A practical postprocessor with compensation of tool clamping errors for five-axis tool grinding machine

Abstract

The runout of the cutting edge significantly affects the cutting force, wear, and the process stability. Generally, the postprocessor of five-axis tool grinding machine ignores the clamping error of blank. Hence, this paper developed a postprocessor method with compensation of tool clamping errors to minimize runout of cutting edge for tool grinding machine. This method includes the kinematic model and the measurement model of clamping error for the tool grinding machine. This kinematic model converts CL data into NC data and converts NC data into CL data. The measurement model for measuring and calculating the clamping error of blank. The clamping error was inputted into the kinematic model of machine to compensate the clamping error. The solution strategy of the kinematic model was built, and is suitable for five-axis tool grinding machine. A postprocessor was subsequently developed according to the algorithm presented. Finally, the effectiveness of postprocessor was confirmed by the grinding experiment.

Keywords

Postprocessor five-axis tool grinding machine runout of tool kinematic model

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References

Bohez

ELJ

. Five-axis milling machine tool kinematic chain design and analysis. Int J Mach Tools Manuf 2002; 42: 505–520.

Takeuchi

Watanabe

. Generation of 5-axis control collision-free tool path and postprocessing for NC data. CIRP Annals 1992; 41: 539–542.

Sakamoto

Inasaki

. Analysis of generating motion for five-axis machining centers. Trans Japn Soc Mech Eng C 1993; 59: 1553–1559.

Lee

She

. Developing a postprocessor for three types of five-axis machine tools. The Int J Adv Manuf Technol 1997; 13: 658–665.

Jung

Lee

Kim

, et al. NC post-processor for 5-axis milling machine of table-rotating/tilting type. J Mater Process Technol 2002; 130–131: 641–646.

Makhanov

Munlin

. Optimal sequencing of rotation angles for five-axis machining. Int J Adv Manuf Technol 2007; 35: 41–54.

Tang

Yin

Chen

, et al. Development of a postprocessor for head tilting-head rotation type five-axis machine tool with double limit rotation axis. Int J Adv Manuf Technol 2018; 97: 3523–3534.

Tutunea-Fatan

Feng

H-Y

. Configuration analysis of five-axis machine tools using a generic kinematic model. Int J Mach Tools Manuf 2004; 44: 1235–1243.

Guo

Tang

Jiang

, et al. Highly efficient and accurate calibration method for the position-dependent geometric errors of the rotary axes of a five-axis machine tool. Proc Inst Mech Eng Part B J Eng Manuf 2020; 235: 23–33.

10.

Cheng

Sun

Liu

, et al. Geometric error compensation method based on Floyd algorithm and product of exponential screw theory. Proc Inst Mech Eng Part B J Eng Manuf 2016; 232: 1156–1571.

11.

Chu

Hoang

, et al. A framework for practically effective creation of postprocessors for 5-axis CNC machines with all possible configurations and working mechanisms. Proc Inst Mech Eng Part B J Eng Manuf 2023; 238: 682–694.

12.

Zhou

Liu

, et al. Post-processor development of a five-axis machine tool with optimization tool radius compensation. Int J Adv Manuf Technol 2017; 88: 1505–1522.

13.

She

C-H

Chang

C-C

. Design of a generic five-axis postprocessor based on generalized kinematics model of machine tool. Int J Adv Manuf Technol 2007; 47: 537–545.

14.

Qiao

Wei

Deng

, et al. Research and development of multi-axis CNC abrasive belt-grinding machine postprocessor. Int J Adv Manuf Technol 2023; 126: 3109–3131.

15.

Yun

Jung

Kurfess

. A geometric postprocessing method for 5-axis machine tools using locations of joint points. Int J Precis Eng Manuf 2013; 14: 1969–1977.

16.

Jung

H-C

Hwang

J-D

Park

K-B

, et al. Development of practical postprocessor for 5-axis machine tool with non-orthogonal rotary axes. J Cent South Univ Technol 2011; 18: 159–164.

17.

She

C-H

Chang

C-C

. Development of a five-axis postprocessor system with a nutating head. J Mater Process Technol 2007; 187–188: 60–64.

18.

Bao

Tansel

. Modeling micro-end-milling operations. Part II: tool run-out. Int J Mach Tools Manuf 2000; 40: 2175–2192.

19.

Zhang

Pan

Wang

, et al. Tool runout and single-edge cutting in micro-milling. Int J Adv Manuf Technol 2018; 96: 821–832.

20.

Guo

Sun

Guo

. Analytical modeling of geometric errors induced by cutter runout and tool path optimization for five-axis flank machining. Sci China Technol Sci 2011; 54: 3180–3190.

21.

Wan

Dong

Z-Y

Yang

, et al. Stability analysis of milling process by combining the gyroscopic effect with the symmetry and runout of the cutter. Mech Syst Signal Process 2021; 161: 107977.

22.

Zhang

Wang

, et al. A practical method of modelling and simulation for drill fluting. Int J Mach Tools Manuf 2006; 46: 667–672.

23.

Karpuschewski

Jandecka

Mourek

. Automatic search for wheel position in flute grinding of cutting tools. CIRP Annals 2011; 60: 347–350.

24.

Nguyen

S-L

. A mathematical model for simulating and manufacturing ball end mill. Comput-Aided Des 2014; 50: 16–26.

25.

_Tungsten powder, cemented carbide. (n.d.). Sample-Xiamen Golden Egret Special Alloy Co., Ltd. En.gesac.com.cn; https://en.gesac.com.cn/sample/2.html (accessed 11 April 2024).