Restricted accessResearch articleFirst published online 2021-5
Analysing the influence of raster angle,layer thickness and infill rate on the compressive behaviour of EVA through CNC-assisted fused layer modelling process
The current study analyses the compressive behaviour of ethylene vinyl acetate specimens processed through extrusion-based additive manufacturing. The compression specimens have been fabricated using an in-house developed fused layer modelling process. Response surface methodology technique has been adopted to generate the experimental runs by selecting raster angle, layer thickness and infill percentage as input process parameters. Further, analysis of variance has been used to analyze the obtained compression data. The infill percentage is found to be the most significant parameter for compressive strength; however, raster angle has shown an insignificant effect. The empirical relation has been established between the selected input process parameters and compressive strength. The predicated and experimental results have also been compared to validate the derived empirical model. Results showed good conformity.
ChuaCKLeongKFLimCS. Rapid prototyping: principles and applications, 2nd ed. Singapore: World Scientific Publishing Co. Pte. Ltd, 2012.
2.
Kumar N, Jain PK, Tandon P, et al. Toolpath generation for additive manufacturing using CNC Milling Machine. In: Kumar LJ, Pandey PM and Wimpenny DI (eds). 3D printing and additive manufacturing technologies. Singapore: Springer, 2019, pp.73–82.
3.
GibsonIRosenDStuckerB. Additive manufacturing technologies, 2nd ed. New York: Springer, 2013.
4.
TaufikMJainPK. CNC-assisted selective melting for improved surface finish of FDM parts. Virtual Phys Prototyp2016; 11: 319–341.
5.
TaufikMJainPK. Laser assisted finishing process for improved surface finish of fused deposition modelled parts. J Manuf Process2017; 30: 161–177.
6.
TurnerBNStrongRGoldS. A review of melt extrusion additive manufacturing processes: I. Process design and modeling. Rapid Prototyp J2014; 20: 192–204.
7.
KumarNShaikhSJainPK, et al.Effect of fractal curve based toolpath on part strength in fused deposition modelling. Int J Rapid Manuf2015; 5: 186–198.
8.
ShaikhSKumarNJainPK, et al.Hilbert curve based toolpath for fdm process. CAD/CAM, Robot Factories Futur Springer India2016, pp. 751–759.
9.
LeeCSKimSGKimHJ, et al.Measurement of anisotropic compressive strength of rapid prototyping parts. J Mater Process Technol2007; 187–188: 627–630.
10.
PandaSKPadheeSSoodAK, et al.Optimization of fused deposition modelling (FDM) process parameters using bacterial foraging technique. Intell Inf Manag2009; 01: 89–97.
11.
SoodAKOhdarRKMahapatraSS. Parametric appraisal of mechanical property of fused deposition modelling processed parts. Mater Des2010; 31: 287–295.
12.
RayeganiFOnwuboluGC. Fused deposition modelling (FDM) process parameter prediction and optimization using group method for data handling (GMDH) and differential evolution (DE). Int J Adv Manuf Technol2014; 73: 509–519.
13.
DurgunIErtanR. Experimental investigation of FDM process for improvement of mechanical properties and production cost. Rapid Prototyp J2014; 20: 228–235.
14.
MohamedOAMasoodSHBhowmikJL, et al.Effect of process parameters on dynamic mechanical performance of FDM PC/ABS printed parts through design of experiment. J Mater Eng Perform2016; 25: 2922–2935.
15.
NikzadMMasoodSHSbarskiI. Thermo-mechanical properties of a highly filled polymeric composites for fused deposition modeling. Mater Des2011; 32: 3448–3456.
16.
TymrakBMKreigerMPearceJM. Mechanical properties of components fabricated with open-source 3-D printers under realistic environmental conditions. Mater Des2014; 58: 242–246.
17.
KotlinskiJ. Mechanical properties of commercial rapid prototyping materials. Rapid Prototyp J2014; 20: 499–510.
18.
Torrado PerezARRobersonDAWickerRB. Fracture surface analysis of 3D-printed tensile specimens of novel ABS-based materials. J Fail Anal Prev2014; 14: 343–353.
19.
BelliniAGüçeriS. Mechanical characterization of parts fabricated using fused deposition modeling. Rapid Prototyp J2003; 9: 252–264.
20.
Bagsik A, Schöppner V and Klemp E. FDM part quality manufactured with Ultem* 9085. In: 14th Int sci conf polym mater; 15 September 2010, www.stratasys.com/∼/media/Main/Files/FDM Test Reports/FDM Part Quality Manufactured with Ultem.pdf (2010, accessed 15 October 2015).
21.
KumarNJainPKTandonP, et al.Investigation on the effects of process parameters in CNC assisted pellet based fused layer modeling process. J Manuf Process2018; 35: 428–436.
22.
KumarNJainPKTandonP, et al.Additive manufacturing of flexible electrically conductive polymer composites via CNC-assisted fused layer modeling process. J Brazilian Soc Mech Sci Eng2018; 40: 1–13.
23.
KumarNJainPKTandonP, et al.Extrusion-based additive manufacturing process for producing flexible parts. J Brazilian Soc Mech Sci Eng2018; 40: 1–12.
24.
HendersonAM. Ethylene-vinyl acetate (EVA) copolymers: a general review. IEEE Electr Insul Mag1993; 9: 30–38.
25.
MohamedOAMasoodSHBhowmikJL. Parametric analysis of the build cost for FDM additive processed parts using response surface methodology, New York: Elsevier Ltd, 2016.
26.
Montgomery DC. Design and analysis of experiments. John wiley & sons, 2017. 2nd ed. DOI: 10.1002/qre.4680030319.
