Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
2024-02-24
2024-01-04
2023-11-02
Abstract—Determination of optimal cutting parameters is one of the most important elements in any process planning of metal parts. The evolutionary algorithm Genetic Algorithm (GA) is used to improve many solutions of optimization complex problems in many applications. The present paper reviewed the ideal selection of cutting parameters in turning operation of En24 work material using PVD coated tool using GA and its variants. This study deals with GA algorithm in different machining aspects in turning operation like surface roughness, material removal rate, and power consumption. Index Terms—GA, Optimization, Turning
Cite: M Adinarayana, G Prasanthi, and G Krishnaiah, "Optimization for Surface Roughness, MRR, Power Consumption in Turning of En24 Alloy Steel Using Genetic Algorithm ," International Journal of Mechanical Engineering and Robotics Research, Vol. 3, No. 1, pp. 20-26, January 2014.
