Title: MOGA optimisation of wear performance of stir cast AA7050/B₄C-T6 ex-situ metal matrix composite

Authors: Arvind Kumar; Arnab Pal; Ram Naresh Rai

Addresses: Department of Production Engineering, National Institute of Technology, Agartala, Jirania, 799046, Tripura, India ' Department of Electrical Engineering, National Institute of Technology, Agartala, Jirania, 799046, Tripura, India ' Department of Production Engineering, National Institute of Technology, Agartala, Jirania, 799046, Tripura, India

Abstract: The present paper aimed to develop the AA7050-xB₄C-T6 composite (x = 0, 5, 10 wt. %) through flux assisted stir casting techniques. Further to evaluate the wear performance of the composite in terms of wt. loss and coefficient of friction (COF) by the concurrent effect of process parameters such as wt. % of B₄C, normal load, and sliding distance using pin-on-disc tribometer. The experiments were designed based on the full factorial design of the experiment. The results, shows that the normal load has profound influences on the wt. loss, whereas wt. % of B₄C have maximum influence on the COF. Sliding distance has a significant influence on both wt. loss and COF. The quadratic regression model developed and the multi-objective genetic algorithm (MOGA) optimisation techniques used to optimise the performance parameters. The % error estimated between optimised and the experimental wt. loss, and COF are 8.13% and 3.58%, respectively. The errors are within the acceptable threshold.

Keywords: AA7050-B₄C composite; regression model; MOGA; applied loads; sliding distance.

DOI: 10.1504/IJMPT.2020.110115

International Journal of Materials and Product Technology, 2020 Vol.60 No.2/3/4, pp.180 - 194

Received: 12 Aug 2019
Accepted: 24 Apr 2020
Published online: 06 Oct 2020 *

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