Research on Robot Processing Path Optimization for Multi-contour

Authors

Xianlun Wang, College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266061, China;
Yu Yang, College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266061, China;
Yuxia Cui, College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266061, China;

Abstract

Abstract: The problem of robot processing path optimization for multi-contour parts was studied, and a new path planning algorithm based on the improved genetic algorithm and the minimum external triangle method was proposed. The genetic algorithm based on modified circle was applied to optimize the cutting path which selected arbitrarily, and an optimal contour sequence was found. The minimum external triangle method was used to seek the node as the tool entrance on each adjacent contour dynamically, and an optimal cutting path was constructed through several iterations in this way. Simulation results show that the cutting path for robot can be constructed effectively and the non-cutting path can be shortened by using the proposed algorithm.

Recommended Citation

Wang, Xianlun; Yang, Yu; and Cui, Yuxia (2020) "Research on Robot Processing Path Optimization for Multi-contour," Journal of System Simulation: Vol. 29: Iss. 2, Article 16.
DOI: 10.16182/j.issn1004731x.joss.201702016
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss2/16

First Page

355

Revised Date

2015-08-18

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201702016

Last Page

359

CLC

TP391.9

Recommended Citation

Wang Xianlun, Yu Yang, Cui Yuxia. Research on Robot Processing Path Optimization for Multi-contour[J]. Journal of System Simulation, 2017, 29(2): 355-359.

DOI

10.16182/j.issn1004731x.joss.201702016