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Optimization for Surface Roughness, MRR, Power Consumption in Turning of En24 Alloy Steel Using Genetic Algorithm

M Adinarayana1, G Prasanthi2, and G Krishnaiah3
1.Mechanical Engg., Sir Vishveswaraiah Institute of Technology & Science, Angallu, Madanapalli, India
2.Mechanical Engg., JNTUA College of Engg., JNTUA, Anantapuram, Andhra Pradesh, India
3.Mechanical Engg., JNTUA College of Engg., JNTUA, Anantapuram, Andhra Pradesh, India

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.

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