Optimization of Fused Deposition Modeling (FDM) Process parameters for improving dimensional accuracy using Grey Taguchi Method

Abstract

Rapid Prototyping(RP) technology meets the current needs in the industry. Fused Deposition modeling
(FDM) is one of the key technology of RP. Dimensional accuracy of FDM produced part is major constraint. This paper
presents experimental investigations on influence of important process parameters viz. Layer thickness, part orien tation
and air gap on dimensional accuracy of Fused Deposition Modeling (FDM) processed PC (Poly Carbonate) part.
Optimum parameters setting to minimize percentage change in length, width and thickness of standard test specimen
have been found out using Taguchi’s parameter design. To this end, percentage change in length, width and thickness of
standard test specimen of produced component are considered as a multiple responses and simultaneous optimization
has been carried out with help of grey taguchi method.