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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM38782

Optimization of Machining Parameters for Turning Using Genetic Algorithm

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM38782

Volume:

8 |

11 |

Nov 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

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License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

K

K.V.Lavanya

P

P.Aknadh

SKM

Shivasantosh Kumar Morri

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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

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Cite This Article

K.V.Lavanya, P.Aknadh, Shivasantosh Kumar Morri, "Optimization of Machining Parameters for Turning Using Genetic Algorithm," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 11, Nov 2024.

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Publication Date

11/15/2024

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Review Rounds: 2

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