Process Parameter Optimization for Machining SiCp/Al-MMC Using RSM and GA

Jae Seob Kwak; Long Zhu Chi; Yang Koo; Yeong Deug Jeong; Man Kyung Ha

doi:10.4028/www.scientific.net/KEM.326-328.1213

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 326-328Process Parameter Optimization for Machining...

Process Parameter Optimization for Machining SiC_p/Al-MMC Using RSM and GA

Abstract:

This study aimed to achieve optimization of grinding parameters for aluminum-based metal matrix composites using response surface model and genetic algorithm. Experiments were conducted in accordance with a preplanned orthogonal array. The effect of grinding parameters on surface roughness and grinding forces was evaluated and second-order response surface models were developed for predicting grinding outcomes. Optimal grinding parameters were determined from the genetic algorithm and the response surface models.

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Periodical:

Key Engineering Materials (Volumes 326-328)

Pages:

1213-1216

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.326-328.1213

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Online since:

December 2006

Authors:

Jae Seob Kwak, Long Zhu Chi, Yang Koo, Yeong Deug Jeong, Man Kyung Ha

Keywords:

Composite Material, Genetic Algorithm (GA), Grinding, Response Surface Model

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References

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