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

P. Ramesh and S. Vinodh

International Journal of Process Management and Benchmarking, 2023, vol. 13, issue 3, 357-383

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.

Keywords: fused deposition modelling; FDM; additive manufacturing; multicriteria decision making; MCDM; Taguchi method; TOPSIS; complex proportional assessment; COPRAS; energy consumption; FDM; optimisation; build time; material consumption. (search for similar items in EconPapers)
Date: 2023
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