Selection of Optimal Machining Parameters Using a Genetic Algorithm
Selection of optimal machining parameters is a difficult process due to the large number of variables and their complex interdependencies. In this study, a genetic algorithm-based method is presented to determine the optimal machining parameters for machining pockets using multi-pass end milling operations. The number of passes, axial and radial depths of cut, and feed rate are determined to minimize a cost function that is based on the cutting force. Results are presented for two different tool paths using a mechanistic model for predicting the cutting force.
K. Krishnamurthy and L. Yan, "Selection of Optimal Machining Parameters Using a Genetic Algorithm," Proceedings of the ASME International Mechanical Engineering Congress and Exposition (2001, New York, NY), vol. 2, pp. 1051-1057, American Society of Mechanical Engineers (ASME), Nov 2001.
ASME International Mechanical Engineering Congress and Exposition (2001: Nov. 11-16; New York, NY)
Mechanical and Aerospace Engineering
Keywords and Phrases
End milling; Machining parameters; Tool path; Automotive industry; Cutting; Genetic algorithms; Optimization; Parameter estimation; Probability; Problem solving; Wear of materials; Milling (machining)
Article - Conference proceedings
© 2001 American Society of Mechanical Engineers (ASME), All rights reserved.