Abstract

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.

Volume Subject Area:
Intelligent Systems
Keywords:
end milling, genetic algorithms, machining parameters, optimization, tool path
Topics:
Genetic algorithms, Machining, Milling
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Copyright © 2001 by The American Society of Mechanical Engineers
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