Benchmarking COPRAS and TOPSIS approaches for optimisation of FDM process parameters: a case of an automotive component

Abstract

Fused deposition modelling (FDM)-based additive manufacturing (AM) process is inevitable for new product development and prototype fabrication. This paper presents the fabrication of bevel gear for an automotive application using FDM technology. This article aims to develop a sustainable automotive prototype component through FDM-based AM process with optimised process parameters. In this study, build time (BT), energy consumption (EC), and support material consumption (SMC) have been optimised for the FDM process. Four input parameters with two levels have been investigated for the automotive component manufactured using FDM process. For optimisation, Taguchi L16 orthogonal array has been done, and ANOVA statistical tool was used to find significant factors and contribution percentage. Complex proportional assessment (COPRAS)-based MCDM methodology was used to find the best experimental run. Technique for order preference by similarity to ideal solution (TOPSIS) was used to validate the results.