• 论文 •    

基于改进遗传算法求取加工自由曲面的最大刀具尺寸

赵世田,赵东标,付莹莹,刘凯   

  1. 1.南京航空航天大学 机电学院,江苏南京210016;2.德州学院 机电工程系,山东德州253023
  • 出版日期:2011-02-25 发布日期:2011-02-25

Maximum cutter size calculating for free-form surface machining based on improved genetic algorithm

ZHAO Shi-tian, ZHAO Dong-biao, FU Ying-ying, LIU Kai   

  1. 1.College of Mechanical & Electrical Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China; 2.Department of Mechanical & Electrical, Dezhou University, Dezhou 253023, China
  • Online:2011-02-25 Published:2011-02-25

摘要: 为选取合适的加工刀具尺寸以对自由曲面实现无曲率干涉加工,提出了改进遗传算法并应用于自由曲面全局最大主曲率求取,确定无曲率干涉最大刀具尺寸。根据主曲率特点设计了一种新的非线性自适应度函数,避免算法过早收敛于局部最优值,并给出了新的复制原则。改进遗传算法应用算例分析表明,该算法在500代内能有效求取自由曲面全局最大主曲率,比传统的离散法效率高,选择的最大刀具尺寸满足自由曲面加工无曲率干涉加工的要求。

关键词: 自由曲面, 遗传算法, 适应度函数

Abstract: To select appropriate cutter size so as to realize free-form surface machining with no curvature interference, an Improved Genetic Algorithm (IGA) was proposed and applied in global maximum principal curvature calculating of free-form surface and maximum cutter size identifying with no curvature interference. A novel non-linear adaptive fitness function was designed according to principal curvature features, which could avoid trapping in local convergence. New selection rules of units to be copied were also given. Application of IGA showed that the global maximum principal curvature of free-form surface could be calculated effectively within 500 generations and the efficiency was higher than that of the discrete method. The cutter size selected according to the global maximum principal curvature was proper for free-form surface machining with no curvature interference.

Key words: free-form surface, genetic algorithms, fitness function, machining cutter

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