Taguchi's Parametric Approach in Optimizing Selective Inhibition Sintering Process Variables

摘要

Selective Inhibition Sintering (SIS) is novel additive manufacturing process wherein wide array of indigenous polymers can be used to produce high strength parts. The contemporary approach has many parameters that need to be optimized. The proposed work considers layer thickness, heater speed, and amount of heat as candidate options to optimize using Taguchi's single response method. The thermo-structural Finite Element Analysis (FEA) provided the maximum displacement and temperature of the structural model. Design of experiment is conducted for three levels of considered factors and corresponding orthogonal array and responses are obtained. Further, Analysis of Variance (ANOVA) studies are steered to evaluate the influence of these parameters on parts dimensional accuracy. The simulation analysis results of this work demarcated that layer thickness is one of the important factor in SIS process for dimensional stability. Finding from this study enables us to perform experiments on suitable layer thickness that leads to production of parts with adequate strength.