Optimization of machining parameters for turning process by using grey relational analysis
1 Department of Industrial and Manufacturing System Engineering, Benghazi University, Benghazi, Libya.
2 Faculty of Mechanical Engineering, University Teknologi Malaysia, UTM Skudai, Johor 81310, Malaysia.
Research Article
World Journal of Advanced Research and Reviews, 2023, 17(01), 756-761
Article DOI: 10.30574/wjarr.2023.17.1.0080
Publication history:
Received on 08 December 2022; revised on 19 January 2023; accepted on 21 January 2023
Abstract:
This paper presents an optimization of process parameters of turning operation using multi-response optimization Grey Relational Analysis (GRA) method instead of single response optimization. These parameters were optimized based on a three level two factor factorial design with three center points was used for the experimental design with Grey Relational Analysis. The machining parameters such as cutting speed, feed rate, and depth of cut were chosen for experimentation. The performance characteristics chosen for this study are material removal rate (MRR), tool life, and surface roughness. Experiments were conducted using coated carbide tool (KC5010) as the tool and martensitic stainless steel (AISI 420) as the workpiece. Experimental results have been improved through this approach.
Keywords:
GRA; MRR; Tool life; Surface roughness
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0