Investigation of the Constraints for Optimization of Turning Process by GA with Self-Organizing Adaptive Penalty Strategy(Digital design and digital manufacturing (continued))
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概要
- 論文の詳細を見る
As turning parameter optimization is highly constrained and nonlinear, it is necessary to investigate the suitable penalty strategy in such case. In this work, parameters for single pass turning operation are optimized. Here unit production cost is the objective function and limits of the cutting force, power, surface finish, stability condition, tool-chip interface temperature and available rotational speed in the machine tool are the constraints. The optimum cutting parameters and constraints values obtained by two different approaches: GA with SOAP and GA without SOAP are investigated. The result shows that GA with SOAP performs better than the GA without SOAP. The feasible ratios of the solutions based on different constraints at different generation are also discussed in this paper.
- 一般社団法人日本機械学会の論文
- 2005-10-18
著者
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TANAKA Tomohisa
Dept. Mechanical and Control Engineering, Tokyo Institute of Technology
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SAITO Yoshio
Dept. Mechanical and Control Engineering, Tokyo Institute of Technology
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TANAKA Tomohisa
Mechanical and Control Engineering Department, Tokyo Institute of Technology
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Tanaka Tomohisa
Mechanical And Control Engineering Department Tokyo Institute Of Technology
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Tanaka Tomohisa
Department Of Mechanical And Control Engineering Tokyo Institute Of Technology
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Ahmad Nafis
Department Of Mechanical And Control Engineering Tokyo Institute Of Technology
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AHMAD Nafis
Dept. of Mechanical & Control Engg., Tokyo Institute of Technology
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Saito Yoshio
Department Of Mechanical And Control Engineering Tokyo Institute Of Technology
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