A simulated annealing approach for optimization of multi-pass turning operations
作者:
M.-C. CHEN,
D.-M. TSAI,
期刊:
International Journal of Production Research
(Taylor Available online 1996)
卷期:
Volume 34,
issue 10
页码: 2803-2825
ISSN:0020-7543
年代: 1996
DOI:10.1080/00207549608905060
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
In this paper, an optimization algorithm based on the simulated annealing (SA) algorithm and the Hooke-Jeeves pattern search (PS) is developed for optimization of multi-pass turning operations. The cutting process is divided into multi-pass rough machining and finish machining. Machining parameters are determined to optimize the cutting conditions in the sense of the minimum unit production cost under a set of practical machining constraints. Experimental results indicate that the proposed nonlinear constrained optimization algorithm, named SA/PS, is effective for solving complex machining optimization problems. The SA/PS algorithm can be integrated into a CAPP system for generating optimal machining parameters.
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