Selection of Optimal Machining Parameters using a Genetic Algorithm

Author

K. Krishnamurthy, Missouri University of Science and TechnologyFollow
Lei Yan

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.

Recommended Citation

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.

Meeting Name

ASME International Mechanical Engineering Congress and Exposition (2001: Nov. 11-16, New York, NY)

Department(s)

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)

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2001 American Society of Mechanical Engineers (ASME), All rights reserved.

Publication Date

16 Nov 2001