Process Parameter Optimization for Machining SiCp/Al-MMC Using RSM and GA
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.
Soon-Bok Lee and Yun-Jae Kim
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