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Optimization of laser-assisted jet electrochemical machining parameters by grey relational analysis and fuzzy logic

Optimization of laser-assisted jet electrochemical machining parameters by grey relational... The purpose of this paper is to optimize the laser-assisted jet electrochemical machining parameters, namely, supply voltage, inter-electrode gap, duty cycle and electrolyte concentration during machining of WC-Co composite using grey relational analysis and fuzzy logic.Design/methodology/approachIn this work, experiments were carried out as per the Taguchi methodology and an L16 orthogonal array was used to study the influence of various combinations of process parameters on material removal rate, hole taper angle and surface roughness height. As a dynamic approach, the multiple response optimization was carried out using grey relational analysis and fuzzy logic.FindingsThe process parameters were optimized using grey relational analysis and fuzzy logic for different machining conditions such as balanced manufacturing, high-speed manufacturing and high-quality manufacturing. The research documented in this paper can be scaled up for case studies regarding industrial applications to compare optimization methods for manufacturing processes that are already being carried out.Originality/valueAn attempt to optimize material removal rate, hole taper angle and surface roughness height together by a combined approach of grey relational analysis and fuzzy logic has not been previously done. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png World Journal of Engineering Emerald Publishing

Optimization of laser-assisted jet electrochemical machining parameters by grey relational analysis and fuzzy logic

Malik, Anup; Sanghvi, Neel
World Journal of Engineering , Volume 19 (3): 8 – May 10, 2022
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References (30)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1708-5284
DOI
10.1108/wje-08-2020-0405
Publisher site
See Article on Publisher Site

Abstract

The purpose of this paper is to optimize the laser-assisted jet electrochemical machining parameters, namely, supply voltage, inter-electrode gap, duty cycle and electrolyte concentration during machining of WC-Co composite using grey relational analysis and fuzzy logic.Design/methodology/approachIn this work, experiments were carried out as per the Taguchi methodology and an L16 orthogonal array was used to study the influence of various combinations of process parameters on material removal rate, hole taper angle and surface roughness height. As a dynamic approach, the multiple response optimization was carried out using grey relational analysis and fuzzy logic.FindingsThe process parameters were optimized using grey relational analysis and fuzzy logic for different machining conditions such as balanced manufacturing, high-speed manufacturing and high-quality manufacturing. The research documented in this paper can be scaled up for case studies regarding industrial applications to compare optimization methods for manufacturing processes that are already being carried out.Originality/valueAn attempt to optimize material removal rate, hole taper angle and surface roughness height together by a combined approach of grey relational analysis and fuzzy logic has not been previously done.

Journal

World Journal of Engineering – Emerald Publishing

Published: May 10, 2022

Keywords: Laser-assisted jet electrochemical machining; Optimization; WC-Co composite; Grey relational analysis; Fuzzy logic

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