Title: Application of genetic algorithm in optimisation of cutting force of Al/SiC_p metal matrix composite in end milling process

Authors: M.S. Aezhisai Vallavi; N. Mohan Das Gandhi; C. Velmurugan

Addresses: Department of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore-641049, Tamilnadu, India ' Kalaignar Karunanidhi Institute of Technology, Coimbatore-641402, Tamilnadu, India ' Department of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore-641049, Tamilnadu, India

Abstract: This paper investigates the cutting force of LM6/SiC_p using end milling process. Mathematical models have been developed to predict the cutting force in terms of spindle speed, axial depth of cut and weight percentage of SiC_p. Response surface methodology has been employed to create the mathematical model. The experiments have been conducted on LM6/SiC_p by carbide insert and cutting forces have been measured using a milling tool dynamometer. The direct and interaction effects are studied with the influence of machining parameters. Analysis of variance (ANOVA) has been used to check the adequacy of the model. Optimum combination can be attained for the best result.

Keywords: cutting force; end milling; metal matrix composite; MMC; response surface methodology; RSM; optimisation.

DOI: 10.1504/IJMPT.2018.090817

International Journal of Materials and Product Technology, 2018 Vol.56 No.3, pp.234 - 252

Accepted: 24 Nov 2016
Published online: 28 Mar 2018 *

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