Paper Title:
Process Parameter Optimization for Machining SiCp/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.

  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, L. Z. Chi, Y. Koo, Y. D. Jeong, M. K. Ha, "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
$32.00
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