Cutting Parameters Optimization and Constraints Investigation for Turning Process by GA with Self-Organizing Adaptive Penalty Strategy(<Special Issue>Advanced Manufacturing Technology (II))
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概要
- 論文の詳細を見る
For efficient use of machine tools at optimum cutting condition, it is necessary to find a suitable optimization method, which can find optimum feasible solution rapidly and explain the constraints as well. As the actual turning process parameter optimization is highly constrained and nonlinear, a modified Genetic Algorithm with Self Organizing Adaptive Penalty (SOAP) strategy is used to find the optimum cutting condition and to get clear idea of constraints at the optimum condition. Unit production cost is the objective function while limits of the cutting force, power, surface finish, stability condition, tool-chip interface temperature and available rotational speed in the machine tool are considered as the constraints. The result shows that our approach of GA with SOAP converges quickly by focusing on the boundary of the feasible and in feasible solution space created by constraints and also identifies the critical and non-critical constraints at the optimum condition.
- 一般社団法人日本機械学会の論文
- 2006-06-15
著者
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SAITO Yoshio
Department of General Education,Faculty of Medical Science,Toho University
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TANAKA Tomohisa
Department of 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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Saito Yoshio
Department Of Mechanical And Control Engineering Tokyo Institute Of Technology
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Saito Yoshio
Department Of Electronics And Information Science Kyoto Institute Of Technology
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SAITO Yoshio
Department of Chemistry, Faculty of Science and Technology, Keio Univerisity
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