Optimization of Machining Parameters for Turning Using Genetic Algorithm

Optimization of Machining Parameters for Turning Using Genetic Algorithm

K.V.Lavanya1, P.Aknadh2, Shivasantosh Kumar Morri3

1Assistant Professor, Dept. of Mechanical, Sanketika Vidya Parishad Engineering College, Vizag, A.P, India

2Assistant Professor, Dept. of Mechanical, Sanketika Vidya Parishad Engineering College, Vizag, A.P, India

3M.TECH (final year),Dept. of Mechanical, Sanketika Vidya Parishad Engineering College, Vizag, A.P, India

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Abstract –

Optimization of machining parameters is an important research area for achievement of higher productivity and high-quality products to retain and improve market share in the current competitive scenario. This project aims at multi-objective optimization of turning process on C45 grade medium carbon steel for an optimal parametric combination to provide the minimum surface roughness (Ra) with the maximum material-removal rate (MRR) using the Genetic Algorithms. Turning parameters considered are cutting speed, feed rate and depth of cut.

Eighteen experimental runs based on Taguchi’s L18  orthogonal array were performed followed by the Response Surface method (RSM) to model the problem. The significance of chosen parameters on overall quality characteristics of the cutting process has been also analyzed by Response Surface method (RSM). Genetic algorithm is used to optimize the multi-response optimization problem. The optimal parameter values obtained during the study have been validated by confirmation experiment