Article: Experimental modelling and multi-objective optimisation of electrochemical discharge peripheral surface grinding process during machining of alumina epoxy nanocomposites Journal: International Journal of Industrial and Systems Engineering (IJISE) 2024 Vol.47 No.3 pp.404 - 420 Abstract: Machining electrically non-conductive materials is still a very challenging task. So far, electrochemical discharge machining (ECDM) and its configurations, such as drilling-ECDM, TW-ECDM, and milling-ECDM, have been developed for machining such materials. Hence, an in-depth experimental analysis of grinding-ECDM is also required. In the present work, the mathematical models have been formulated using response surface methodology based on Box-Behnken design on the peripheral surface configuration of grinding-ECDM (electrochemical discharge peripheral surface grinding process). Experiments were carried out on alumina-reinforcement epoxy nanocomposites considering supply voltage, pulse on-time, electrolyte concentration, and wheel rotation as input process parameters and MRR and Ra as output performance parameters. The multi-objective optimisation has been done using desirability function analysis (DFA) and grey relational analysis (GRA). The input process parametric conditions obtained from both optimisation methods are different. It has been found that DFA shows slightly better results than GRA for both MRR and Ra. Inderscience Publishers - linking academia, business and industry through research

Title: Experimental modelling and multi-objective optimisation of electrochemical discharge peripheral surface grinding process during machining of alumina epoxy nanocomposites

Authors: Nandani Singh; Vinod Yadava; Pragya Shandilya

Addresses: Department of Mechanical Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India ' Department of Mechanical Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India ' Deceased; formerly of: Department of Mechanical Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India

Abstract: Machining electrically non-conductive materials is still a very challenging task. So far, electrochemical discharge machining (ECDM) and its configurations, such as drilling-ECDM, TW-ECDM, and milling-ECDM, have been developed for machining such materials. Hence, an in-depth experimental analysis of grinding-ECDM is also required. In the present work, the mathematical models have been formulated using response surface methodology based on Box-Behnken design on the peripheral surface configuration of grinding-ECDM (electrochemical discharge peripheral surface grinding process). Experiments were carried out on alumina-reinforcement epoxy nanocomposites considering supply voltage, pulse on-time, electrolyte concentration, and wheel rotation as input process parameters and MRR and R_a as output performance parameters. The multi-objective optimisation has been done using desirability function analysis (DFA) and grey relational analysis (GRA). The input process parametric conditions obtained from both optimisation methods are different. It has been found that DFA shows slightly better results than GRA for both MRR and R_a.

Keywords: desirability function analysis; DFA; ECDM; ECDPSG; Grey relational analysis; GRA; grinding; multi-objective optimisation; polymer nanocomposite; PSN; response surface methodology; RSM.

DOI: 10.1504/IJISE.2024.139562

International Journal of Industrial and Systems Engineering, 2024 Vol.47 No.3, pp.404 - 420

Received: 10 Jul 2022
Accepted: 25 Dec 2022
Published online: 04 Jul 2024 *

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Title: Experimental modelling and multi-objective optimisation of electrochemical discharge peripheral surface grinding process during machining of alumina epoxy nanocomposites

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