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基于蚁群算法的激光切割工艺路径优化
英文标题:Optimization on laser cutting process path based on ant colony algorithm
作者:李世红 袁跃兰 刘绅绅 饶运清 
单位:贵州交通职业技术学院 华中科技大学 
关键词:切割工艺 路径优化 蚁群算法 广义旅行商问题 切割工艺约束 
分类号:TH16;TG458
出版年,卷(期):页码:2019,44(4):69-72
摘要:

切割工艺路径规划是影响钣金激光切割效率的关键问题之一,钣金件的激光切割工艺路径优化问题可以转化为带有约束条件的广义旅行商问题(GTSP)。为了保证钣金激光切割质量、提高切割效率,在进行切割路径规划时必须满足顺着切、不跨区域切割、走空程时尽量不经过已切割区域等工艺要求。建立了以上述工艺要求为约束、以空行程最短为目标的优化模型。在算法设计与实现上,首先通过建立零件信息的预处理机制进行工艺约束处理,然后运用蚁群算法进行模型求解,最后通过实际算例证明了该方法的有效性,即能够在满足工艺约束的前提下获得较优的切割路径。

 

Path planning of cutting process is one of the key problems of affecting the laser cutting efficiency for sheet metal, and the path optimization problem of laser cutting process for sheet metal part can be transformed into a generalized traveling salesman problem GTSPwith constraints. In order to ensure the laser cutting quality and efficiency, some technological requirements such as cutting along one direction, not cutting across the regions and going through the empty space as far as possible without passing through the cut area should be met during cutting path planning. And an optimization model with the above process requirements as the constraints and the shortest idle path as the target was established. In algorithm design and implementation, firstly, the processing of process constraints was achieved by setting up the pre-processing mechanism of part information, and then the above model was solved by ant colony algorithm. Finally, a case test shows that this method is effective, that is, the optimal cutting path can be obtained under the premise of satisfying the process constraints.

 

基金项目:
工信部智能制造专项子课题(工信厅装函[2017]468号)
作者简介:
李世红(1967-),女,工学学士,讲师 E-mail:1293998325@qq.com 通讯作者:饶运清(1968-),男,博士,教授 E-mail:ryq@hust.edu.cn
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