摘要
针对复杂型腔数控加工的刀具组合优选问题,提出了一种基于遗传算法的复杂型腔类零件刀具优化方法.首先通过偏置环算法构建可行的型腔加工刀具集;其次为解决型腔类零件每个特征与整体最优刀具组合的差异性问题,建立以加工效率和刀具成本为优化目标的复杂型腔零件刀具组合优化模型,并通过有向图和改进的遗传算法对多刀具组合优化模型进行求解;最终,以某复杂型腔零件数控加工刀具组合优选为例进行实验,验证了方法的可行性.
To address the optimization of tool combination in the NC machining of complex pockets,we propose a tool optimization method for complex pocket parts based on the genetic algorithm in this study.First,a feasible tool set for pocket machining is constructed by an offset loop algorithm.Secondly,with machining efficiency and tool cost as the optimization objective,an optimization model of tool combination for complex pocket parts is established to decrease the difference between each feature of the pocket parts and the overall optimal tool combination.Furthermore,a directed graph and an improved genetic algorithm are developed to solve the optimization model of tool combination.Finally,the feasibility of the proposed method is verified by testing the optimization of NC machined tool combination for a complex pocket part.
作者
杨昌尧
黄瑞
蒋俊锋
陈正鸣
YANG Chang-Yao;HUANG Rui;JIANG Jun-Feng;CHEN Zheng-Ming(Key Laboratory of Graphics,Images,and Orthopedic Implants of Changzhou City,Hohai University,Changzhou 213022,China)
出处
《计算机系统应用》
2021年第5期176-183,共8页
Computer Systems & Applications
基金
国家自然科学基金(52075148,51875474)
装备预研领域基金(61409230102-3)
中央高校基本科研业务费专项资金(2016B03214)。
