標題: Optimizing parameters for machining general continuous forms using genetic algorithm
作者: Su, CT
Chen, MC
交大名義發表
工業工程與管理學系
National Chiao Tung University
Department of Industrial Engineering and Management
關鍵字: machining parameter optimization;constrained nonlinear optimization;turning operations;general continuous form;genetic algorithm
公開日期: 1-Jun-1997
摘要: With the widespread application of CNC (computer numerical control) machines in industry, machining condition optimization becomes an important problem. Turning is one of the most widely used metal removal processes. The formulation of turning optimization model for bar components has been investigated extensively in the literature. However, the machined parts in turning operations frequently have general continuous forms. In this paper, we develop a mathematical model to determine the optimal machining parameters for such turned parts. A genetic algorithm (GA) is applied to find the optimal solution. Finally, numerical examples are given to explain the application of developed model and GA.
URI: http://hdl.handle.net/11536/504
ISSN: 1072-4761
期刊: INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-APPLICATIONS AND PRACTICE
Volume: 4
Issue: 2
起始頁: 103
結束頁: 114
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