Home
Editorial Committee
Brief Instruction
Back Issues
Instruction to Authors
Submission on line
Contact Us
Chinese

  The journal resolutely  resists all academic misconduct, once found, the paper will be withdrawn immediately.

Title:Optimization on laser cutting process path based on ant colony algorithm
Authors:  
Unit:  
KeyWords:  
ClassificationCode:TH16;TG458
year,vol(issue):pagenumber:2019,44(4):69-72
Abstract:

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.

 

Funds:
工信部智能制造专项子课题(工信厅装函[2017]468号)
AuthorIntro:
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
Reference:

[1]徐路宁,王霄,张永康.激光切割板材的工艺处理[J].应用激光,2002, 22(6):533-538.


Xu L N, Wang X, Zhang Y K. Technological treaments of laser cutting for sheet [J]. Applied Laser, 2002, 22(6): 533-538.


[2]毕华丽. 激光切割技术中工艺技术的试验研究[D].大连:大连理工大学,2006.


Bi H L. Experiment Research on Key Technology of Laser Cutting Technology [D]. Dalian: Dalian University of Technology, 2006.


[3]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.


[4]郭华锋,李菊丽,孙涛.激光切割技术的研究进展[J].徐州工程学院学报:自然科学版, 2015,30(4):71-78.


Guo H F, Li J L, Sun T. On the research progress of laser cutting technology [J]. Journal of Xuzhou Institute of Technology: Natural Science Edition, 2015, 30 (4): 71-78.


[5]Vladimir Dimitrijevi, Zoran ari. An efficient transformation of the generalized traveling salesman problem into the traveling salesman problem on digraphs[J]. Information Sciences, 1997, 102(1-4): 105-110.


[6]Oysu C, Bingul Z. Application of heuristic and hybrid-GASA algorithms to tool-path optimization problem for minimizing airtime during machining[J]. Engineering Applications of Artificial Intelligence, 2009, 22(3):389-396.


[7]谭阳. 求解广义旅行商问题的若干进化算法研究[D]. 广州:华南理工大学, 2013.


Tan Y. The Study of Several Evolutionary Algorithms for Solving Generalized Travelling Salesman Problem[D]. Guangzhou: South China University of Technology, 2013.


[8]Gong B C, Jiang T Y, Xu S Z, et al. An improved ant colony algorithm based on path optimization strategy for TSP[J]. Applied Mechanics and Materials, 2014, 543-547: 1681-1684.


[9]孙鑫. 二维激光切割路径优化研究[D]. 武汉: 华中科技大学, 2012.


Sun X. Research on Path Optimization of Two Dimension Laser-cutting[D]. Wuhan:Huazhong University of Science and Technology, 2012.


[10]Marco Dorigo, Luca Maria Gambardella. Ant colonies for the travelling salesman problem[J]. BioSystems, 1997, 43(2): 73-81.


[11]郭平, 鄢文晋. 基于TSP问题的蚁群算法综述[J].计算机科学, 2007, 34(10):181-184,194.


Guo P, Yan W J. The review of ant colony algorithm based on TSP [J]. Computer Science, 2007, 34 (10): 181-184,194.


[12]刘天孚,程如意.带精英策略和视觉探测蚁群算法的机器人路径规划[J].计算机应用,2008, 28(1):92-93, 96.


Liu T F, Cheng R Y. Ant algorithm with elitist strategy and vision detection for mobile robot path planning [J]. Journal of Computer Applications, 2008, 28 (1): 92-93, 96.




 

Service:
This site has not yet opened Download Service】【Add Favorite
Copyright Forging & Stamping Technology.All rights reserved
 Sponsored by: Beijing Research Institute of Mechanical and Electrical Technology; Society for Technology of Plasticity, CMES
Tel: +86-010-62920652 +86-010-82415085     Fax:+86-010-62920652
Address: No.18 Xueqing Road, Beijing 100083, P. R. China
 E-mail: fst@263.net    dyjsgg@163.com