华南理工大学学报(自然科学版) ›› 2012, Vol. 40 ›› Issue (1): 58-63.

• 机械工程 • 上一篇    下一篇

基于遗传算法的钣金V 形折弯工序规划方法

王飞 游有鹏   

  1. 南京航空航天大学 机电学院,江苏 南京 210016
  • 收稿日期:2011-07-06 修回日期:2011-09-15 出版日期:2012-01-25 发布日期:2011-12-01
  • 通信作者: 王飞(1981-) ,男,博士生,主要从事钣金数控折弯的工艺设计及回弹控制研究. E-mail:springcall@126.com
  • 作者简介:王飞(1981-) ,男,博士生,主要从事钣金数控折弯的工艺设计及回弹控制研究.
  • 基金资助:

    国家自然科学基金资助项目( 50975144)

Genetic Algorithm-Based Sequence Planning for V-Bending of Sheet Metal

Wang Fei  You You-peng   

  1. College of Mechanical and Electrical Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,Jiangsu,China
  • Received:2011-07-06 Revised:2011-09-15 Online:2012-01-25 Published:2011-12-01
  • Contact: 王飞(1981-) ,男,博士生,主要从事钣金数控折弯的工艺设计及回弹控制研究. E-mail:springcall@126.com
  • About author:王飞(1981-) ,男,博士生,主要从事钣金数控折弯的工艺设计及回弹控制研究.
  • Supported by:

    国家自然科学基金资助项目( 50975144)

摘要: 考虑到合理的钣金折弯工序对于提高加工效率、保证折弯精度有重要影响,对折弯工序进行基于遗传算法的优化设计. 首先分析零件的形状特征信息,提取折弯工序规划中的干涉与精度约束条件,建立工序规划约束条件数据库; 然后将工序规划抽象成一个带约束条件的旅行商问题( TSP) ,并构造优化目标函数; 最后将约束条件引入到遗传算法的交叉与变异当中,利用遗传算法对折弯工序进行优化设计. 结果表明,对于形状相对复杂的工件,该方法能够在合理的时间范围内规划出最优或近似最优的折弯工序.

关键词: 钣金, 工序规划, 约束条件, 遗传算法

Abstract:

As a reasonable bending sequence of sheet metal is important to the bending precision improvement and guarantee,an optimization design of the bending sequence is performed based on the genetic algorithm. In the investigation,first,the constraints of interference and accuracy during the sequence planning are extracted by analyzing the shape feature information of workpieces. Next,a constraint database of sequence planning is established. Then,the bending sequence planning is abstracted into a traveling salesman problem ( TSP) with constraints,and an optimization object function is constructed. Finally,the constraints are introduced in the crossover and mutation operators of the genetic algorithm for the bending sequence optimization. The results show that,for the workpieces with comparatively complex shapes,the proposed method is effective in obtaining optimal or approximate optimal bending sequence within a reasonable time range.

Key words: sheet metal, sequence planning, constraint condition, genetic algorithm

中图分类号: