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Paper The following article is Open access

Parametric multi-objective optimization of fused deposition modelling (FDM) with biopolymer using Grey-Taguchi method

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Published under licence by IOP Publishing Ltd
, , Citation Kuldeep Sharma and Kapil Kumar 2022 IOP Conf. Ser.: Mater. Sci. Eng. 1248 012107 DOI 10.1088/1757-899X/1248/1/012107

1757-899X/1248/1/012107

Abstract

For ecological sustainability, the synthetic polymers are being continuously replaced by biopolymers due to their unique properties of biocompatibility and biodegradability. Ploy-lactic acid (PLA) is a well-known engineering biopolymer because of its versatile use in bioengineering, textile and packing industries. For the customized engineering applications, the mechanical properties, namely tensile strength and shore hardness of PLA specimens printed by FDM which is an economical 3D printed technique has been investigated in this article. Taguchi's L9 orthogonal array (OA) is used as a design of experiment. The influence of process parameters namely layer height, nozzle temperature, raster angle and surrounding pressure on mechanical properties of 3D printed specimens has been analysed by using Analysis of variance (ANOVA). ANOVA is employed to identify the significance and percent contribution of a particular process parameter on each mechanical property separately. In the end, grey relational analysis (GRA) is used as a multi-objective optimization tool to fabricate a better specimen with comprehensive mechanical properties.

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10.1088/1757-899X/1248/1/012107