Evolutionary algorithms for generation and optimization of tool paths

作者: Aydin Nassehi , Wesley Essink , Jack Barclay

DOI: 10.1016/J.CIRP.2015.04.125

关键词:

摘要: Abstract The efficiency of many manufacturing processes is dependent on the properties motion path that an end-effector or cutting tool follows. Consequently, algorithms have been developed for generating such paths with aim optimizing various objectives. In this paper, evolutionary generation continuous investigated to propose a novel method creation and adaptable optimization allows objective be modified without revising algorithm. An example test case based milling sequence objectives has used demonstrate advantages proposed method.

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