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Title:Optimization on laser cutting process path based on bidirectional ant colony algorithm
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ClassificationCode:TH164
year,vol(issue):pagenumber:2020,45(11):30-35
Abstract:

 To reduce empty stroke and cutting time in laser cutting process, the optimization method of laser cutting process path based on generalized travel salesman model and bidirectional ant colony algorithm was proposed. Then, the concepts of cutting profile and feature point were built, and the generalized travel salesman model of cutting path optimization was built based on cutting profile and feature point. Furthermore, the bidirectional ant colony algorithm was put forward by introducing new guiding information to traditional ant colony algorithm, and for the particularity of laser cutting path, the guiding information of searching ant colony in forward and reverse directions was designed respectively. In order to avoid knife-touching problem, the certainty rules of alternative city set was specified. Finally, the experiment was executed on the layout plate. And compared with the cutting path planned by traditional ant colony algorithm, the empty stroke of cutting path planned by the bidirectional ant colony algorithm decreases by 16.44%, and the cutting time decreases by 3.18%, which proves the validity and priority of bidirectional ant colony algorithm.

 
Funds:
山东省重点研发计划项目(2019GGX105001);山东省博士后创新项目专项资金项目(201702038)
AuthorIntro:
王娜(1983-),女,硕士,副教授 E-mail:st6md3@163.com
Reference:

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