Experimental research on effects of influence factors on the axial cutter vibration,cutting forces and the sugarcane cutting quality under complicated excitations

Abstract

The sugarcane field excitation, the engine excitation and reaction forces acting on cutters constitute complicated excitations of sugarcane harvesters. Axial cutter vibration displacement measuring and sugarcane cutting experiments were done on a self-developed sugarcane harvester experiment platform (SHEP) with complicated excitations simulated through a simulated sugarcane field exciter and an actuating engine. Effects of the sugarcane field excitation, the engine excitation and cutting parameters on the axial cutter vibration, three-directional cutting forces and the sugarcane cutting quality (SCQ) were studied through single-factor and orthogonal experiments. Effects of the axial cutter vibration on three-directional cutting forces and those of these two influence factors on the SCQ were also studied. Significance levels of effects in the sugarcane cutting process form high to low are as follow, the sugarcane field excitation, the cutter rotating speed, the engine excitation, the cutter installing angle, the sugarcane harvester moving speed. The axial cutter vibration has a directly and highly significant monotonic negative correlated effect on the SCQ. For the best SCQ, the cutter rotating speed is 700 r/min, the sugarcane harvester moving speed is 0.6 m/s and the cutter installing angle is 8°, providing a reference for setting cutting parameters of sugarcane harvesters with a good SCQ.

Keywords

Sugarcane harvester sugarcane cutting quality sugarcane harvester experiment platform complicated excitations experimental research

Introduction

Currently, research on effects of influence factors on sugarcane ratoon breaking and the sugarcane cutting wastage of sugarcane harvesters have been carried out to improve the sugarcane cutting quality. Valued achievements have been obtained.

Thanomputra improved the cutting efficiency of sugarcane harvesters through abrasive-sand-added high-pressure water cutting.¹ Mello and Momin used different cutters to do sugarcane cutting experiments and found the one with the best cutting quality for sugarcane harvesters.^2,3 Silva evaluated the sugarcane ratoon damage degree caused by the cutting height of sugarcane harvesters through statistical experiment data.⁴ Ripoli designed a cutter with an automatic in-soil-cutting-depth-controlling system dependent on sugarcane field roughness for sugarcane harvesters.⁵ Johnson and Mathanker studied effects of the cutting speed and the cutting edge angle on the cutting energy for sugarcane harvesters.^6,7 Kroes established a kinematic double-cutter model to study the cutter trajectory and calculate the maximum ratio between the sugarcane harvester moving speed and the cutter rotating speed, then to improve the cutting quality of sugarcane harvesters theoretically through kinematics.⁸ Liu obtained the shear modulus and the tensile strength of sugarcanes through tension and compression experiments.⁹ Taghijarah obtained the bending strength of sugarcanes through measuring cutting forces generated by sugarcane harvesters.¹⁰ Lai found the sugarcane field excitation has a bad effect on the cutting system of sugarcane harvesters, causing the axial cutter frame vibration and making the sugarcane cutting quality poor.^11,12 Wang established a cutter vibration model to study the effect of the bearing clearance on the cutting system vibration for sugarcane harvesters.¹³ Huang simulated the sugarcane cutting process through infinite element analysis to study relationships among cutting forces, the cutter installing angle and the sugarcane cutting speed for sugarcane harvetsers.¹⁴ Liu studied relationships among the sliding cutting angle, the cutter installing angle, the sugarcane cutting speed and cutting forces for sugarcane harvesters.¹⁵ Xu established a cutting system model to obtain curves of cutting force changing with time and cloud pictures of the cutting system vibration displacement in the sugarcane cutting process through simulations for sugarcane harvesters.¹⁶ Yang and Pelloso studied effects of the cutter rotating speed and the sugarcane harvester moving speed on the cutting quality of sugarcane harvesters.^17,18

Research above was about mechanics characteristics of sugarcanes, effects of the sugarcane cutting form, design parameters of the cutters, the cutting system vibration, the sugarcane harvester moving speed and the cutter rotating speed on the cutting quality of sugarcane harvesters and effects of influence factors on cutting forces generated by sugarcane harvesters. However, under actual complicated excitations in sugarcane fields, that is, the sugarcane field excitation, the engine excitation and reaction forces generated by sugarcanes acting on cutters, effects of the sugarcane field excitation, the engine excitation, the cutter rotating speed, the cutter installing angle, the sugarcane harvester moving speed and their interactions on the cutting quality of sugarcane harvesters, direct influence factors and their affecting mechanisms in the sugarcane cutting process, that is, the axial cutter vibration and cutting forces, then to study how to improve the sugarcane cutting quality (SCQ) haven’t been considered yet.

In this paper, a sugarcane harvester experiment platform (SHEP), a dynamic sugarcane cutting experiment platform with complicated excitations well simulated through a simulated sugarcane field exciter and an actuating engine was developed to study effects of the sugarcane field excitation, the engine excitation and cutting parameters on the axial cutter vibration, three-directional cutting forces and the sugarcane cutting quality (SCQ) as well as effects of the axial cutter vibration on three-directional cutting forces and those of these two influence factors on the SCQ through single-factor experiments and orthogonal experiments. Based on research mentioned above, influence factors and related affecting mechanisms of the SCQ and the axial cutter vibration were further studied and analyzed through high-speed photographing. Therefore, the SHEP makes the sugarcane cutting process of sugarcane harvesters in sugarcane fields achieved through related simulated experiments in labs, which has never been achieved in previous research, so simulated experiments of sugarcane harvesters under complete vibration causing conditions of the engine, cutting forces existing in the sugarcane cutting process and sugarcane field roughness can be done in labs instead of sugarcane fields to avoid the low efficiency, poor security and bad reliability during experiments in sugarcane fields.¹⁹ SPSS, Excel and MATLAB were used to analyze the experimental data. It is shown through this series of experimental investigations that for the best SCQ, the cutter rotating speed is 700 r/min, the sugarcane harvester moving speed is 0.6 m/s and the cutter installing angle is 8°. This study provides a reference for setting such cutting parameters as the cutter rotating speed, the cutter installing angle and the sugarcane harvester moving speed of sugarcane harvesters with a good cutting quality.

Materials and methods

Design analysis on the sugarcane harvester experiment platform

The sugarcane harvester experiment platform (SHEP) is mainly made up of the sugarcane-fixing device, sugarcane-transporting vehicle, sugarcane-transporting pathway (STP), two simulated sugarcane field exciters (SSFE), two vibration absorbers, the actuating engine, the cutting system, the body frame and the logistics frame. The manufactured SHEP and its three-dimensional model are shown in Figure 1.

Figure 1.

The self-developed SHEP: (a) the three-dimensional model of the SHEP and (b) the manufactured SHEP.

The sugarcane field excitation is simulated through two SSFEs. The engine excitation is simulated through the actuating engine. The SHEP simulates a sugarcane harvester working in a sugarcane field. Sugarcanes clamped in the sugarcane-fixing device are fed by the sugarcane-transporting vehicle to move along the STP, then to cut by the two cutters driven by a stepless speed-adjusting hydraulic motor, so the sugarcane transporting speed simulates the sugarcane harvester moving speed.

The SSFE was developed based on sugarcane field roughness with the excitation frequency band within 10 Hz, the main excitation frequency band being 1–6 Hz and the excitation frequency band with the greatest contribution being 0.5–3.5 Hz.²⁰

The manufactured SSFE and its three-dimensional model with one upper spring and four lower springs are shown in Figure 2.²¹

Figure 2.

The SSFE: (a) the three-dimensional model of the SSFE and (b) the manufactured SSFE.

The SSFE vibration is produced through unbalanced forces generated by the high-speed eccentric mass block rotation and changed through the number of eccentric mass blocks. In this paper, four eccentric mass blocks were installed on the SSFE in all experiments.

Sugarcane cutting quality evaluating indexes

An improved entropy value method^22–25 was used to calculate the sugarcane cutting quality (SCQ) evaluating value, y called the comprehensive cutting quality evaluating value (CCQEV) through four evaluating indexes of the SCQ, the number of axial sugarcane cracks, the axial crack depth, the axial crack length and the number of sugarcanes with broken ratoons,²⁶ as is calculated through the following equations. The greater the CCQEV is, the poorer the SCQ is.

x'_{ij} = \frac{x_{ij} - x_{j min}}{x_{j max} - x_{j min}}

(1)

p_{ij} = \frac{{x'}_{ij}}{\sum_{i = 1}^{m} {x'}_{ij}}

(2)

k = 1 / \ln m

(3)

e_{j} = - k \sum_{i = 1}^{m} p_{ij} \ln p_{ij}

(4)

g_{j} = 1 - e_{j}

(5)

w_{j} = g_{j} / \sum_{j = 1}^{4} g_{j}

(6)

y_{i} = \sum_{j = 1}^{4} {x'}_{ij} w_{j}

(7)

y = \frac{\sum_{i = 1}^{m} y_{i}}{m}

(8)

Where:

$x'_{ij}$ , $x_{ij}$ – the membership degree and the maximum value of the No. j evaluating index in the No. i sugarcane cutting experiment under the same condition. $i = 1, 2, 3, \dots, m,$ $m = 3$ . $j = 1, 2, 3, 4,$ meaning the number of axial sugarcane cracks, the axial crack depth, the axial crack length and the number of sugarcanes with broken ratoons.

$x_{j_{max}}, x_{j_{min}}$ – the maximum and the minimum values of the No. j evaluating index in all sugarcane cutting experiments under the same condition.

$p_{ij}$ – the proportion of the No. j evaluating index in the No. i sugarcane cutting experiment under the same condition.

$e_{j}$ , $g_{j}$ , $w_{j}$ – the entropy value, the difference coefficient and the contribution weight of the No. j evaluating index.

$y_{i}$ , $y$ – the CCQEV of the No. i sugarcane cutting experiment under the same condition and the average value of all CCQEVs under the same experiment condition, as the CCQEV under this experiment condition.

Equipment for experiments

Fresh No.42 Guitang sugarcanes with an average diameter of 28 ± 3 mm were used to do sugarcane cutting experiments.

Axial cutter vibration displacements without cutting sugarcanes and in the sugarcane cutting process were measured through a laser displacement sensor. Three-directional cutting forces were measured through a common milling force-measuring system. Axial sugarcane crack depths and lengths were measured through a vernier caliper to calculate the CCQEV.

Effects of the sugarcane field excitation and the engine excitation were characterized by the SSFE output frequency dependent on the input one and the actuating engine output frequency equal to the input one.²⁷ Input frequencies of the SSFE and the actuating engine were respectively controlled through two digital frequency convertors.

The cutter rotating speed was controlled through a stepless speed-adjusting hydraulic motor and measured through a laser tachometer. The sugarcane transporting speed was controlled through a variable-frequency speed-adjusting motor to simulate the sugarcane harvester moving speed. The cutter installing angle was measured through a digital inclinometer.

The sugarcane cutting process was observed through a high-speed camera with the greatest shoot frame number being 4000/s, the screen resolution being 1024 × 768 and the shoot rate being 1000 frames/s.

Block diagrams of the axial cutter vibration displacement-measuring system and the common milling force-measuring system are shown in Figures 3 and 4.

Figure 3.

The block diagram of the axial cutter vibration displacement-measuring system.

Figure 4.

The block diagram of the common milling force-measuring system.

In this paper, the x axis is along the STP, pointing to the back of the SHEP, the y axis is vertical to the STP, pointing to the left of the SHEP and the z axis is along the cutter axis when the cutter installing angle is 0°, pointing vertically and upwards. The laser of the laser displacement sensor fell on the cutter along the z axis to measure the axial cutter vibration displacement, as is shown in Figure 5. The digital inclinometer was put on the cutter to measure the cutter installing angle, as is shown in Figure 6.

Figure 5.

The laser of the laser displacement sensor falling on the cutter along the z axis.

Figure 6.

The digital inclinometer put on the cutter.

The three-directional force-measuring device was installed under the sugarcane-fixing device, as is shown in Figure 7.

Figure 7.

The three-directional force-measuring device: (a) the three-directional force-measuring device, (b) three channels corresponding to the x, the y and the z axes, and (c) the three-directional force-measuring device installed under the sugarcane-fixing device.

Experiment design

The block diagram of the experiment methodology is shown in Figure 8.

Figure 8.

The block diagram of the experiment methodology.

The SSFE output frequency calibration experiment design

Before all single-factor experiments and orthogonal experiments, the SSFE output frequency calibration experiment was done to obtain the SSFE output frequencies dependent on the input ones and make sure whether the SSFE output frequencies are in the main excitation frequency band of sugarcane field roughness.

The laser tachometer was used to measure the eccentric axis rotation speed of the SSFE used to calculate its corresponding frequency. This frequency is just the SSFE output frequency dependent on the input one at this moment. The SSFE input and output frequencies and the eccentric axis rotation speed of the SSFE have nothing to do with the eccentric mass of the SSFE.

Single-factor experiment design

Design on single-factor experiments measuring the axial cutter vibration displacement without cutting sugarcanes

Experimental factors of these single-factor experiments were input frequencies of the SSFE and the actuating engine as well as the cutter rotating speed. Their levels are shown in Table 1. The experimental index was the axial cutter vibration displacement without cutting sugarcanes. These single-factor experiments were aimed at studying effects of the sugarcane field excitation, the engine excitation and the cutter rotating speed on the axial no-load cutter vibration.

Table 1.

Levels of the three experimental factors.

Experimental factor	The SSFE input frequency (Hz)	The actuating engine input frequency (Hz)	The cutter rotating speed (r/min)
Level	8–25 (The step size is 1.)	6–32 (The step size is 1.)	250–800 (The step size is 50.)

When the effect of one single factor on the axial cutter vibration displacement without cutting sugarcanes was studied, levels of the other two single factors were set as 0.

Design on single-factor experiments cutting sugarcanes under simulated complicated excitations

Experimental factors of these single-factor experiments were input frequencies of the SSFE and the actuating engine, the cutter rotating speed, the sugarcane transporting speed and the cutter installing angle. Levels of the former three experimental factors are shown in Table 1. Levels of the rest two experimental factors are shown in Table 2. Experimental indexes were the axial cutter vibration displacement, three-directional cutting forces and the CCQEV. These single-factor experiments were aimed at studying effects of the sugarcane field excitation, the engine excitation, the cutter rotating speed, the sugarcane harvester moving speed and the cutter installing angle on the axial cutter vibration in the sugarcane cutting process, three-directional cutting forces and the SCQ. Effects of the axial cutter vibration in the sugarcane cutting process on three-directional cutting forces and the SCQ as well as effects of three-directional cutting forces on the SCQ were further studied.

Table 2.

Levels of the sugarcane transporting speed and the cutter installing angle.

Experimental factor	The sugarcane transporting speed (m/s)	The cutter installing angle (°)
Level	0.1–0.8 (The step size is 0.1.)	0–20 (The step size is 2.)

Constant levels of the SSFE input frequency, the actuating engine input frequency, the cutter rotating speed, the sugarcane transporting speed and the cutter installing angle were 20 Hz, 22 Hz, 700 r/min, 0.6 m/s and 8°.

Orthogonal experiment design

Design on the orthogonal experiment measuring the axial cutter vibration displacement without cutting sugarcanes

Experimental factors of this orthogonal experiment were input frequencies of the SSFE and the actuating engine as well as the cutter rotating speed. Their levels are shown in Table 3. The experimental index was the axial cutter vibration displacement without cutting sugarcanes. This orthogonal experiment was aimed at studying significance levels of effects of the sugarcane field excitation, the engine excitation, the cutter rotating speed and their interactions on the axial no-load cutter vibration. The L₂₅(5⁶) orthogonal table was chosen. The experiment arrangement is shown in Table 4.

Table 3.

Levels of the three experimental factors.

Level	1	2	3	4	5
Experimental factor
The SSFE input frequency, A (Hz)	8	11	17	20	25
The actuating engine input frequency, B (Hz)	19	22	26	28	30
The cutter rotating speed, C (r/min)	400	500	550	600	650

Table 4.

The experiment arrangement of the orthogonal experiment measuring the axial cutter vibration displacement without cutting sugarcanes.

Experiment number	Experimental factor
Experiment number	A	B	C	Blank column	Blank column	Blank column
1	1	1	1	1	1	1
2	1	2	2	2	2	2
3	1	3	3	3	3	3
4	1	4	4	4	4	4
5	1	5	5	5	5	5
6	2	1	2	3	4	5
7	2	2	3	4	5	1
8	2	3	4	5	1	2
9	2	4	5	1	2	3
10	2	5	1	2	3	4
11	3	1	3	5	2	4
12	3	2	4	1	3	5
13	3	3	5	2	4	1
14	3	4	1	3	5	2
15	3	5	2	4	1	3
16	4	1	4	2	5	3
17	4	2	5	3	1	4
18	4	3	1	4	2	5
19	4	4	2	5	3	1
20	4	5	3	1	4	2
21	5	1	5	4	3	2
22	5	2	1	5	4	3
23	5	3	2	1	5	4
24	5	4	3	2	1	5
25	5	5	4	3	2	1

Design on the orthogonal experiment cutting sugarcanes under simulated complicated excitations

Experimental factors of this orthogonal experiment were input frequencies of the SSFE and the actuating engine, the cutter rotating speed, the sugarcane transporting quality, the cutter installing angle. Their levels are shown in Table 5. Experimental indexes were the axial cutter vibration displacement, three-directional cutting forces and the CCQEV. This orthogonal experiment was aimed at studying significance levels of effects of the sugarcane field excitation, the engine excitation, the cutter rotating speed, the sugarcane harvester moving speed, the cutter installing angle and their interactions on the axial cutter vibration in the sugarcane cutting process, three-directional cutting forces and the SCQ. The L₂₅(5⁶) orthogonal table was chosen. The experiment arrangement is shown in Table 6.

Table 5.

Levels of the five experimental factors.

Level	1	2	3	4	5
Experiment factor
The SSFE input frequency, A (Hz)	8	11	17	20	25
The actuating engine input frequency, B (Hz)	19	22	26	28	30
The cutter rotating speed, C (r/min)	450	500	650	700	750
The sugarcane transporting speed, D (m/s)	0.4	0.5	0.6	0.7	0.8
The cutter installing angle, E (°)	4	8	16	18	20

Table 6.

The experiment arrangement of the orthogonal experiment cutting sugarcanes under simulated complicated excitations.

Experiment number	Experimental factor
Experiment number	A	B	C	D	E	Blank column
1	1	1	1	1	1	1
2	1	2	2	2	2	2
3	1	3	3	3	3	3
4	1	4	4	4	4	4
5	1	5	5	5	5	5
6	2	1	2	3	4	5
7	2	2	3	4	5	1
8	2	3	4	5	1	2
9	2	4	5	1	2	3
10	2	5	1	2	3	4
11	3	1	3	5	2	4
12	3	2	4	1	3	5
13	3	3	5	2	4	1
14	3	4	1	3	5	2
15	3	5	2	4	1	3
16	4	1	4	2	5	3
17	4	2	5	3	1	4
18	4	3	1	4	2	5
19	4	4	2	5	3	1
20	4	5	3	1	4	2
21	5	1	5	4	3	2
22	5	2	1	5	4	3
23	5	3	2	1	5	4
24	5	4	3	2	1	5
25	5	5	4	3	2	1

In all single-factor experiments and orthogonal experiments, every group of experiments were done for three times. The average value of results of these three times of experiments was chosen as the final result under this experiment condition.

Results

Analysis on the SSFE output frequency calibration experiment result

The SSFE output frequency calibration experiment result is shown in Table 7.

Table 7.

The SSFE output frequency calibration experiment result.

The SSFE input frequency (Hz)	The eccentric axis rotation speed (r/min)	The SSFE output frequency (Hz)
8	134.45	2.24
9	153.49	2.56
10	172.26	2.87
11	191.08	3.18
12	208.28	3.47
13	227.34	3.79
14	245.13	4.09
15	264.23	4.40
16	281.43	4.69
17	299.69	4.99
18	318.02	5.30
19	334.19	5.57
20	351.78	5.86
21	368.63	6.14
22	388.18	6.47
23	404.62	6.74
24	422.16	7.04
25	440.88	7.35

According to Table 7, the SSFE output frequencies range from 1.3 Hz to 4.81 Hz, approximately in the excitation frequency band with the greatest contribution of sugarcane field roughness, 0.5–3.5 Hz.

Analysis on single-factor experiment results

Analysis on results of single-factor experiments measuring the axial cutter vibration displacement without cutting sugarcanes

Analysis on the effect of the sugarcane field excitation on the axial no-load cutter vibration

The curve of the axial cutter vibration displacement changing with the SSFE input frequency without cutting sugarcanes drawn through Excel is shown in Figure 9.

Figure 9.

The curve of the axial cutter vibration displacement changing with the SSFE input frequency without cutting sugarcanes.

According to Figure 9, the greater the SSFE input frequency is, the greater the axial cutter vibration displacement without cutting sugarcanes is. Their monotonic correlation analysis result and the single-factor variance analysis result with the SSFE input frequency as the independent variable obtained through SPSS are shown in Tables 8 and 9.

Table 8.

The monotonic correlation analysis result of the axial cutter vibration displacement without cutting sugarcanes and the SSFE input frequency.

Monotonic correlation coefficient	Monotonic correlation significance coefficient
0.839	0.000

Table 9.

The single-factor variance analysis result with the SSFE input frequency as the independent variable.

Source	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient
Inter-group	42.018	17	2.472	31,039.238	0.000
Intra-group	0.003	36	0.000
Total value	42.021	53

According to Table 8, the monotonic correlation significance coefficient is 0, so there is a significant monotonic correlated relationship between the axial cutter vibration displacement without cutting sugarcanes and the SSFE input frequency. Moreover, the monotonic correlation coefficient is 0.839 > 0, so there is a significant positive monotonic correlated relationship between the axial cutter vibration displacement without cutting sugarcanes and the SSFE input frequency, verifying the discovery obtained through Figure 9. Therefore, the more obvious the sugarcane field excitation is, that is, the more bumpy sugarcane fields are, the more severe the axial no-load cutter vibration will be.

On the other hand, according to Figure 9, when the input frequency of the SSFE is 20 Hz, a wave crest of the axial cutter vibration displacement without cutting sugarcanes appears. According to Table 7, the output frequency corresponding to 20 Hz is 5.86 Hz close to 6 Hz, in the main excitation frequency band of sugarcane field roughness, 1–6 Hz. According to the LMS modal test result of the SHEP got previously by our research group,²⁶ the first natural frequency of the SHEP is 6.819 Hz which is between 6 Hz and 7 Hz. 5.86 Hz is close to the first natural frequency of the SHEP, 6.819 Hz. Therefore, the sympathetic vibration of the SHEP appeared when the input frequency of the SSFE was 20 Hz. Then the sympathetic vibration of the SHEP made the peak value, also the maximum value of the axial cutter vibration displacement without cutting sugarcanes appear. Therefore, low-stage natural frequencies of sugarcane harvesters should be improved to be away from the main excitation frequency band of sugarcane field roughness to avoid the sympathetic vibration, then to weaken the axial no-load cutter vibration.

According to Table 9, the significance coefficient is 0, so the SSFE input frequency has a significant effect on the axial cutter vibration displacement without cutting sugarcanes. Therefore, the sugarcane field excitation has a significant effect on the axial no-load cutter vibration.

Analysis on the effect of the engine excitation on the axial no-load cutter vibration

The curve of the axial cutter vibration displacement changing with the actuating engine input frequency without cutting sugarcanes drawn through Excel is shown in Figure 10.

Figure 10.

The curve of the axial cutter vibration displacement changing with the actuating engine input frequency without cutting sugarcanes.

According to Figure 10, when actuating engine input frequencies are 8, 11, 14, 19, 22 and 28 Hz with equal output ones, 8 Hz is close to the first natural frequency of the SHEP and 11, 14, 19, 22 Hz as well as 28 Hz are close to the second and the third natural frequencies of the SHEP, 11.514 Hz and 23.198 Hz according to the LMS modal test result of the SHEP, making the sympathetic vibration of the SHEP appear, then making peak values of the axial cutter vibration displacement without cutting sugarcanes appear. Besides, according to Figure 10, when the actuating engine input frequency was 22 Hz, the axial cutter vibration displacement without cutting sugarcanes reached the maximum value. Therefore, it is shown again that low-stage natural frequencies of sugarcane harvesters should be improved to avoid the sympathetic vibration, then to weaken the axial no-load cutter vibration.

SPSS was used to obtain the monotonic correlation analysis result of the axial cutter vibration displacement without cutting sugarcanes and the actuating engine input frequency and the single-factor variance analysis result with the actuating engine input frequency as the independent variable, as is shown in Tables 10 and 11.

Table 10.

The monotonic correlation analysis result of the axial cutter vibration displacement without cutting sugarcanes and the actuating engine input frequency.

Monotonic correlation coefficient	Monotonic correlation significance coefficient
0.696	0.000

Table 11.

The single-factor variance analysis result with the actuating engine input frequency as the independent variable.

Source	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient
Inter-group	0.274	26	0.011	151.550	0.000
Intra-group	0.004	54	0.000
Total value	0.277	80

According to Table 10, the monotonic correlation significance coefficient is 0 < 0.01, so there is a significant monotonic correlated relationship between the axial cutter vibration displacement without cutting sugarcanes and the actuating engine input frequency. Moreover, the monotonic correlation coefficient is 0.696 > 0, so there is a significant positive monotonic correlated relationship between the axial cutter vibration displacement without cutting sugarcanes and the actuating engine input frequency, that is, the greater the input frequency of the actuating engine is, the greater the axial cutter vibration displacement without cutting sugarcanes will be. Therefore, the more obvious the engine excitation is, that is, the more severe the engine vibration is, then the more severe the axial no-load cutter vibration will be.

According to Table 11, the significance coefficient is 0, so the actuating engine input frequency has a significant effect on the axial cutter vibration displacement without cutting sugarcanes. Therefore, the engine excitation has a significant effect on the axial no-load cutter vibration.

Analysis on the effect of the cutter rotating speed on the axial no-load cutter vibration

The curve of the axial cutter vibration displacement changing with the cutter rotating speed without cutting sugarcanes drawn through Excel is shown in Figure 11.

Figure 11.

The curve of the axial cutter vibration displacement changing with the cutter rotating speed without cutting sugarcanes.

According to Figure 11, the axial cutter vibration displacement without cutting sugarcanes increased along with the cutter rotating speed increasing at the beginning. According to Table 7, when the cutter rotating speed was 400 r/min, the cutter vibration displacement without cutting sugarcanes reached the first peak value. Then the cutter vibration displacement without cutting sugarcanes decreased and increased again from the cutter rotating speed of 450 r/min. When the cutter rotating speed was 550 r/min, the cutter vibration displacement without cutting sugarcanes reached the second peak value, also the maximum value. The output frequency corresponding to 400 r/min is 6.67 Hz close to the first natural frequency of the SHEP, 6.819 Hz. The output frequency corresponding to 550 r/min is 9.17 Hz close to the second natural frequency of the SHEP, 11.514 Hz. Therefore, the sympathetic vibration of the SHEP appeared when the cutter rotating speed was 400 r/min and 550 r/min. Then the sympathetic vibration of the SHEP made peak values of the axial cutter vibration displacement without cutting sugarcanes appear. Therefore, it is further shown that low-stage natural frequencies of sugarcane harvesters should be improved to avoid the sympathetic vibration, then to weaken the axial no-load cutter vibration.

SPSS was used to obtain the monotonic correlation analysis result of the axial cutter vibration displacement without cutting sugarcanes and the cutter rotating speed and the single-factor variance analysis result with the cutter rotating speed as the independent variable, as is shown in Tables 12 and 13.

Table 12.

The monotonic correlation analysis result of the axial cutter vibration displacement without cutting sugarcanes and the cutter rotating speed.

Monotonic correlation coefficient	Monotonic correlation significance coefficient
−0.007	0.000

Table 13.

The single-factor variance analysis result with the cutter rotating speed as the independent variable.

Source	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient
Inter-group	0.192	11	0.017	1259.577	0.000
Intra-group	0.000	24	0.000
Total value	0.193	35

According to Table 12, the monotonic correlation significance coefficient is 0, so there is a strong correlated relationship between the axial cutter vibration displacement without cutting sugarcanes and the cutter rotating speed. Moreover, the monotonic correlation coefficient is −0.007 < 0, so there is a significant negative correlated relationship between the axial cutter vibration displacement without cutting sugarcanes and the cutter rotating speed, that is, the greater the cutter rotating speed is, the smaller the axial cutter vibration displacement without cutting sugarcanes will be. Therefore, the greater the cutter rotating speed is, the more severe the axial no-load cutter vibration will be.

According to Table 13, the significance coefficient is 0, so the cutter rotating speed has a significant effect on the axial cutter vibration displacement without cutting sugarcanes. Therefore, the cutter rotating speed has a significant effect on the axial no-load cutter vibration.

Analysis on results of single-factor experiments cutting sugarcanes under simulated complicated excitations

Analysis on effects of the sugarcane field excitation on the axial cutter vibration, three-directional cutting forces and the SCQ

Curves of the axial cutter vibration displacement, three-directional cutting forces and the CCQEV changing with the SSFE input frequency in the sugarcane cutting process drawn through Excel are shown in Figures 12 to 14. The curve of the axial cutter vibration displacement changing with the SSFE input frequency without cutting sugarcanes is also put in Figure 12 to compare effects of the SSFE input frequency on the axial cutter vibration displacement without cutting sugarcanes and in the sugarcane cutting process.

Figure 12.

Curves of the axial cutter vibration displacement changing with the SSFE input frequency without cutting sugarcanes and in the sugarcane cutting process.

Figure 13.

Curves of three-directional cutting forces changing with the SSFE input frequency.

Figure 14.

The curve of the CCQEV changing with the SSFE input frequency.

According to Figure 12, the greater the SSFE input frequency is, the greater the axial cutter vibration displacement in the sugarcane cutting process is. Their monotonic correlation analysis result obtained through SPSS is shown in Table 14.

Table 14.

The monotonic correlation analysis result of the axial cutter vibration displacement in the sugarcane cutting process and the SSFE input frequency.

Monotonic correlation coefficient	Monotonic correlation significance coefficient
0.845	0.000

According to Table 14, the monotonic correlation significance coefficient is 0, so there is a significant monotonic correlated relationship between the axial cutter vibration displacement in the sugarcane cutting process and the SSFE input frequency. Moreover, the monotonic correlation coefficient is 0.845 > 0, so there is a significant positive monotonic correlated relationship between the axial cutter vibration displacement in the sugarcane cutting process and the SSFE input frequency, verifying the discovery obtained through Figure 12. Therefore, the more obvious the sugarcane field excitation is, that is, the more bumpy sugarcane fields are, the more severe the axial cutter vibration in the sugarcane cutting process will be.

Moreover, when the SSFE input frequencies are 20 Hz and 21 Hz with output ones being 5.86 Hz and 6.14 Hz, close to the first natural frequency of the SHEP, making the sympathetic vibration of the SHEP appear, then making peak values of the axial cutter vibration displacement appear according to Figures 8 and 11. Therefore, low-stage natural frequencies of sugarcane harvesters should be improved to be away from the main excitation frequency band of sugarcane field roughness to avoid the sympathetic vibration, then to weaken the axial cutter vibration in the sugarcane cutting process.

When the SSFE input frequencies are 9, 11, 14, 17, 19 and 21 Hz with output ones being 2.56, 3.18, 4.09, 4.99, 5.57 and 6.14, 2.56 and 3.18 Hz are in the excitation frequency band of sugarcane field roughness with the greatest contribution, 0.5~3.5, 4.09 and 4.99 Hz are in the main excitation frequency band of sugarcane field roughness, 1–6 Hz and 5.57 Hz as well as 6.14 Hz are close to the first natural frequency of the SHEP, making the sympathetic vibration of the SHEP appear, then making peak values of three-directional forces appear according to Figure 13. Therefore, it is shown again that low-stage natural frequencies of sugarcane harvesters should be improved to be away from the main excitation frequency band of sugarcane field roughness to avoid the sympathetic vibration, then to weaken the axial cutter vibration in the sugarcane cutting process and decrease three-directional cutting forces, so there may be positive correlated relationships between three-directional cutting forces and the axial cutter vibration in the sugarcane cutting process.

SPSS was used to obtain monotonic correlation analysis results of three-directional cutting forces and the SSFE input frequency, as is shown in Table 15.

Table 15.

Monotonic correlation analysis results of three-directional cutting forces and the SSFE input frequency.

Experimental index	The x-directional cutting force	The y-directional cutting force	The z-directional cutting force
Monotonic correlation coefficient	0.504	0.268	0.480
Monotonic correlation significance coefficient	0.000	0.000	0.000

According to Table 15, monotonic correlation significance coefficients are all 0, so there are significant monotonic correlated relationships between three-directional cutting forces and the SSFE input frequency. Moreover, monotonic correlation coefficients are 0.504, 0.268 and 0.48 > 0, so there are significant positive monotonic correlated relationships between three-directional cutting forces and the SSFE input frequency, that is, the greater the SSFE input frequency is, the greater three-directional cutting forces will be. Therefore, the more obvious the sugarcane field excitation is, that is, the more bumpy sugarcane fields are, then the greater three-directional cutting forces will be.

When the SSFE input frequencies are 9, 16, 19 and 21 Hz with output ones being 2.56, 4.69, 5.57 and 6.14, 2.56 and 4.69 Hz are in the excitation frequency band of sugarcane field roughness with the greatest contribution and the main excitation frequency band of sugarcane field roughness and 5.57 Hz as well as 6.14 Hz are close to the first natural frequency of the SHEP, making the sympathetic vibration of the SHEP appear, then making peak values of the CCQEV appear according to Figure 14. Therefore, it is further shown that low-stage natural frequencies of sugarcane harvesters should be improved to be away from the main excitation frequency band of sugarcane field roughness to avoid the sympathetic vibration, then to weaken the axial cutter vibration in the sugarcane cutting process and make the SCQ better, so there may be a negative correlated relationship between the SCQ and the axial cutter vibration in the sugarcane cutting process.

Additionally, according to Figure 14, when the SSFE input frequency was 21 Hz with its output frequency being 6.14 Hz, close to the main excitation frequency band of sugarcane field roughness and the first natural frequency of the SHEP, the CCQEV was the greatest, the SCQ was the poorest. Therefore, it is further shown that low-stage natural frequencies of sugarcane harvesters should be improved to be away from the main excitation frequency band of sugarcane field roughness to avoid the sympathetic vibration, then to weaken the axial cutter vibration in the sugarcane cutting process.

SPSS was used to obtain the monotonic correlation analysis result of the CCQEV and the SSFE input frequency, as is shown in Table 16.

Table 16.

The monotonic correlation analysis result of the CCQEV and the SSFE input frequency.

Monotonic correlation coefficient	Monotonic correlation significance coefficient
0.030	0.000

According to Table 16, the monotonic correlation significance coefficients is 0, so there is a significant monotonic correlated relationship between the CCQEV and the SSFE input frequency. Moreover, the monotonic correlation coefficient is 0.03 > 0, so there is a significant positive monotonic correlated relationship between the CCQEV and the SSFE input frequency, that is, the greater the SSFE input frequency is, the CCQEV will be, the poorer the SCQ will be. Therefore, the more obvious the sugarcane field excitation is, that is, the more bumpy sugarcane fields are, then the poorer the SCQ will be.

Single-factor variance analysis results with the SSFE input frequency as the independent variable obtained through SPSS is shown in Table 17.

Table 17.

Single-factor variance analysis results with the SSFE input frequency as the independent variable.

Experimental index	The axial cutter vibration displacement					The x-directional cutting force					The y-directional cutting force					The z-directional cutting force					The CCQEV
Source	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient
Inter-group	458.398	17	26.965	302.562	0.000	2,865,071.943	17	168,533.644	3.27	0.001	7,628,341.311	17	448,725.959	3.247	0.001	4,769,919.277	17	280,583.487	9.029	0.000	41.001	17	2.412	1.207	0.048
Intra-group	3.208	36	0.089			1,855,500.245	36	51,541.673			4,974,733.432	36	138,187.040			1,118,757.555	36	31,076.599			71.942	36	1.998
Total value	461.606	53				4,720,572.188	53				12,603,074.743	53				5,888,676.831	53				112.943	53

According to Table 17, significance coefficients are smaller than 0.05, so the SSFE input frequency has significant effects on the axial cutter vibration displacement, three-directional cutting forces and the CCQEV. Therefore, the sugarcane field excitation has significant effects on the axial cutter vibration, three-directional cutting forces and the SCQ.

Analysis on effects of the engine excitation on the axial cutter vibration, three-directional cutting forces and the SCQ

Curves of the axial cutter vibration displacement, the three-directional cutting forces and the CCQEV changing with the actuating engine input frequency in the sugarcane cutting process drawn through Excel are shown in Figures 15 to 17. The curve of the axial cutter vibration displacement changing with the actuating engine input frequency without cutting sugarcanes is also put in Figure 15 to compare effects of the actuating engine input frequency on the axial cutter vibration displacement without cutting sugarcanes and in the sugarcane cutting process.

Figure 15.

Curves of the axial cutter vibration displacement changing with the actuating engine input frequency without cutting sugarcanes and in the sugarcane cutting process.

Figure 16.

Curves of three-directional cutting forces changing with the actuating engine input frequency.

Figure 17.

The curve of the CCQEV changing with the actuating engine input frequency.

When actuating engine input frequencies are 8, 11, 14, 19, 21, 25, 27 and 30 Hz, close to the first, the second and the third natural frequencies of the SHEP, the sympathetic vibration of the SHEP appeared, making peak values of the axial cutter vibration displacement appear according to Figure 15. Therefore, it is further shown that low-stage natural frequencies of sugarcane harvesters should be improved to avoid the sympathetic vibration, then to weaken the axial cutter vibration in the sugarcane cutting process.

SPSS was used to obtain the monotonic correlation analysis result of the axial cutter vibration displacement in the sugarcane cutting process and the actuating engine input frequency, as is shown in Table 18.

Table 18.

The monotonic correlation analysis result of the axial cutter vibration displacement in the sugarcane cutting process and the actuating engine input frequency.

Monotonic correlation coefficient	Monotonic correlation significance coefficient
0.543	0.000

According to Table 18, the monotonic correlation significance coefficient is 0, so there is a strong correlated relationship between the axial cutter vibration displacement in the sugarcane cutting process and the actuating engine input frequency. Moreover, the monotonic correlation coefficient is 0.543 > 0, so there is a significant positive correlated relationship between the axial cutter vibration displacement in the sugarcane cutting process and the actuating engine input frequency, that is, the greater the actuating engine input frequency is, the greater the axial cutter vibration displacement will be. Therefore, the more obvious the engine excitation is, that is, the more severe the engine vibration is, then the more severe the axial cutter vibration in the sugarcane cutting process will be.

When actuating engine input frequencies are 8, 11, 14, 19, 21, 25 and 28 Hz, close to the first, the second and the third natural frequencies of the SHEP, the sympathetic vibration of the SHEP appeared, making peak values of the axial cutter vibration displacement appear according to Figure 16. Therefore, it is further shown that low-stage natural frequencies of sugarcane harvesters should be improved to avoid the sympathetic vibration, then to weaken the axial cutter vibration in the sugarcane cutting process and decrease three-directional cutting forces, so it is shown again that there may be positive correlated relationships between three-directional cutting forces and the axial cutter vibration in the sugarcane cutting process.

SPSS was used to obtain monotonic correlation analysis results of three-directional cutting forces and the actuating engine input frequency, as is shown in Table 19.

Table 19.

Monotonic correlation analysis results of effects of three-directional cutting forces and the actuating engine input frequency.

Experimental index	The x-directional cutting force	The y-directional cutting force	The z-directional cutting force
Monotonic correlation coefficient	0.597	0.415	0.551
Monotonic correlation significance coefficient	0.000	0.000	0.000

According to Table 19, monotonic correlation significance coefficients are all 0, so there are strong correlated relationships between three-directional cutting forces and the actuating engine input frequency. Moreover, monotonic correlation coefficients are 0.597, 0.415 and 0.551 > 0, so there are significant positive monotonic correlated relationships between three-directional cutting forces and the actuating engine input frequency, that is, the greater the actuating engine input frequency is, the greater three-directional cutting forces will be. Therefore, the more obvious the engine excitation is, that is, the more severe the engine vibration is, the greater three-directional cutting forces will be.

When actuating engine input frequencies are 8, 11, 19, 21, 25 and 27 Hz, close to the first, the second and the third natural frequencies of the SHEP, the sympathetic vibration of the SHEP appeared, making peak values of the CCQEV appear according to Figure 17. Therefore, it is further shown that low-stage natural frequencies of sugarcane harvesters should be improved to avoid the sympathetic vibration, then to weaken the axial cutter vibration in the sugarcane cutting process and make the SCQ better, so it is shown again that there may be a negative correlated relationship between the SCQ and the axial cutter vibration in the sugarcane cutting process.

Additionally, according to Figure 17, when the actuating engine input frequency was 21 Hz, the CCQEV was the greatest, the SCQ was the poorest.

SPSS was used to obtain the monotonic correlation analysis result of the CCQEV and the actuating engine input frequency, as is shown in Table 20.

Table 20.

The monotonic correlation analysis result of the CCQEV and the actuating engine input frequency.

Monotonic correlation coefficient	Monotonic correlation significance coefficient
0.170	0.000

According to Table 20, the monotonic correlation significance coefficient is 0, so there is a significant monotonic correlated relationship between the CCQEV and the actuating engine input frequency. Moreover, the monotonic correlation coefficient is 0.17 > 0, so there is a significant positive monotonic correlated relationship between the CCQEV and the actuating engine input frequency, that is, the greater the actuating engine input frequency is, the CCQEV will be, the poorer the SCQ will be. Therefore, the more obvious the engine excitation is, that is, the more severe the engine vibration is, then the poorer the SCQ will be.

Single-factor variance analysis results with the actuating engine input frequency as the independent variable obtained through SPSS is shown in Table 21.

Table 21.

Single-factor variance analysis results with the actuating engine input frequency as the independent variable.

Experimental index	The axial cutter vibration displacement					The x-directional cutting force					The y-directional cutting force					The z-directional cutting force					The CCQEV
Source	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient
Inter-group	410.018	26	15.770	121.426	0.000	960,095.864	26	36,926.764	168.645	0.000	2,797,384.525	26	107,591.713	169.194	0.000	901,654.114	26	34,679.004	127.623	0.000	8.288	26	0.319	2.086	0.011
Intra-group	7.013	54	0.130			11,823.908	54	218.961			34,338.933	54	635.906			14,673.374	54	271.729			8.254	54	0.153
Total value	417.031	80				971,919.772	80				2,831,723.458	80				916,327.488	80				16.542	80

According to Table 21, significance coefficients are smaller than 0.05, so the actuating engine input frequency has significant effects on the axial cutter vibration displacement, three-directional cutting forces and the CCQEV. Therefore, the engine excitation has significant effects on the axial cutter vibration, three-directional cutting forces and the SCQ.

Analysis on effects of the cutter rotating speed on the axial cutter vibration, three-directional cutting forces and the SCQ

Curves of the axial cutter vibration displacement, three-directional cutting forces and the CCQEV changing with the cutter rotating speed in the sugarcane cutting process drawn through Excel are shown in Figures 18 to 20. The curve of the axial cutter vibration displacement changing with the cutter rotating speed without cutting sugarcanes is also put in Figure 18 to compare effects of the cutter rotating speed on the axial cutter vibration displacement without cutting sugarcanes and in the sugarcane cutting process.

Figure 18.

Curves of the axial cutter vibration displacement changing with the cutter rotating speed without cutting sugarcanes and in the sugarcane cutting process.

Figure 19.

Curves of three-directional cutting forces changing with the cutter rotating speed.

Figure 20.

The curve of the CCQEV changing with the cutter rotating speed.

According to Figure 18, the axial cutter vibration displacement increased along with the cutter rotating speed increasing at the beginning. When the cutter rotating speed was 400 r/min with its corresponding output frequency being 6.67 Hz, close to the first natural frequency of the SHEP, the cutter vibration displacement reached the first peak value. Then the cutter vibration displacement decreased and increased again when the cutter rotating speed was 450 r/min with its corresponding output frequency being 7.5 Hz, close to the first natural frequency of the SHEP. When the cutter rotating speed was 550 r/min with its corresponding output frequency being 9.17 Hz, close to the second natural frequency of the SHEP, the cutter vibration displacement reached the second peak value, also the maximum value. Therefore, the sympathetic vibration of the SHEP appeared when the cutter rotating speed was 400 r/min and 550 r/min. Then the sympathetic vibration of the SHEP made peak values of the axial cutter vibration displacement without cutting sugarcanes appear. Therefore, it is further shown that low-stage natural frequencies of sugarcane harvesters should be improved to avoid the sympathetic vibration, then to weaken the axial cutter vibration in the sugarcane cutting process.

SPSS was used to obtain the monotonic correlation analysis result of the axial cutter vibration displacement in the sugarcane cutting process and the cutter rotating speed, as is shown in Table 22.

Table 22.

The monotonic correlation analysis result of the axial cutter vibration displacement in the sugarcane cutting process and the cutter rotating speed.

Monotonic correlation coefficient	Monotonic correlation significance coefficient
−0.025	0.000

According to Table 22, the monotonic correlation significance coefficient is 0, so there is a strong correlated relationship between the axial cutter vibration displacement in the sugarcane cutting process and the cutter rotating speed. Moreover, the monotonic correlation coefficient is −0.025 < 0, so there is a significant negative monotonic correlated relationship between the axial cutter vibration displacement in the sugarcane cutting process and the cutter rotating speed, that is, the greater the cutter rotating speed is, the smaller the axial cutter vibration displacement will be. Therefore, the greater the cutter rotating speed is, the weaker the axial cutter vibration in the sugarcane cutting process will be.

According to Figure 19, along with the cutter rotating speed increasing, three-directional cutting forces increased firstly and then decreased in that when the cutter rotating speed decreases, causing lack of cutting energies, the cutters will push down and compress sugarcanes instead of cutting off them at once, causing accumulation of cutting forces.

SPSS was used to obtain monotonic correlation analysis results of three-directional cutting forces and the cutter rotating speed, as is shown in Table 23.

Table 23.

Monotonic correlation analysis results of three-directional cutting forces and the cutter rotating speed.

Experimental index	The x-directional cutting force	The y-directional cutting force	The z-directional cutting force
Monotonic correlation coefficient	−0.041	−0.023	−0.012
Monotonic correlation significance coefficient	0.000	0.000	0.000

According to Table 23, monotonic correlation significance coefficients are all 0, so there are strong correlated relationships between three-directional cutting forces and the cutter rotating speed. Moreover, monotonic correlation coefficients are −0.041, −0.023 and −0.012 < 0, so there are significant negative monotonic correlated relationships between three-directional cutting forces and the cutter rotating speed, that is, the greater the cutter rotating speed is, the smaller three-directional cutting forces will be.

SPSS was used to obtain the monotonic correlation analysis result of the CCQEV and the cutter rotating speed, as is shown in Table 24.

Table 24.

The monotonic correlation analysis result of the CCQEV and the cutter rotating speed.

Monotonic correlation coefficient	Monotonic correlation significance coefficient
−0.014	0.000

According to Table 24, the monotonic correlation significance coefficient is 0, so there is a significant monotonic correlated relationship between the CCQEV and the cutter rotating speed. Moreover, the monotonic correlation coefficient is −0.014 < 0, so there is a significant negative monotonic correlated relationship between the CCQEV and the cutter rotating speed, that is, the greater the cutter rotating speed is, the smaller CCQEV will be, the better the SCQ will be. Therefore, the cutter rotating speed should be increased to improve the SCQ.

According to Figure 20, when the cutter rotating speed was 700 r/min, the CCQEV was the smallest, the SCQ was the best. When the cutter rotating speed was 550 r/min, the CCQEV was the greatest, the SCQ was the poorest.

Single-factor variance analysis results with the cutter rotating speed as the independent variable obtained through SPSS is shown in Table 25.

Table 25.

Single-factor variance analysis results with the cutter rotating speed as the independent variable.

Experimental index	The axial cutter vibration displacement					The x-directional cutting force					The y-directional cutting force					The z-directional cutting force					The CCQEV
Source	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient
Inter-group	39.466	11	3.588	108.757	0.000	244,532.067	11	22,230.188	4.574	0.001	934,882.281	11	84,989.298	4.342	0.001	628,898.261	11	57,172.569	10.044	0.000	0.276	11	0.025	0.159	0.049
Intra-group	0.792	24	0.033			116,652.457	24	4860.519			469,822.212	24	19,575.926			136,610.341	24	5692.098			3.801	24	0.158
Total value	40.258	35				361,184.524	35				1,404,704.493	35				765,508.602	35				4.077	35

According to Table 25, significance coefficients are smaller than 0.05, so the cutter rotating speed has significant effects on the axial cutter vibration displacement, three-directional cutting forces and the CCQEV. Therefore, the cutter rotating speed has significant effects on the axial cutter vibration, three-directional cutting forces and the SCQ.

Analysis on effects of the sugarcane harvester moving speed on the axial cutter vibration, three-directional cutting forces and the SCQ

Curves of the axial cutter vibration displacement, three-directional cutting forces and the CCQEV changing with the sugarcane transporting speed in the sugarcane cutting process drawn through Excel are shown in Figures 21 to 23.

Figure 21.

The curve of the axial cutter vibration displacement changing with the sugarcane transporting speed.

Figure 22.

Curves of three-directional cutting forces changing with the sugarcane transporting speed.

Figure 23.

The curve of the CCQEV changing with the sugarcane transporting speed.

According to Figure 21, the greater the sugarcane transporting speed is, the smaller the axial cutter vibration displacement is. Their monotonic correlation analysis result obtained through SPSS is shown in Table 26.

Table 26.

The monotonic correlation analysis result of the axial cutter vibration displacement and the sugarcane transporting speed.

Monotonic correlation coefficient	Monotonic correlation significance coefficient
−0.893	0.000

According to Table 26, the monotonic correlation significance coefficient is 0, so there is a significant monotonic correlated relationship between the axial cutter vibration displacement and the sugarcane transporting speed. Moreover, the monotonic correlation coefficient is −0.893 < 0, so there is a significant negative monotonic correlated relationship between the axial cutter vibration displacement and the sugarcane transporting speed, verifying the discovery obtained through Figure 21. Therefore, the greater the sugarcane harvester moving speed is, the weaker the axial cutter vibration in the sugarcane cutting process will be.

Moreover, according to Figure 21, the axial cutter vibration displacement decreased firstly and then it increased along with the sugarcane transporting speed increasing. When the sugarcane transporting speed was 0.5 m/s, the axial cutter vibration displacement reached a peak value. Then the axial cutter vibration displacement decreased and increased again when the sugarcane transporting speed was 0.6 m/s. When the sugarcane transporting speed was 0.1 m/s, the axial cutter vibration displacement was the greatest. Therefore, when the sugarcane harvester moving speed is 0.1 m/s, the axial cutter vibration in the sugarcane cutting process is the most severe. When the sugarcane transporting speed was 0.6 m/s, the axial cutter vibration displacement was the smallest. Therefore, when the sugarcane harvester moving speed is 0.6 m/s, the axial cutter vibration in the sugarcane cutting process is the weakest.

According to Figure 22, the greater the sugarcane transporting speed is, the smaller three-directional cutting forces are. Their monotonic correlation analysis results obtained through SPSS are shown in Table 27.

Table 27.

Monotonic correlation analysis results of three-directional cutting forces and the sugarcane transporting speed.

Experimental index	The x-directional cutting force	The y-directional cutting force	The z-directional cutting force
Monotonic correlation coefficient	−0.688	−0.665	−0.867
Monotonic correlation significance coefficient	0.000	0.000	0.000

According to Table 27, monotonic correlation significance coefficients are all 0, so there are significant monotonic correlated relationships between three-directional cutting forces and the sugarcane transporting speed. Moreover, monotonic correlation coefficients are −0.688, −0.665 and −0.867 < 0, so there are significant negative monotonic correlated relationships between three-directional cutting forces and the sugarcane transporting speed, that is, the greater the sugarcane transporting speed is, the smaller three-directional cutting forces will be, verifying the discovery obtained through Figure 22. Therefore, the greater the sugarcane harvester moving speed is, the smaller three-directional cutting forces will be.

According to Figure 23, the greater the sugarcane transporting speed is, the smaller the CCQEV is. Their monotonic correlation analysis result obtained through SPSS is shown in Table 28.

Table 28.

The monotonic correlation analysis result of the CCQEV and the sugarcane transporting speed.

Monotonic correlation coefficient	Monotonic correlation significance coefficient
−0.662	0.000

According to Table 28, the monotonic correlation significance is 0, so there is a significant monotonic correlated relationship between the CCQEV and the sugarcane transporting speed. Moreover, the monotonic correlation coefficient is −0.662 < 0, so there is a significant negative monotonic correlated relationship between the CCQEV and the sugarcane transporting speed, that is, the greater the sugarcane transporting speed is, the smaller CCQEV will be, the better the SCQ will be. Therefore, the greater the sugarcane harvester moving speed is, the better the SCQ will be, so the sugarcane harvester moving speed should be increased to improve the SCQ.

According to Figure 23, when the sugarcane transporting speed, the CCQEV was the smallest, the SCQ was the best. Therefore, when the sugarcane harvester moving speed is 0.6 m/s, the SCQ is the best. When the sugarcane transporting speed was 0.1 m/s, the CCQEV was the greatest, the SCQ was the poorest. Therefore, when the sugarcane harvester moving speed is 0.1 m/s, the SCQ is the poorest.

Single-factor variance analysis results with the sugarcane transporting speed as the independent variable obtained through SPSS is shown in Table 29.

Table 29.

Single-factor variance analysis results with the sugarcane transporting speed as the independent variable.

Experimental index	The axial cutter vibration displacement					The x-directional cutting force					The y-directional cutting force					The z-directional cutting force					The CCQEV
Source	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient
Inter-group	23.265	7	3.324	123.174	0.000	144,558.591	7	20,651.227	3.060	0.030	552,587.222	7	78,941.032	3.636	0.015	370,760.430	7	52,965.776	12.010	0.000	0.161	7	0.023	1.424	0.043
Intra-group	0.432	16	0.027			107,987.836	16	6749.240			347,384.372	16	21,711.523			70,564.646	16	4410.290			0.259	16	0.016
Total value	23.696	23				252,546.428	23				899,971.594	23				441,325.076	23				0.420	23

According to Table 29, significance coefficients are smaller than 0.05, so the sugarcane transporting speed has significant effects on the axial cutter vibration displacement, three-directional cutting forces and the CCQEV. Therefore, the sugarcane harvester moving speed has significant effects on the axial cutter vibration, three-directional cutting forces and the SCQ.

Analysis on effects of the cutter installing angle on the axial cutter vibration, three-directional cutting forces and the SCQ

Curves of the axial cutter vibration displacement, three-directional cutting forces and the CCQEV changing with the cutter installing angle in the sugarcane cutting process drawn through Excel are shown in Figures 24 to 26.

Figure 24.

The curve of the axial cutter vibration displacement changing with the cutter installing angle.

Figure 25.

Curves of three-directional cutting forces changing with the cutter installing angle.

Figure 26.

The curve of the CCQEV changing with the cutter installing angle.

According to Figure 24, when the cutter installing angle increased, the axial cutter vibration displacement decreased firstly and then increased when the cutter installing angle was 2°. When the cutter installing angle was 6°, the axial cutter vibration displacement reached the first peak value, also the maximum value. Then the axial cutter vibration displacement decreased and then increased when the cutter installing angle was 8°. When the cutter installing angle was 12°, the axial cutter vibration displacement reached the second peak value. When the cutter installing angle was 8°, the axial cutter vibration displacement was the smallest. Then the axial cutter vibration displacement decreased again. Therefore, when the cutter installing angle is 6°, the axial cutter vibration in the sugarcane cutting process is the most severe. When the cutter installing angle is 8°, the axial cutter vibration in the sugarcane cutting process is the weakest.

SPSS was used to obtain the monotonic correlation analysis result of the axial cutter vibration displacement and the cutter installing angle, as is shown in Table 30.

Table 30.

The monotonic correlation analysis result of the axial cutter vibration displacement and the cutter installing angle.

Monotonic correlation coefficient	Monotonic correlation significance coefficient
−0.181	0.000

According to Table 30, the monotonic correlation significance coefficient is 0, so there is a significant monotonic correlated relationship between the axial cutter vibration displacement and the cutter installing angle. Moreover, the monotonic correlation coefficient is −0.181 < 0, so there is a significant negative monotonic correlated relationship between the axial cutter vibration displacement and the cutter installing angle, that is, the greater the cutter installing angle is, the smaller the axial cutter vibration displacement will be. Therefore, the greater the cutter installing angle is, the weaker the axial cutter vibration in the sugarcane cutting process will be.

SPSS was used to obtain monotonic correlation analysis results of three-directional cutting forces and the cutter installing angle, as is shown in Table 31.

Table 31.

Monotonic correlation analysis results of three-directional cutting forces and the cutter installing angle.

Experimental index	The x-directional cutting force	The y-directional cutting force	The z-directional cutting force
Monotonic correlation coefficient	−0.154	−0.144	−0.194
Monotonic correlation significance coefficient	0.000	0.000	0.000

According to Table 31, monotonic correlation significance coefficients are all 0, so there are significant monotonic correlated relationships between three-directional cutting forces and the cutter installing angle. Moreover, monotonic correlation coefficients are −0.154, −0.144 and −0.194 < 0, so there are significant negative monotonic correlated relationships between three-directional cutting forces and the cutter installing angle, that is, the greater the cutter installing angle is, the smaller three-directional cutting forces will be.

SPSS was used to obtained the monotonic correlation analysis result of the CCQEV and the cutter installing angle, as is shown in Table 32.

Table 32.

The monotonic correlation analysis result of the CCQEV and the cutter installing angle.

Monotonic correlation coefficient	Monotonic correlation significance coefficient
−0.166	0.000

According to Table 32, the monotonic correlation significance coefficient is 0, so there is a significant monotonic correlated relationship between the CCQEV and the cutter installing angle. Moreover, the monotonic correlation coefficient is −0.166 < 0, so there is a significant negative monotonic correlated relationship between the CCQEV and the cutter installing angle, that is, the greater the cutter installing angle is, the smaller CCQEV will be, the better the SCQ will be. Therefore, the cutter installing angle should be increased to improve the SCQ.

According to Figure 26, when the cutter installing angle was 8°, the CCQEV was the smallest, the SCQ was the best. When the cutter installing angle was 6°, the CCQEV was the greatest, the SCQ was the poorest.

In conclusion, the best cutting parameters of sugarcane harvesters with the best SCQ are as follow: the cutter rotating speed is 700 r/min, the sugarcane harvester moving speed is 0.6 m/s and the cutter installing angle is 8°.

Single-factor variance analysis results with the cutter installing angle as the independent variable obtained through SPSS is shown in Table 33.

Table 33.

Single-factor variance analysis results with the cutter installing angle as the independent variable.

Experimental index	The axial cutter vibration displacement					The x-directional cutting force					The y-directional cutting force					The z-directional cutting force					The CCQEV
Source	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient	Quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient
Inter-group	17.127	10	1.713	78.128	0.000	106,469.987	10	10,646.999	1.955	0.041	406,990.367	10	40,699.037	2.323	0.048	273,071.685	10	27,307.169	7.673	0.000	0.119	10	0.012	1.096	0.046
Intra-group	0.482	22	0.022			119,810.773	22	5445.944			385,417.389	22	17,518.972			78,290.343	22	3558.652			0.238	22	0.011
Total value	17.610	32				226,280.760	32				792,407.756	32				351,362.028	32				0.357	32

According to Table 33, significance coefficients are smaller than 0.05, so the cutter installing angle has significant effects on the axial cutter vibration displacement, three-directional cutting forces and the CCQEV. Therefore, the cutter installing angle has significant effects on the axial cutter vibration, three-directional cutting forces and the SCQ.

Analysis on effects of the axial cutter vibration on three-directional cutting forces and the SCQ

According to Figures 12, 15 and 18, the axial cutter vibration displacement in the sugarcane cutting process is greater than that without cutting sugarcanes, showing the sugarcane cutting process increased the axial cutter vibration displacement, so the axial cutter vibration and the sugarcane cutting process may have effects on each other.

According to Figures 12, 13, 15, 16, 18, 19, 21, 22, 24 and 25, when wave crests of the axial cutter vibration displacement appear, wave crests of three-directional cutting forces also appear. Therefore, it is considered that peak values of the axial cutter vibration displacement made those of three-directional cutting forces appear. Moreover, curves of the axial cutter vibration displacement and three-directional cutting forces changing with the same experimental factor are highly similar and there exist same significant monotonic correlated relationships between these two experimental indexes and the same experimental factor. Therefore, the axial cutter vibration may have directly and highly significant positive monotonic correlated effects on three-directional cutting forces.

Curves of three-directional cutting forces changing with the axial cutter vibration displacement with different single factors drawn through Excel are shown in Figures 27 to 31.

Figure 27.

Fitting curves of three-directional cutting force changing with the axial cutter vibration displacement with the SSFE input frequency as the single factor.

Figure 28.

Fitting curves of three-directional cutting force changing with the axial cutter vibration displacement with the actuating engine input frequency as the single factor.

Figure 29.

Fitting curves of three-directional cutting force changing with the axial cutter vibration displacement with the cutter rotating speed as the single factor.

Figure 30.

Fitting curves of three-directional cutting force changing with the axial cutter vibration displacement with the sugarcane transporting speed as the single factor.

Figure 31.

Fitting curves of three-directional cutting force changing with the axial cutter vibration displacement with the cutter installing angle as the single factor.

According to Figures 27 to 31, no matter what is the single factor, determination coefficients of these fitting curves and fitting equations are all greater than 0.66, so they have high accuracies. There are obvious positive monotonic correlated relationships between three-directional cutting forces and the axial cutter vibration displacement, that is, the greater the axial cutter vibration displacement is, the greater three-directional cutting forces is in that the greater the axial cutter vibration displacement is, the greater the compressive frequency and the pressure generated by cutters acting on sugarcanes will be, causing three-directional cutting forces to increase. Their monotonic correlation analysis results obtained through SPSS are shown in Table 34.

Table 34.

Monotonic correlation analysis results of three-directional cutting forces and the axial cutter vibration displacement with different single factors.

Single factor	The SSFE input frequency			The actuating engine input frequency			The cutter rotating speed			The sugarcane transporting speed			The cutter installing angle
Cutting forces	x	y	z	x	y	z	x	y	z	x	y	z	x	y	z
Monotonic correlation coefficient	0.548	0.49	0.599	0.803	0.734	0.768	0.695	0.729	0.762	0.783	0.525	0.888	0.643	0.713	0.871
Monotonic correlation significance coefficient	0	0	0	0	0	0	0	0	0	0	0.008	0	0	0	0

According to Table 34, no matter what is the single factor, monotonic correlation significance coefficients are all smaller than 0.01, so there are significant monotonic correlated relationships between three-directional cutting forces and the axial cutter vibration displacement. Moreover, monotonic correlation coefficients are all greater than 0, so there are significant positive monotonic correlated relationships between three-directional cutting forces and the axial cutter vibration displacement, that is, the greater the axial cutter vibration displacement is, the greater three-directional cutting forces will be, verifying discoveries obtained above. Therefore, the more severe the axial cutter vibration in the sugarcane cutting process is, the greater three-directional cutting forces will be.

According to Figures 12, 14, 15, 17, 18, 20, 21, 23, 24 and 26, when wave crests of the axial cutter vibration displacement appear, wave crests of the CCQEV also appear. Therefore, it is considered that peak values of the axial cutter vibration displacement made those of the CCQEV appear, then making the SCQ poorer. Moreover, curves of the axial cutter vibration displacement and the CCQEV changing with the same experimental factor are highly similar and there exist same significant monotonic correlated relationships between these two experimental indexes and the same experimental factor. Therefore, the axial cutter vibration may have directly and highly significant negative monotonic correlated effects on the SCQ.

Curves of the CCQEV changing with the axial cutter vibration displacement with different single factors drawn through Excel are shown in Figures 32 to 36.

Figure 32.

The fitting curve of the CCQEV changing with the axial cutter vibration displacement with the SSFE input frequency as the single factor.

Figure 33.

The fitting curve of the CCQEV changing with the axial cutter vibration displacement with the actuating engine input frequency as the single factor.

Figure 34.

The fitting curve of the CCQEV changing with the axial cutter vibration displacement with the cutter rotating speed as the single factor.

Figure 35.

The fitting curve of the CCQEV changing with the axial cutter vibration displacement with the sugarcane transporting speed as the single factor.

Figure 36.

The fitting curve of the CCQEV changing with the axial cutter vibration displacement with the cutter installing angle as the single factor.

According to Figures 32 to 36, no matter what is the single factor, determination coefficients of these fitting curves and fitting equations are all greater than 0.65, so they have high accuracies. There are obvious positive monotonic correlated relationships between the axial cutter vibration displacement and the CCQEV, that is, the greater the axial cutter vibration displacement is, the greater the CCQEV is, the poorer the SCQ will be. Their monotonic correlation analysis results obtained through SPSS are shown in Table 35.

Table 35.

Monotonic c analysis results of the CCQEV and the axial cutter vibration displacement with different single factors.

Single factor	The SSFE input frequency	The actuating engine input frequency	The cutter rotating speed	The sugarcane transporting speed	The cutter installing angle
Coefficient
Monotonic correlation coefficient	0.028	0.368	0.472	0.744	0.876
Monotonic correlation significance coefficient	0.000	0.000	0.000	0.000	0.000

According to Table 35, no matter what is the single factor, monotonic correlation significance coefficients are all 0, so there are significant monotonic correlated relationships between the CCQEV and the axial cutter vibration displacement. Moreover, monotonic correlation coefficients are all greater than 0, so there are significant positive monotonic correlated relationships between the CCQEV and the axial cutter vibration displacement, that is, the greater the axial cutter vibration displacement is, the greater the CCQEV will be, the poorer the SCQ will be, verifying discoveries obtained above. Therefore, the more severe the axial cutter vibration in the sugarcane cutting process is, the poorer the SCQ will be, so it is further shown that low-stage natural frequencies of sugarcane harvesters should be improved to avoid the sympathetic vibration, then to weaken the axial cutter vibration in the sugarcane cutting process to improve the SCQ.

Analysis on effects of three-directional cutting forces on the SCQ

According to Figures 13, 14, 16, 17, 19, 20, 22, 23, 25 and 26, when wave crests of three-directional cutting forces appear, wave crests of the CCQEV also appear. Therefore, it is considered that peak values of three-directional cutting forces made peak values of the CCQEV appear, then making the SCQ poorer, so three-directional cutting forces may have negative monotonic correlated effects on the SCQ.

Curves of the CCQEV changing with three-directional cutting forces with different single factors drawn through Excel are shown in Figures 37 to 41.

Figure 37.

Fitting curves of the CCQEV changing with three-directional cutting forces with the SSFE input frequency as the single factor.

Figure 38.

Fitting curves of the CCQEV changing with three-directional cutting forces with the actuating engine input frequency as the single factor.

Figure 39.

Fitting curves of the CCQEV changing with three-directional cutting forces with the cutter rotating speed as the single factor.

Figure 40.

Fitting curves of the CCQEV changing with three-directional cutting forces with the sugarcane transporting speed as the single factor.

Figure 41.

Fitting curves of the CCQEV changing with three-directional cutting forces with the cutter installing angle as the single factor.

According to Figures 37 to 41, no matter what is the single factor, determination coefficients of these fitting curves and fitting equations are all greater than 0.6, so they have high accuracies. There are obvious positive monotonic correlated relationships between three-directional cutting forces and the CCQEV, that is, the greater three-directional cutting forces are, the greater the CCQEV is, the poorer the SCQ will be, their monotonic correlation analysis results obtained through SPSS are shown in Table 36.

Table 36.

Monotonic correlation analysis results of the CCQEV and three-directional cutting forces with different single factors.

Single factor	The SSFE input frequency			The actuating engine input frequency			The cutter rotating speed			The sugarcane transporting speed			The cutter installing angle
Cutting forces	x	y	z	x	y	z	x	y	z	x	y	z	x	y	z
Monotonic correlation coefficient	0.123	0.017	0.111	0.370	0.329	0.336	0.513	0.515	0.515	0.619	0.465	0.628	0.876	0.876	0.876
Monotonic correlation significance coefficient	0.000	0.000	0.000	0.001	0.003	0.002	0.001	0.001	0.001	0.001	0.022	0.001	0.000	0.000	0.000

According to Table 36, no matter what is the single factor, monotonic correlation significance coefficients are all smaller than 0.05, so there are significant monotonic correlated relationships between the CCQEV and three-directional cutting forces. Moreover, monotonic correlation coefficients are all greater than 0, so there are significant positive monotonic correlated relationships between the CCQEV and three-directional cutting forces, that is, the greater three-directional cutting forces are, the greater the CCQEV will be, the poorer the SCQ will be, verifying discoveries obtained above.

Analysis on orthogonal experiment results

Analysis on the result of the orthogonal experiment measuring the axial cutter vibration displacement without cutting sugarcanes

SPSS was used to obtain the multi-factor variance analysis result of this orthogonal experiment, as is shown in Table 37.

Table 37.

The multi-factor variance analysis result of this orthogonal experiment.

The dependent variable: The axial cutter vibration displacement without cutting sugarcanes
Source	III-type quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient
The corrected model	21.030	12	1.753	86.550	0.000
The intercept	208.735	1	208.735	10,308.425	0.000
The SSFE input frequency, A	20.261	4	5.065	250.147	0.000
The actuating engine input frequency, B	0.191	4	0.048	2.359	0.112
The cutter rotating speed, C	0.579	4	0.145	7.143	0.003
Interaction, A*B	2.250	16	0.141	15.073	0.000
Interaction A*C	1.162	16	0.073	7.785	0.000
Interaction, B*C	60.778	16	3.799	407.067	0.000
Error	0.243	12	0.020
Total value	230.008	25
Corrected total value	21.273	24

According to Table 37, except that of the actuating engine input frequency, significance coefficients of the other two experimental factors and interactions are all smaller than 0.01, so they all have significant effects on the axial cutter vibration displacement without cutting sugarcanes. Therefore, except the engine excitation, the sugarcane field excitation, the cutter rotating speed and interactions all have significant effects on the axial no-load cutter vibration.

Moreover, significance levels of effects of these three experimental factors and their interactions on the axial cutter vibration displacement without cutting sugarcanes from high to low are A > C > B > B*C > A*B > A*C according to F values. Therefore, significance levels of effects on the axial no-load cutter vibration from high to low are as follow, the sugarcane field excitation, the cutter rotating speed, the engine excitation, interaction between the engine excitation and the cutter rotating speed, interaction between the sugarcane field excitation and the engine excitation, interaction between the sugarcane field excitation and the cutter rotating speed.

Without cutting sugarcanes, the significance level of the effect of the SSFE input frequency on the axial cutter vibration displacement is the highest, so it weakened effects of the actuating engine input frequency, the cutter rotating speed and interactions including the SSFE input frequency on the axial cutter vibration displacement, so among all interactions, significance levels of effects of interactions including the SSFE input frequency on the axial cutter vibration displacement are lower. Therefore, the effect of the sugarcane field excitation weakens effects of the engine excitation, the cutter rotating speed and interactions including the sugarcane field excitation on the axial no-load cutter vibration.

Besides, without cutting sugarcanes, the significance level of the effect of the actuating engine input frequency on the axial cutter vibration displacement is the lowest, so it made effects of the SSFE input frequency, the cutter rotating speed and interactions including the actuating engine input frequency on the axial cutter vibration displacement apparent, so among all interactions, significance levels of effects of interactions including the actuating engine input frequency on the axial cutter vibration displacement are higher. Therefore, the effect of the engine excitation on the axial no-load cutter vibration makes effects of the sugarcane field excitation, the cutter rotating speed and interactions including the engine excitation apparent.

Moreover, without cutting sugarcanes, the closer significance coefficients of two experimental factors are, the higher the significance level of the effect of interaction between these two experimental factors on the axial cutter vibration displacement is, so among all interactions, the significance level of the effect of interaction between the actuating engine input frequency and the cutter rotating speed on the axial cutter vibration displacement is the highest and the significance level of the effect of interaction between input frequencies of the SSFE and the actuating engine is higher than that of interaction between the SSFE input frequency and the cutter rotating speed on the axial cutter vibration displacement.

The fitting equation of the axial cutter vibration displacement without cutting sugarcanes changing with these three experimental factors and their interactions obtained through multi-factor linear regression analysis of SPSS is shown in equation (9).

\begin{matrix} y = 0.739 + 0.182 A + 0.032 B - 0.001 C - 0.002 AB \\ - 0.000003726 AC - 0.00001949 BC \end{matrix}

(9)

Where: $y$ –the axial cutter vibration displacement without cutting sugarcanes; A, B, C–the SSFE input frequency, the actuating engine input frequency and the cutter rotating speed; AB, AC, BC–interactions.

According to equation (9), surface diagrams of the axial cutter vibration displacement without cutting sugarcanes changing with interactions drawn through MATLAB are shown in Figures 42 to 44.

Figure 42.

The surface diagram of the axial cutter vibration displacement without cutting sugarcanes changing with interaction between input frequencies of the SSFE and the actuating engine.

Figure 43.

The surface diagram of the axial cutter vibration displacement without cutting sugarcanes changing with interaction between the SSFE input frequency and the cutter rotating speed.

Figure 44.

The surface diagram of the axial cutter vibration displacement without cutting sugarcanes changing with interaction between the actuating engine input frequency and the cutter rotating speed.

According to Figures 42 to 44, without cutting sugarcanes, in two interactions including the SSFE input frequency whose significance coefficient is the greatest, it was the SSFE input frequency which mainly affected the axial cutter vibration displacement, that is, no matter how the other two experimental factors changed, the greater the SSFE input frequency was, the greater the axial cutter vibration displacement was. Therefore, in interactions including the sugarcane field excitation, it is the sugarcane field excitation which mainly affected the axial no-load cutter vibration, so no matter how the engine excitation and the cutter rotating speed change, the more obvious the sugarcane field excitation is, that is, the more bumpy sugarcane fields are, the more severe the axial no-load cutter vibration will be. In interaction between the actuating engine input frequency and the cutter rotating speed whose significance coefficients are close, the actuating engine input frequency and the cutter rotating speed affected the axial cutter vibration displacement together, that is, the greater the actuating engine input frequency was and the smaller the cutter rotating speed was at the same time, the greater the axial cutter vibration displacement was. Therefore, in interaction between the engine excitation and the cutter rotating speed, the engine excitation and the cutter rotating speed affected the axial no-load cutter vibration together.

Analysis on the result of the orthogonal experiment cutting sugarcanes under simulated complicated excitations

SPSS was used to obtain multi-factor variance analysis results of this orthogonal experiment, as is shown in Tables 38 to 40.

Table 38.

The multi-factor variance analysis result of this orthogonal experiment with the axial cutter vibration displacement in the sugarcane cutting process as the dependent variable.

The dependent variable: The axial cutter vibration displacement in the sugarcane cutting process
Source	III-type quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient
The corrected model	86.808	20	4.340	137.672	0.000
The intercept	918.117	1	918.117	29,121.661	0.000
The SSFE input frequency, A	82.420	4	20.605	653.567	0.000
The actuating engine input frequency, B	0.859	4	0.215	6.811	0.045
The cutter rotating speed, C	2.581	4	0.645	20.465	0.006
The sugarcane transporting speed, D	0.421	4	0.105	3.336	0.135
The cutter installing angle, E	0.527	4	0.132	4.181	0.097
Interaction, A*B	10.965	16	0.685	7.473	0.000
Interaction, A*C	5.799	16	0.362	3.952	0.000
Interaction, B*C	250.482	16	15.655	170.715	0.000
Interaction, A*D	12.280	16	0.767	8.369	0.000
Interaction, A*E	11.960	16	0.747	8.151	0.000
Interaction, B*D	256.962	16	16.060	175.132	0.000
Interaction, B*E	256.643	16	16.040	174.914	0.000
Interaction, C*D	251.797	16	15.737	171.611	0.000
Interaction, C*E	251.477	16	15.717	171.393	0.000
Interaction, D*E	257.957	16	16.122	175.810	0.000
Error	0.126	4	0.032
Total value	86.934	24
Corrected total value	21.273	24

Table 39.

The multi-factor variance analysis result of this orthogonal experiment with three-directional cutting forces as dependent variables.

Dependent variables: Three-directional cutting forces
Source	III-type quadratic sum			Freedom degree			Mean square value			F value			Significance coefficient
	x	y	z	x	y	z	x	y	z	x	y	z	x	y	z
Corrected model	542,855.570	2,056,101.398	1,378,800.186	20	20	20	27,142.778	102,805.070	68,940.009	142.314	143.176	134.841	0.000	0.000	0.000
Intercept	5,724,019.473	21,840,082.171	14,602,573.378	1	1	1	5,724,019.473	21,840,082.171	14,602,573.378	30,011.916	30,416.568	28,561.464	0.000	0.000	0.000
A	515,272.948	1,950,364.892	1,309,321.173	4	4	4	128,818.237	487,591.223	327,330.293	675.414	679.066	640.232	0.000	0.000	0.000
B	5023.506	19,275.673	14,175.530	4	4	4	1255.877	4818.918	3543.883	6.585	6.711	6.932	0.048	0.046	0.044
C	16,605.488	64,156.305	40,261.705	4	4	4	4151.372	16,039.076	10,065.426	21.766	22.338	19.687	0.006	0.005	0.007
D	2753.647	10,503.753	6500.398	4	4	4	688.412	2625.938	1625.099	3.609	3.657	3.179	0.121	0.119	0.144
E	3199.980	11,800.775	8541.381	4	4	4	799.995	2950.194	2135.345	4.194	4.109	4.177	0.097	0.1	0.098
A*B	69,966.044	267,998.887	172,045.671	16	16	16	4372.878	16,749.930	10,752.854	0.490	0.638	2.896	0.941	0.837	0.002
A*C	35,220.098	133,356.993	93,787.146	16	16	16	2201.256	8334.812	5861.697	0.247	0.317	1.579	0.998	0.993	0.110
B*C	1,565,968.423	5,926,624.649	3,979,224.074	16	16	16	97,873.026	370,414.041	248,701.505	10.961	14.103	66.989	0.000	0.000	0.000
A*D	76,775.622	294,314.648	195,071.069	16	16	16	4798.476	18,394.665	12,191.942	0.537	0.700	3.284	0.913	0.78	0.001
A*E	75,436.624	290,423.580	188,948.118	16	16	16	4714.789	18,151.474	11,809.257	0.528	0.691	3.181	0.919	0.789	0.001
B*D	1,607,523.948	6,087,582.304	4,080,507.996	16	16	16	100,470.247	380,473.894	255,031.75	11.251	14.486	68.694	0.000	0.000	0.000
B*E	1,606,184.949	6,083,691.237	4,074,385.046	16	16	16	100,386.559	380,230.702	254,649.065	11.242	14.477	68.591	0.000	0.000	0.000
C*D	1,572,778.001	5,952,940.410	4,002,249.472	16	16	16	98,298.625	372,058.776	250,140.592	11.008	14.165	67.377	0.000	0.000	0.000
C*E	1,571,439.003	5,949,049.343	3,996,126.521	16	16	16	98,214.938	371,815.584	249,757.908	10.999	14.156	67.274	0.000	0.000	0.000
D*E	1,612,994.527	6,110,006.998	4,097,410.444	16	16	16	100,812.158	381,875.437	256,088.153	11.290	14.539	68.979	0.000	0.000	0.000
Error	762.900	2872.130	2045.073	4	4	4	190.725	718.032	511.268
Total value	6,267,637.942	23,899,055.698	15,983,418.637	25	25	25
Corrected total value	543,618.469	2,058,973.527	1,380,845.26	24	24	24

Table 40.

The multi-factor variance analysis result of this orthogonal experiment with the CCQEV as the dependent variable.

The dependent variable: The CCQEV
Source	III-type quadratic sum	Freedom degree	Mean square value	F value	Significance coefficient
The corrected model	0.590	20	0.030	109.749	0.000
The intercept	6.253	1	6.253	23,245.193	0.000
The SSFE input frequency, A	0.561	4	0.140	521.624	0.000
The actuating engine input frequency, B	0.008	4	0.002	7.826	0.036
The cutter rotating speed, C	0.014	4	0.004	13.062	0.014
The sugarcane transporting speed, D	0.002	4	0.001	1.947	0.267
The cutter installing angle, E	0.005	4	0.001	4.287	0.094
Interaction, A*B	0.066	16	0.004	0.024	1.000
Interaction, A*C	0.049	16	0.003	0.018	1.000
Interaction, B*C	1.707	16	0.107	0.623	0.850
Interaction, A*D	0.084	16	0.005	0.031	1.000
Interaction, A*E	0.084	16	0.005	0.031	1.000
Interaction, B*D	1.743	16	0.109	0.636	0.839
Interaction, B*E	1.736	16	0.108	0.634	0.841
Interaction, C*D	1.726	16	0.108	0.630	0.844
Interaction, C*E	1.719	16	0.107	0.627	0.846
Interaction, D*E	1.755	16	0.110	0.640	0.835
Error	0.001	4	0.000
Total value	6.845	25
Corrected total value	0.592	24

According to Tables 38 to 40, no matter what is the dependent variable, except those of the sugarcane transporting speed, the cutter installing angle and all interactions, significance coefficients of the other three experimental factors are all smaller than 0.05, so these three experimental factors all have significant effects on the axial cutter vibration displacement, three-directional cutting forces and the CCQEV. Therefore, except the sugarcane harvester moving speed, the cutter installing angle and all interactions, the sugarcane field excitation, the cutter rotating speed and the engine excitation have significant effects on the axial cutter vibration, three-directional cutting forces and the SCQ.

Moreover, significance levels of effects of these five experimental factors and their interactions in the sugarcane cutting process from high to low are A > C > B > E > D > D*E > B*D > B*E > C*D > C*E > B*C > A*D > A*E > A*B > A*C according to F values. Therefore, significance levels of effects in the sugarcane cutting process form high to low are as follow, the sugarcane field excitation, the cutter rotating speed, the engine excitation, the cutter installing, the sugarcane harvester moving speed.

In the sugarcane cutting process, the significance level of the effect of the SSFE input frequency on the axial cutter vibration displacement is the highest, so it weakened effects of the other four experimental factors and interactions including the SSFE input frequency on the axial cutter vibration displacement, so among all interactions, significance levels of effects of interactions including the SSFE input frequency on the axial cutter vibration displacement are lower. Therefore, the effect of the sugarcane field excitation weakens effects of the engine excitation, the cutter rotating speed, the sugarcane harvester moving speed, the cutter installing angle and interactions including the sugarcane field excitation on the axial cutter vibration.

Besides, in the sugarcane cutting process, what is similar to interactions in the orthogonal experiment measuring the axial cutter vibration displacement without cutting sugarcanes, the significance level of the effect of the sugarcane transporting speed is the lowest, so it made effects of the other four experimental factors apparent, so among all interactions, significance levels of effects of interactions including the sugarcane transporting speed are higher. Therefore, the effect of the sugarcane harvester moving speed makes effects of the sugarcane field excitation, the engine excitation, the cutter rotating speed, the cutter installing angle and interactions including the sugarcane harvester moving speed apparent.

Moreover, the closer significance coefficients of two experimental factors are, the more significant the effect of interaction between these two experimental factors is, so among all interactions, the significance level of the effect of interaction between the sugarcane transporting speed and the cutter installing angle is the highest while the significance level of the effect of interaction between the SSFE input frequency and the cutter rotating speed is the lowest. Therefore, the significance level of the effect of interaction between the sugarcane harvester moving speed and the cutter installing angle is the highest while the significance level of the effect of interaction between the sugarcane field excitation and the cutter rotating speed is the lowest.

On the other hand, in the sugarcane cutting process, according to Tables 30 to 32, when the axial cutter vibration displacement is the dependent variable, significance coefficients of all interactions are 0, so all interactions have significant effects on the axial cutter vibration displacement. Therefore, all interactions have significant effects on the axial cutter vibration. When the z-directional cutting force is the dependent variable, except interaction between the SSFE input frequency and the cutter rotating speed, significance coefficients of other interactions are all 0, so the other nine interactions all have significant effects on the z-directional cutting force. Therefore, except interaction between the sugarcane field excitation and the cutter rotating speed doesn’t while other interactions have significant effects on the z-directional cutting force. When the x-directional and the y-directional cutting forces are dependent variables, except interactions including the SSFE input frequency, significance coefficients of the other interactions are all 0, so the other six interactions all have significant effects on the x-directional and the y-directional cutting forces. Therefore, except interactions including the sugarcane field excitation, other interactions have significant effects on the x-directional and the y-directional cutting forces. However, when the CCQEV is the dependent variable, significance coefficients of all interactions are greater than 0.05, so all interactions don’t have significant effects on the CCQEV, that is, all interactions don’t have significant effects on the SCQ.

Fitting equations of the axial cutter vibration displacement, three-directional cutting forces and the CCQEV changing with these five experimental factors and their 10 interactions obtained through multi-factor linear regression analysis of SPSS are shown in equations (10) to (14).

\begin{matrix} y_{1} = 1.022 + 0.37 A - 0.38 B + 0.015 C + 3.999 D \\ - 0.054 E - 0.009 AB - 0.00002644 AC + 0.488 AD \\ - 0.01 AE + 0.532 BD + 0.02 BE - 0.026 CD - 0.708 DE \end{matrix}

(10)

\begin{matrix} y_{2} = 59.121 + 29.426 A - 29.063 B + 1.156 C + 318.561 D \\ - 3.504 E - 0.73 AB - 0.002 AC - 0.012 BC + 38.283 AD \\ - 0.753 AE + 41.629 BD + 1.583 BE - 2.017 CD \\ + 0.018 CE - 55.76 DE \end{matrix}

(11)

\begin{matrix} y_{3} = 107.738 + 57.613 A - 56.649 B + 2.269 C - 647.363 D \\ - 7.3 E - 1.411 AB - 0.006 AC - 0.024 BC + 75.151 AD \\ - 1.482 AE + 80.251 BD + 3.116 BE - 3.933 CD \\ + 0.036 CE - 109.458 DE \end{matrix}

(12)

\begin{matrix} y_{4} = 149.544 + 46.357 A - 48.793 B + 1.836 C + 500.592 D \\ - 7.438 E - 1.17 AB - 0.003 AC - 0.019 BC + 61.676 AD \\ - 1.212 AE + 67.527 BD + 2.602 BE - 3.254 CD \\ + 0.029 CE - 89.339 DE \end{matrix}

(13)

\begin{matrix} y_{5} = 0.233 + 0.029 A - 0.038 B + 0.001 C + 0.285 D \\ - 0.009 E - 0.001 AB + 0.0000009887 AC - 0.00001004 BC \\ + 0.041 AD - 0.001 AE + 0.048 BD + 0.002 BE - 0.002 CD \\ + 0.00001934 CE - 0.059 DE \end{matrix}

(14)

Where: $y_{1}, y_{2}, y_{3}, y_{4}, y_{5}$ –the axial cutter vibration displacement, the x-directional cutting force, the y-directional cutting force, the z-directional cutting force and the CCQEV; A, B, C, D, E, –the SSFE input frequency, the actuating engine input frequency, the cutter rotating speed, the sugarcane transporting speed and the cutter installing angle; Rest symbols–ten interactions.

According to equations (10) to (14), surface diagrams of the axial cutter vibration displacement, three-directional cutting forces and the CCQEV changing with interactions whose significance coefficients are smaller than 0.05, that is, those with significant effects in the sugarcane cutting process drawn through MATLAB are shown in Figures 45 to 75.

Figure 45.

The surface diagram of the axial cutter vibration displacement changing with interaction between input frequencies of the SSFE and the actuating engine.

Figure 46.

The surface diagram of the axial cutter vibration displacement changing with interaction between the SSFE input frequency and the cutter rotating speed.

Figure 47.

The surface diagram of the axial cutter vibration displacement changing with interaction between the actuating engine input frequency and the cutter rotating speed.

Figure 48.

The surface diagram of the axial cutter vibration displacement changing with interaction between the SSFE input frequency and the sugarcane transporting speed.

Figure 49.

The surface diagram of the axial cutter vibration displacement changing with interaction between the SSFE input frequency and the cutter installing angle.

Figure 50.

The surface diagram of the axial cutter vibration displacement changing with interaction between the actuating engine input frequency and the cutter installing angle.

Figure 51.

The surface diagram of the axial cutter vibration displacement changing with interaction between the actuating engine input frequency and the sugarcane transporting speed.

Figure 52.

The surface diagram of the axial cutter vibration displacement changing with interaction between the cutter rotating speed and the sugarcane transporting speed.

Figure 53.

The surface diagram of the axial cutter vibration displacement changing with interaction between the cutter rotating speed and the cutter installing angle.

Figure 54.

The surface diagram of the axial cutter vibration displacement changing with interaction between the sugarcane transporting speed and the cutter installing angle.

Figure 55.

The surface diagram of the x-directional cutting force changing with interaction between the actuating engine input frequency and the cutter rotating speed.

Figure 56.

The surface diagram of the x-directional cutting force changing with interaction between the actuating engine input frequency and the sugarcane transporting speed.

Figure 57.

The surface diagram of the x-directional cutting force changing with interaction between the actuating engine input frequency and the cutter installing angle.

Figure 58.

The surface diagram of the x-directional cutting force changing with interaction between the cutter rotating speed and the sugarcane transporting speed.

Figure 59.

The surface diagram of the x-directional cutting force changing with interaction between the cutter rotating speed and the cutter installing angle.

Figure 60.

The surface diagram of the x-directional cutting force changing with interaction between the sugarcane transporting speed and the cutter installing angle.

Figure 61.

The surface diagram of the y-directional cutting force changing with interaction between the actuating engine input frequency and the cutter rotating speed.

Figure 62.

The surface diagram of the y-directional cutting force changing with interaction between the actuating engine input frequency and the sugarcane transporting speed.

Figure 63.

The surface diagram of the y-directional cutting force changing with interaction between the actuating engine input frequency and the cutter installing angle.

Figure 64.

The surface diagram of the y-directional cutting force changing with interaction between the cutter rotating speed and the sugarcane transporting speed.

Figure 65.

The surface diagram of the y-directional cutting force changing with interaction between the cutter rotating speed and the cutter installing angle.

Figure 66.

The surface diagram of the y-directional cutting force changing with interaction between the sugarcane transporting speed and the cutter installing angle.

Figure 67.

The surface diagram of the z-directional cutting force changing with interaction between input frequencies of the SSFE and the actuating engine.

Figure 68.

The surface diagram of the z-directional cutting force changing with interaction between the actuating engine input frequency and the cutter rotating speed.

Figure 69.

The surface diagram of the z-directional cutting force changing with interaction between the SSFE input frequency and the sugarcane transporting speed.

Figure 70.

The surface diagram of the z-directional cutting force changing with interaction between the SSFE input frequency and the cutter installing angle.

Figure 71.

The surface diagram of the z-directional cutting force changing with interaction between the actuating engine input frequency and the sugarcane transporting speed.

Figure 72.

The surface diagram of the z-directional cutting force changing with interaction between the actuating engine input frequency and the cutter installing angle.

Figure 73.

The surface diagram of the z-directional cutting force changing with interaction between the cutter rotating speed and the sugarcane transporting speed.

Figure 74.

The surface diagram of the z-directional cutting force changing with interaction between the cutter rotating speed and the cutter installing angle.

Figure 75.

The surface diagram of the z-directional cutting force changing with interaction between the sugarcane transporting speed and the cutter installing angle.

According to Figures 45 to 75, in these interactions, it was usually the factor with the greater significance coefficient which mainly affected these five dependent variables while in interaction between the actuating engine input frequency and the cutter rotating speed and that between the sugarcane transporting speed and the cutter installing angle, it was the actuating engine input frequency and the sugarcane transporting speed with smaller significance coefficients which mainly affected these five dependent variables. When input frequencies of the SSFE and the actuating engine mainly affected these five dependent variables in interactions, the greater input frequencies of the SSFE and the actuating engine are, the greater these five dependent variables is while the greater the sugarcane transporting speed is, the smaller these five dependent variables is when the sugarcane transporting speed mainly affected these five dependent variables in interactions.

Analysis on the sugarcane cutting mechanism

A three-directional cutting force signal collected through the force-measuring system is shown in Figure 76. There are two wave crests in Figure 76, that is, the sugarcane was cut by the cutters twice. According to what were captured by the high-speed camera, the sugarcane was cut off after being cut twice by the cutters, which is shown in Figure 77. These two cut-in points were different, that is, there is a height difference between these two cut-in points. Therefore, in the sugarcane cutting process of sugarcane harvesters, a sugarcane is cut off in more than one time of cutting. When the sugarcane was cut for the second time, the cutters pressed the sugarcane and the axial cutter vibration made the sugarcane broken. Therefore, the axial cutter vibration directly affects the SCQ, further verifying discoveries obtained above.

Figure 76.

A three-directional cutting force signal.

Figure 77.

A high-speed photograph in the sugarcane cutting process.

Force analysis of a sugarcane cut by a blade simplified as a planar problem is shown in Figure 78. The x axis is along the sugarcane harvester moving velocity with the positive direction pointing to the back of the sugarcane harvester. The positive direction of the z axis is the upward vertical direction, that is, along the cutter axis. The supporting force generated by the ground acting on the sugarcane and gravities are not considered. Forces and motions along the y axis are not considered, either.

Figure 78.

The force diagram of a sugarcane: (a) the effect of the upward axial blade vibration on the sugarcane and (b) the effect of the downward axial blade vibration on the sugarcane.

According to Figure 78(a) and (b), when an upward vibration or a downward vibration of the cutter along the cutter axis appears, making an upward vibration or a downward vibration of blades along the same direction also appear, the blade will be in contact with the sugarcane and then the blade will generate an upward positive pressure, $F_{z_{1}}$ and a downward positive pressure, $F_{z_{2}}$ acting on the sugarcane at the contact point, O. $F_{z_{1}}$ and $F_{z_{2}}$ are vertical to the wedge surface of the blade. Then a downward friction force opposite to the blade vibration direction will be generated by the sugarcane acting on the blade at the contact point when the upward cutter vibration appears. An upward friction force opposite to the blade vibration direction will be generated by the sugarcane acting on the blade at the contact point when the downward cutter vibration appears. An upward reaction force, $f_{1}$ will be generated by the blade acting on the sugarcane at the contact point when the upward cutter vibration appears. A downward reaction force, $f_{2}$ will be generated by the sugarcane acting on the blade at the contact point when the downward cutter vibration appears. $F_{z_{1}}$ , $F_{z_{2}}$ , $f_{1}$ and $f_{2}$ are along the same action line. The cutter will also generate a compression, $F_{x}$ along the x axis acting on the sugarcane at the contact point because of the sugarcane harvester moving speed, $v_{x}$ .When stresses generated by $F_{x}$ are over the lateral bending strength of the sugarcane, axial sugarcane cracks will appear and the sugarcane ratoon may be broken.

$F_{z_{1}}$ and $F_{z_{2}}$ can be decomposed into the horizontal cutting force, $F_{0}$ and the vertical compression, N. The relationship between these two component forces is shown in equation (15).

N = \frac{F_{0}}{\tan φ}

(15)

$F_{0}$ is calculated through the experience Equation (16).¹⁵

F_{0} = \frac{D}{2} θ + S v_{x} - ξ φ + C

(16)

Where: $v_{x}$ –the sugarcane harvester moving speed; D–the diameter of the sugarcane; S –the cut-in depth; $θ$ –the cutter installing angle; $φ$ –the cutting edge angle; $ξ$ , C–constants dependent on mechanics characteristics of the sugarcane.

According to equation (16), the greater D, $θ$ , S, $v_{x}$ and $C$ are, the greater $F_{0}$ will be while the greater $ξ$ and $φ$ are, the smaller $F_{0}$ will be.

According to the classical friction law, $f_{1}$ and $f_{2}$ are calculated through equation (17).

\begin{matrix} {\begin{matrix} f_{1} = (F_{z_{1}} + \frac{N_{1}}{\cos θ}) μ . . . . . . . . . . . . . . . . . . . . (a) \\ f_{2} = (F_{z_{2}} + \frac{N_{2}}{\cos θ}) μ . . . . . . . . . . . . . . . . . . . . (b) \end{matrix} \end{matrix}

(17)

Where: $F_{z_{1}}$ , $F_{z_{2}}$ –the upward and the downward positive pressures generated by the blade acting on the sugarcane at the contact point; $N_{1}$ , $N_{2}$ –vertical component compressions of $F_{z_{1}}$ and $F_{z_{2}}$ ; $μ$ –the friction coefficient between the blade and the sugarcane.

According to the second Newton Law, $F_{z_{1}}$ and $F_{z_{2}}$ are calculated through equation (18).

\begin{matrix} {\begin{matrix} F_{z_{1}} = m \frac{d^{2} z_{1}}{d t^{2}} . . . . . . . . . . . . . . . . . . . . (a) \\ F_{z_{2}} = m \frac{d^{2} z_{2}}{d t^{2}} . . . . . . . . . . . . . . . . . . . . (b) \end{matrix} \end{matrix}

(18)

Where: $z_{1}$ , $z_{2}$ –axial vibration displacements of the contact point of the blade and the sugarcane along action lines of $F_{z_{1}}$ and $F_{z_{2}}$ caused by the axial cutter vibration; $m$ –the mass of the sugarcane.

The axial cutter vibration can be regarded as a combination of some simple harmonic vibrations. Therefore, $z_{1}$ and $z_{2}$ can be calculated through a sine series written as equation (19).

z = \sum_{i = 1}^{n} A_{i} \sin (ω_{i} t + φ_{i})

(19)

Where: $A_{i}$ – an axial cutter vibration displacement of the sine series; $ω_{i}$ – an axial cutter vibration angular frequency; $φ_{i}$ – an initial phase.

Bending moments, $M_{z_{1}}$ and $M_{z_{2}}$ generated by $F_{z_{1}}$ and $F_{z_{2}}$ are calculated through equation (20).

{\begin{matrix} M_{z_{1}} = F_{z_{1}} \frac{S}{2 \cos θ} . . . . . . . . . . . . . . . . . . . . (a) \\ M_{z_{2}} = F_{z_{2}} \frac{S}{2 \cos θ} . . . . . . . . . . . . . . . . . . . . (b) \end{matrix}

(20)

The axial tensile strength of sugarcanes is greater than their lateral tensile strength. If a sugarcane is not cut off at once along the lateral direction, cracks will be extended along the axial direction. Therefore, if a sugarcane is cut for several times, when the upward cutter vibration appears, under the combined action of $M_{z_{1}}$ and the moment generated by $F_{x}$ , $M_{x}$ calculated through equation (21), the axial tearing cracks of the sugarcane will be easy to appear. When the downward cutter vibration appears, the sugarcane ratoon will be broken if $F_{z_{2}}$ is greater than the compressive strength of the sugarcane.

M_{x} = F_{x} \frac{S}{2 \sin θ}

(21)

According to equation (18), the greater $m$ and $z$ are, the greater $F_{z_{1}}$ and $F_{z_{2}}$ will be. According to equation (19), the greater $A_{i}$ and $ω_{i}$ are, the greater $z$ will be. Therefore, the greater $A_{i}$ , $ω_{i}$ and $m$ are, the greater $F_{z_{1}}$ and $F_{z_{2}}$ will be. According to equation (20), the greater $F_{z_{1}}$ , $F_{z_{2}}$ ,S and $θ$ are, the greater $M_{z_{1}}$ and $M_{z_{2}}$ will be. Therefore, the greater $A_{i}$ , $ω_{i}$ , $m$ ,S and $θ$ are, the greater $M_{z_{1}}$ and $M_{z_{2}}$ will be. That is, the greater $A_{i}$ and $ω_{i}$ are, the greater $F_{z_{1}}$ , $F_{z_{2}}$ , $M_{z_{1}}$ and $M_{z_{2}}$ will be, then the more easily axial sugarcane cracks will appear, the poorer the SCQ will be, matching the conclusion of research above^11,12 that the axial axial cutter vibration has a bad effects on the cutting quality of sugarcane harvesters, which was further verified through experiments. The greater the cutter installing angle is, the smaller $F_{z}$ and $M_{z}$ will be, then the less easily axial cracks of the sugarcane will appear, the better the SCQ will be.

According to Tables 37 and 38, the effect of the SSFE input frequency on the axial cutter vibration displacement is the most significant. Therefore, the SSFE input frequency may also affect the axial cutter vibration frequency significantly, that is, it may determine the axial cutter vibration frequency, so the SSFE input frequency can represent $ω_{i}$ here, then the conclusion obtained through equation (19) matches some conclusions obtained through axial cutter vibration displacement measuring experiments without cutting sugarcanes and in the sugarcane cutting process that the greater the SSFE input frequency is, the greater the axial cutter vibration displacement will be. Besides, the conclusion obtained through equation (20) matches some conclusions obtained through the simulated sugarcane cutting experiment under complicated excitations that the greater the axial cutter vibration displacement and the SSFE input frequency are, the greater cutting forces and the CCQEV will be, the poorer the SCQ will be.

According to the second Newton Law, the resultant force combined by all forces acting at the contact point, $F_{A_{1}}$ and $F_{A_{2}}$ are calculated through equation (22).

F_{A_{1}}, F_{A_{2}} = ma

(22)

Where: $m$ – the mass of the sugarcane; $a$ – the resultant acceleration of the contact point.

There are only motions along the x and the z axes, so $a$ is calculated through equation (23).

\vec{a} = \frac{d^{2} \vec{z}}{d t^{2}} + \frac{d^{2} \vec{x}}{d t^{2}}

(23)

$F_{A_{1}}$ and $F_{A_{2}}$ can be also calculated through all forces acting at the contact point, as is shown in equation (24).

{\begin{matrix} {\vec{F}}_{A_{1}} = {\vec{F}}_{0} + {\vec{N}}_{1} + {\vec{f}}_{1} + {\vec{F}}_{1} + {\vec{F}}_{x} . . . . . . . . . . . . . . . . . . . . (a) \\ {\vec{F}}_{A_{2}} = {\vec{F}}_{0} + {\vec{N}}_{2} + {\vec{f}}_{2} + {\vec{F}}_{2} + {\vec{F}}_{x} . . . . . . . . . . . . . . . . . . . . (b) \end{matrix}

(24)

Where: $F_{1}$ , $F_{2}$ – resultant forces leading to the motion of the contact point along the tangential line of the cutter; $F_{0}$ , $N_{1}$ – component forces of $F_{z_{1}}$ ; $F_{0}$ , $N_{2}$ – component forces of $F_{z_{2}}$ ; $F_{x}$ – the compression along the x axis generated by the cutter acting on the sugarcane at the contact point because of the sugarcane harvester moving speed.

Analysis and discussions

(1) When a sugarcane is cut for the second time, it will be easy to be compressed and torn. Its ratoon will be broken if the axial cutter vibration displacement is great. Therefore, the axial cutter vibration displacement should be reduced and natural frequencies of the body frame and the cutting system should be increased to avoid the resonance of sugarcane harvesters.

(2) A low cutter rotating speed causes lack of cutting energies, making cutters generate shocks acting on sugarcanes instead of cutting off them at once. Sugarcane toughness prevents cutting energies and cutters reaching sugarcane interiors rapidly. Then cutters compress and shock sugarcanes, causing sugarcane cracks. Therefore, the cutter rotating speed should be great enough to cut off sugarcanes rapidly to improve the SCQ.

(3) A great cutter installing angle increases the contact area of cutters and sugarcanes. Then sugarcane ratoons are not easy to be broken by cutters. The axial tensile strength of sugarcanes is greater than their radial tensile strength. Therefore, a great cutter installing angle helps cut off sugarcanes.

(4) The sugarcane harvester moving speed should be increased to improve the SCQ in that under a low sugarcane harvester moving speed, sugarcanes will be cut off in several times of cutting, which leads to a low SCQ. However, under a high sugarcane harvester moving speed, cutters may generate great pushing forces acting on sugarcanes, which is easy to break sugarcane ratoons. Besides, small sugarcane harvesters in hilly areas are focused in this paper. A high moving speed is not suitable for a small sugarcane harvester to move in a hilly area while it is suitable for flat areas. Therefore, according to Figure 24, the best sugarcane harvester moving speed is 0.6 m/s with the best SCQ for small sugarcane harvesters in hilly areas, which is far from the sugarcane harvester moving speed greater than1.5 m/s in flat areas.

(5) In previous research of our research group, the axial cutter vibration caused by the sugarcane field excitation was simulated through eccentric mass blocks installed on cutters of the SHEP,²⁵ making it not able to study effects of the sugarcane field excitation frequency on the SCQ and three-directional cutting forces. In this paper, the SSFE was used to simulate the sugarcane field excitation, making it able to study these effects. Only the number of sugarcane cracks, the crack thickness and the crack length were used to calculate the CCEQV²⁵ in previous research of our research group while four indexes were used in this paper.

Conclusions

(1) The sugarcane field excitation and the engine excitation have significant monotonic positive correlated effects on the axial cutter vibration and the three-directional cutting forces while they have significant monotonic negative correlated effects on the SCQ. The cutter rotating speed, the sugarcane harvester moving speed and the cutter installing angle have significant monotonic negative correlated effects on the axial cutter vibration and the three-directional cutting forces while they have significant monotonic positive correlated effects on the SCQ.

(2) Low-stage natural frequencies of sugarcane harvesters should be improved to be away from the main excitation frequency band of sugarcane field roughness to avoid the sympathetic vibration, then to weaken the axial cutter vibration.

(3) The axial cutter vibration has directly and highly significant monotonic positive correlated effects on three-directional cutting forces while it has a directly and highly significant monotonic negative correlated effect on the SCQ. Three-directional cutting forces have significant monotonic negative correlated effects on the SCQ.

(4) The best cutting parameters of sugarcane harvesters with the best SCQ are as follow: the cutter rotating speed is 700 r/min, the sugarcane harvester moving speed is 0.6 m/s and the cutter installing angle is 8°.

(5) Except the engine excitation, the sugarcane field excitation, the cutter rotating speed and interactions all have significant effects on the axial no-load cutter vibration. Significance levels of effects on the axial no-load cutter vibration from high to low are as follow, the sugarcane field excitation, the cutter rotating speed, the engine excitation, interaction between the engine excitation and the cutter rotating speed, interaction between the sugarcane field excitation and the engine excitation, interaction between the sugarcane field excitation and the cutter rotating speed.

(6) In the sugarcane cutting process, except the sugarcane harvester moving speed, the cutter installing angle and all interactions, the sugarcane field excitation, the cutter rotating speed and the engine excitation have significant effects on the axial cutter vibration, three-directional cutting forces and the SCQ. Significance levels of effects in the sugarcane cutting process form high to low are as follow, the sugarcane field excitation, the cutter rotating speed, the engine excitation, the cutter installing angle, the sugarcane harvester moving speed. The significance level of the effect of interaction between the sugarcane harvester moving speed and the cutter installing angle is the highest while the significance level of the effect of interaction between the sugarcane field excitation and the cutter rotating speed in the sugarcane cutting process is the lowest.

(7) In the sugarcane cutting process of sugarcane harvesters, a sugarcane is cut off in more than one time of cutting and there is a height difference between different cut-in points. When the sugarcane was cut for the second time, the cutters pressed the sugarcane and the axial cutter vibration made the sugarcane broken. Therefore, the axial cutter vibration directly affects the SCQ.

The pressure and the bending moment generated by the cutter acting on the sugarcane increase along with the axial cutter vibration displacement and frequency increasing. This makes axial sugarcane cracks appear and the ratoon broken, leading to a poor SCQ.

(8) Sugarcane cutting experiments in sugarcane fields should be further done to verify conclusions obtained on the SHEP. Besides, based on a weaker axial cutter vibration and a better SCQ, reverse design of sugarcane harvesters should be done according to conclusions obtained above.

Footnotes

Handling Editor: Chenhui Liang

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was funded by a Middle-aged and Young Teachers’ Basic Scientific Research Ability Promotion Project of Guangxi Universities, China (Project number: 2023KY0701); a Wuzhou University Research Foundation for Advanced Talents, China (Project Number: WZUQDJJ17195); a Key University-level Scientific Research Project of Wuzhou University, China (Project number: 2020B003); a Wuzhou University Research Foundation for Advanced Talents, China (Project Number: WZUQDJJ17179); a major special project of Guangxi sugarcane science and technology in the 14th Five-year Plan, China (Project number: 2022AA01010); a general program of the National Natural Science Foundation Project, China (Grant Number: 32071916); a horizontal technical service project of the Zhenkang Professor Workstation, Yunnan, China; a Double First-class Discipline Construction Project: Mechanized sugarcane harvesting equipment development of Zhenkang, Yunnan, China; the first university-directly-under-Education-Ministry-served innovative rural revitalization test project: the China-Agricultural-University-served innovative Bangdong Village revitalization test plan, mechanized-sugarcane-harvesting-assistant rural revitalization in hilly areas, Zhenkang, Yunnan, China; the Portable Sugarcane Harvester Research and Development, China (Grant Number: NK2022160504); the 2115 Talent Development Program of China Agricultural University; a Guangxi Science and Technology Project, China (Project number: Guike AA22117007); a Guangxi Science and Technology Project, China (Project number: Guike AA22117005); a Guangxi Special Project of Science Technology Bases and Talents, China (Project number: Guike AD23026033).

Prof. Shangping Li, Prof. Shaochun Ma and Prof. Zhimin Huang discussed the idea with Hanning Mo after Hanning Mo put forward the topic. Hanning Mo finally determined the title of this manuscript.

Hanning Mo and Chen Qiu designed experiments under Prof. Shangping Li’s guidance. Hanning Mo and Chen Qiu designed, manufactured and adjusted the sugarcane harvester experiment platform. Prof. Shangping Li funded the sugarcane harvester experiment platform. Chen Qiu helped Hanning Mo carry out experiments, analyze experimental results and process the data.

Hanning Mo and Chen Qiu designed the frame of this manuscript. Then Hanning Mo wrote this manuscript. Chen Qiu gave valued ideas and suggestions during Hanning Mo’s writing. Prof. Shangping Li, Prof. Shaochun Ma and Prof. Zhimin Huang reviewed this manuscript. Hanning Mo revised it according to their comments for several times. All the authors agreed on what the manuscript is presented like finally.

ORCID iD

Hanning Mo

References

Thanomputra

Kiatiwat

. Simulation study of cutting sugarcane using fine sand abrasive waterjet. Agric Nat Resour 2016; 50: 146–153.

Mello

Harris

. Angled and serrated blades reduce damage, force and energy for a harvester basecutter. In: Proceedings of the 2001 Conference of the Australian Society of Sugar Cane Technologists held at Mackay, Queensland, Australia, 1st-4th May 2001. PK Editorial Services Pty Ltd, 2001, pp.212–218.

Momin

Wempe

Grift

, et al. Effects of four base cutter blade designs on sugarcane stem cut quality. Trans ASABE 2017; 60: 1551–1560.

Silva

Corrêa

Cortez

, et al. Statistical control applied in the process of mechanical sugar cane harvest. Eng Agric 2008; 28: 292–304.

Ripoli

M L C

Gamero

, et al. Effects of two different base cutters in green cane mechanical harvest. 2003 ASAE Annual Meeting. American Society of Agricultural and Biological Engineers, 2003, p.1.

Johnson

Clementson

Mathanker

, et al. Cutting energy characteristics of Miscanthus x giganteus stems with varying oblique angle and cutting speed. Biosyst Eng 2012; 112: 42–48.

Mathanker

Grift

Hansen

. Effect of blade oblique angle and cutting speed on cutting energy for energycane stems. Biosyst Eng 2015; 133: 64–70.

Kroes

Harris

. A kinematic model of the dual basecutter of a sugar cane harvester. J Agric Eng Res 1995; 62: 163–172.

Qingting

Yinggang

Shangle

, et al, Failure tests of sugarcane stalks under torsion, compression and tension load. Trans Chin Soc Agric Eng 2006; 22: 201–204.

10.

Taghijarah

Ahmadi

Ghahderijani

, et al. Cutting forces and energy during an impact cut of sugarcane stalks. Aust J Crop Sci 2011; 5: 630–634.

11.

Lai

, et al. Effect of field excitation on cutting quality for sugarcane. Trans Chin Soc Agric Mach 2011; 42: 97–101.

12.

Lai

, et al. Simulation and experimental study on sugarcane field excitation to the cutter. Adv Mater Res 2010; 156–157: 1105–1108.

13.

Wang

Daogao

Dantong

, et al. Research on the influence of bearing clearance on vibration characteristics of sugarcane cutter. Agric Equip Veh Eng 2013; 51: 6–9.

14.

Handong

Yuxing

Yanqin

, et al. Finite element simulation of sugarcane cutting. Trans Chin Soc Agric Eng 2011; 27: 161–166.

15.

Qingting

Yinggang

Shangle

, et al. Cutting force calculation of sugarcane stalk. Trans Chin Soc Agric Mach 2006; 37: 89–92.

16.

Xin

Zhihong

Xiancheng

, et al. Finite element simulation of reciprocating sugarcane cutter. Value Eng 2018; 37: 148–150.

17.

Yang

Liang

, et al. Experimental research on factors affecting the cutting quality of sugarcane cutter. Trans Chin Soc Agric Eng 2005; 21: 60–64.

18.

Pelloso

de Lima

, et al. Influence of harvester and rotation of the primary extractor speed in the agroindustrial performance of sugarcane. Sugar Tech 2021; 23: 692–696.

19.

Qiu

, et al. Experimental Research on Influence Factors of the Sugarcane Ratoon Cutting Quality Under Vibration Conditions. In: Proceedings of IncoME-VI and TEPEN 2021: Performance Engineering and Maintenance Engineering. Cham: Springer International Publishing, 2022, pp.69–80.

20.

Qiu

, et al. Collection and analysis on main excitation source signals of sugarcane harvesters. J Chin Agric Mech 2018; 39: 85–91.

21.

Qiu

, et al. Dynamic characteristic research on a simulated sugarcane field exciter for small sugarcane harvesters: simulations and experiments. J Vibroengineering 2022; 24: 806–823.

22.

Fanglan

Yulin

Shangping

, et al. Analysis on fuzzy comprehensive evaluation and optimization of cutting performance of sugarcane harvester. Trans Chin Soc Agric Mach 2006; 37: 79–82.

23.

Fanglan

Yulin

Shangping

, et al. Comprehensive evaluation method of sugarcane harvester cutting performance. J Comput Aided Des Comput Graph 2006; 7: 1067–1072.

24.

Fanglan

Shangping

Yulin

, et al. Performance analysis on cleaning element of sugarcane harvester based on neural network. J Agric Mach 2006; 37: 69–73.

25.

Jinghui

Shangping

Daiyun

, et al. Influence of sugarcane harvester cutterhead axial vibration on sugarcane ratoon cutting quality. Trans Chin Soc Agric Eng 2017; 33: 16–24.

26.

Zhou

, et al. Simulation and experimental investigations on the sugarcane cutting mechanism and effects of influence factors on the cutting quality of small sugarcane harvesters under vibration excitations. Math Probl Eng 2022; 2022: 1–28.

27.

Zhang

Caifu

, et al. Analysis on the vibration of small sugarcane harvester cutter under the complex excitation. J Agric Mech Res 2018; 40: 40–45.