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Parametric Appraisal of Electrochemical Machining of AISI 4140 Chromoly steel using Hybrid Taguchi - WASPAS - Sunflower optimization algorithm

Barua, A and Mishra, M and Das, T and Kumari, K and Pradhan, S and Priyadarshini, M and Saha, S (2023) Parametric Appraisal of Electrochemical Machining of AISI 4140 Chromoly steel using Hybrid Taguchi - WASPAS - Sunflower optimization algorithm. In: 1st International Conference on Sustainable Development Goals, ICSDG 2023, 29 September 2023through 30 September 2023, Phagwara.

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Official URL: https://doi.org/10.1051/e3sconf/202345301046

Abstract

Electrochemical machining (ECM) is a significant technique for getting rid of metal that employs anodic dissolution to get complex contours and deep, precise holes, mostly in the components used in automotive or aerospace sectors. To achieve such high surface characteristics, the selection of factors is important. This work deals with the ECM of AISI 4140 Chromoly steel to investigate the surface roughness and material removal rate (MRR) on the machined specimen using a copper tool electrode. Factors like voltage, signal, and feed rate were optimized by hybrid optimization techniques. To acquire optimal factor configurations, the Taguchi-based WASPAS approach was utilised, accompanied by the Sunflower optimisation methodology. ANOVA was then used to determine the component that was the most impactful factor. A confirmation test is used to signify the outcomes of electrochemical machining. It was revealed that feed rate was among the most significantly relevant factors in affecting surface roughness and MRR. Also, all the optimization approaches provided similar predictions and agreed with the results fetched by the previous research. © The Authors, published by EDP Sciences, 2023.

Item Type: Conference Paper
Publication: E3S Web of Conferences
Publisher: EDP Sciences
Additional Information: The copyright for this article belongs to authors.
Department/Centre: Division of Mechanical Sciences > Materials Engineering (formerly Metallurgy)
Date Deposited: 29 Nov 2024 14:09
Last Modified: 29 Nov 2024 14:09
URI: http://eprints.iisc.ac.in/id/eprint/85363

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