摘要
为缩短笔式加工时间和提高加工效率,提出了一种新的基于遗传算法的刀具路径优化方法。笔式加工的特点决定了生成的刀具路径为一系列离散的切削路径段,为了精简搜索数目,将每段刀具路径看作两个遗传基因。使用十进制码构造分段染色体模型,采用改进的遗传算法对笔式加工分段路径进行优化排序,得到刀具路径排布的近似最优解。实验结果表明:改进的自适应遗传算法比一般遗传算法搜索速度提高若干倍,可以明显缩短加工路径的总长度。
To reduce the processing time and improve the efficiency of pencil-cut machining,a new method of tool paths optimization for pencil-cut machining using a genetic algorithm is presented.Based on the characteristic of the pencil-cut tool path,the tool paths are classified as a series of discrete tool paths.In order to condense the data points,each path is decided by two points.A decimal sectional chromosome model was constructed.Improved crossover operator of the genetic algorithm was used for optimal computation of the cutting paths,and an approximate optimal solution was achieved for tool paths.The experimental results show that the method is faster sometimes than the unimproved genetic algorithm for finding the optimal solution.The method can shorten the total length of auxiliary movement paths and reduce the processing time of machining.
出处
《机械科学与技术》
CSCD
北大核心
2010年第5期646-650,共5页
Mechanical Science and Technology for Aerospace Engineering
关键词
笔式加工
遗传算法
刀具轨迹优化
pencil-cut
genetic algorithm
tool path optimizing
