锻压技术

一种钣金件数控激光切割路径的优化改进方法

英文标题：An improved optimization method for NC laser cutting path of sheet metal parts

作者：李丽武照云鱼鹏飞程洋洋

单位：河南职业技术学院

分类号：TP391

出版年,卷(期):页码：2020,45(10):41-46

摘要：

针对钣金件数控激光切割路径优化方法存在的不足的问题，以无孔且不共边的钣金件数控激光切割路径优化问题为研究对象，阐述了切割路径优化问题的本质与优化目标。分析了传统算法中串行切割约束规则的缺点，提出了基于交叉切割的零件切割约束规则。在零件轮廓线段离散化处理的基础上，建立了切割路径优化的数学模型，进而将问题转化为零件轮廓线段的顺序选择问题。采用蚁群算法对该问题进行求解计算，给出了算法原理和步骤。最后，通过仿真实验验证了该方法的可行性与有效性。该方法可以有效地提高钣金件数控激光切割的路径优化效果以及加工效率。

Considering the deficiencies in the optimization method of NC laser cutting path for sheet metal part, for the NC laser cutting path optimization problem of sheet metal parts without hole and common edge, the essence and optimization goal of cutting path optimization problem were presented. Then, the disadvantage of serial cutting constraint rule in the traditional algorithm was analyzed, and the cutting constraint rule of parts with cross cutting was proposed. Based on the discretization processing of contour lines of parts, the mathematical model of cutting path optimization was established, and the problem was converted into the sequence selection problem of contour lines of parts. Furthermore, the above problem was solved by the ant colony algorithm, and the principle and steps of algorithm were obtained. Finally, the feasibility and effectiveness of the proposed method were verified by the simulation test, and the path optimization effect and machining efficiency of NC laser cutting for sheet metal parts were effectively improved through this method.

基金项目：

河南省高等学校青年骨干教师培养计划项目（2018GGJS224）；河南省科技攻关计划项目（192102310447，192102210053）；河南省高等学校重点科研项目（19A210009，20B210001）；河南工业大学河南省省属高校基本科研业务费专项资金资助项目（2016RCJH02）

李丽(1982-)，女，硕士，副教授 E-mail：cflw2006@163.com 通讯作者：武照云（1981-），男，博士，副教授 E-mail：wzhaoyun@163.com

参考文献：

［1］李泳，张宝峰. 复杂轮廓激光切割路径优化算法的研究
［J］. 天津理工大学学报, 2007, 23(3): 76-79.

Li Y, Zhang B F. Study on optimization algorithm of laser cutting path for complex contours
［J］. Journal of Tianjin University of Technology, 2007, 23(3): 76-79.

［2］Han G C, Na S J. A study on torch path planning in laser cutting processes part 2: Cutting path optimization using simulated annealing
［J］. Journal of Manufacturing Processes, 1999, 1(1): 62-70.

［3］Castelino K, Souza R D, Wright P K. Tool path optimization for minimizing airtime during machining
［J］. Journal of Manufacturing Systems, 2002, 22(3): 173-180.

［4］Pan M, Rao Y. An integrated knowledge based system for sheet metal cuttingpunching combination processing
［J］. KnowledgeBased Systems, 2009, (22): 368-375.

［5］刘会霞，王霄，蔡兰. 钣金件数控激光切割割嘴路径的优化
［J］. 计算机辅助设计与图形学学报, 2004, 16(5): 660-665.

Liu H X, Wang X, Cai L. Torch path optimization for NC laser cutting of sheet metal part
［J］. Journal of ComputerAided Design & Computer Graphics, 2004, 16(5): 660-665.

［6］孙慧平，李健，郭伟刚. 遗传算法在束流切割路径优化中的应用
［J］. 农业机械学报, 2008, 39(9): 158-160,165.

Sun H P, Li J, Guo W G. Application of genetic algorithm on optimization of high power beam cutting paths
［J］. Transactions of the Chinese Society for Agricultural Machinery, 2008, 39(9): 158-160,165.

［7］李妮妮，陈章位，陈世泽. 基于局部搜索和遗传算法的激光切割路径优化
［J］. 计算机工程与应用, 2010, 46(2): 234-236,239.

Li N N, Chen Z W, Chen S Z. Optimization of laser cutting path based on local search and genetic algorithm
［J］. Computer Engineering and Applications, 2010, 46(2): 234-236,239.

［8］侯普良, 刘建群,高伟强.基于改进蚁群算法的激光切割加工路径优化研究
［J］.机电工程,2019,36(6):653-657.

Hou P L, Liu J Q, Gao W Q. Optimization of laser cutting path based on improved ant colony algorithm
［J］. Journal of Mechanical & Electrical Engineering, 2019,36(6):653-657.

［9］李世红, 袁跃兰,刘绅绅,等.基于蚁群算法的激光切割工艺路径优化
［J］.锻压技术,2019, 44(4):69-72，77.

Li S H, Yuan Y L, Liu S S, et al. Optimization on laser cutting process path based on ant colony algorithm
［J］. Forging & Stamping Technology, 2019, 44(4): 69-72,77.

［10］李坚. 平面切割路径规划与优化研究
［D］.广州：广东工业大学,2017.

Li J. Planning and Optimization of Planar Cutting Path
［D］. Guangzhou: Guangdong University of Technology,2017.

［11］赵锦涛. 船体零件切割路径优化技术及工程应用
［D］.大连：大连理工大学,2015.

Zhao J T. Hull Parts Cutting Route Optimization and Its Application
［D］. Dalian: Dalian University of Technology, 2015.

［12］黄永青，梁昌勇，张祥德. 基于均匀设计的蚁群算法参数设定
［J］. 控制与决策, 2006, 21(1):93-96.

Huang Y Q, Liang C Y, Zhang X D. Parameter establishment of an ant system based on uniform design
［J］. Control and Decision, 2006, 21(1):93-96.

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