期刊
CIRP ANNALS-MANUFACTURING TECHNOLOGY
卷 57, 期 1, 页码 429-432出版社
ELSEVIER
DOI: 10.1016/j.cirp.2008.03.020
关键词
optimisation; genetic; computer aided manufacturing (CAM)
Efficient machining of material with continuously varying properties, so called gradient material, needs advanced planning of cutting parameters; this is a dynamic optimisation problem. Additionally the manufacturing has to satisfy several constraints in parallel. The parameters are optimised using a new predictive multi-objective optimisation approach based on Genetic Algorithms. The algorithm adapts online to the dynamically varying hardness properties of the material. A model based detailed case study is presented where the optimisation identifies good parameter sets for the machining. The solutions are finally selected based on a desirability function (DF) and heuristics. (C) 2008 CIRP.
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