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

Abstract:

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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.

Info:

Periodical:

Key Engineering Materials (Volumes 326-328)

Edited by:

Soon-Bok Lee and Yun-Jae Kim

Pages:

1213-1216

DOI:

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

Citation:

J. S. Kwak et al., "Process Parameter Optimization for Machining SiCp/Al-MMC Using RSM and GA", Key Engineering Materials, Vols. 326-328, pp. 1213-1216, 2006

Online since:

December 2006

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Price:

$35.00

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