Article
Selection of Optimal Machining Parameters using a Genetic Algorithm
Proceedings of the ASME International Mechanical Engineering Congress and Exposition (2001, New York, NY)
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.
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
11-16-2001
Publication Date
16 Nov 2001
Disciplines
Citation Information
K. Krishnamurthy and Lei 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 (2001) p. 1051 - 1057 Available at: http://works.bepress.com/k-krishnamurthy/28/