Analysis of process parameter effect on surface roughness during Fused Deposition Modeling on PLA

Abstract

FDM (Fused Deposition Modeling) is favored to be applied for manufacturing over other methods of 3d printing these days. The FDM approach may easily be fit perfectly if a preset process and model are directed to the machine utilizing a data transmission device. There are various possibilities for altering the input values as per the user demand. In this work, polylactic acid (PLA) is employed for specimen production. The tests in this research were done to investigate how four process parameters which are layer thickness, infill percentage, extrusion temperature, and print speed influenced surface roughness. Furthermore, the relative influences of these components on the response have been discovered and optimized using the Taguchi approach, and findings have been derived. Furthermore, findings and significant analysis were done utilizing the ANOVA approach. The Confirmation testing for SR was done to validate the findings.