基于人工鱼群和粒子群优化混合算法的侧铣刀轴轨迹规划

中国机械工程

基于人工鱼群和粒子群优化混合算法的侧铣刀轴轨迹规划

刘红军1;魏宇祥2

1.沈阳航空航天大学机电工程学院，沈阳，110136
2.沈阳航空航天大学研究生院，沈阳，110136

出版日期:2018-12-06 发布日期:2018-12-06
基金资助:
辽宁省自然科学基金资助项目（2013024017）
Liaoning Provincial Natural Science Foundation of China （No. 2013024017）

Tool Axis Trajectory Plannings for Flank Milling Based on AFS-PSO Hybrid Algorithm

LIU Hongjun1;WEI Yuxiang2

1.School of Mechatronic Engineering,Shenyang Aerospace University,Shenyang,110136
2.Graduate School,Shenyang Aerospace University,Shenyang,110136

Online:2018-12-06 Published:2018-12-06
Supported by:
Liaoning Provincial Natural Science Foundation of China （No. 2013024017）

摘要/Abstract

摘要： 针对圆锥刀侧铣加工非可展直纹面的刀轴轨迹规划问题，采用两点偏置法确定初始刀轴矢量，为评价单个刀位，提出了单刀位下的误差度量函数，即刀轴上各点到非可展直纹面的距离与对应各点到圆锥面的距离差值的平方和最小。为解决每个刀位下的位姿寻优问题，提出了基于人工鱼群（AFS）和粒子群优化（PSO）混合算法的优化方案。仿真结果表明，所提方法在单刀位下的优化过程简单，结果精度高，优化后位姿集合形成的刀具包络误差小。

关键词: 侧铣加工, 非可展直纹面, 人工鱼群和粒子群优化混合算法, 刀轴轨迹规划

Abstract: Aiming at the tool axis trajectory plannings for flank milling non-developable ruled surfaces with conical milling tools, two point offset method was used to determine the initial cutter axis vector, an error metric function under single tool position was proposed to evaluate single cutter position, the square sum of differences between the distance from each point of the cutter axis to the non developable ruled surfaces and the distance from each point of the cutter axis to the cone surfaces was minimum. In order to solve the problem of position optimization for each cutter position, an optimization scheme was proposed based on AFS-PSO hybrid algorithm. The simulation results show that the proposed method may provide simple optimization processes and high precision results for single tool position optimization, which reduces the surface envelope errors of optimized tool formed by pose collection.

Key words: flank milling, non-developable ruled surface, artificial fish swarm and particle swarm optimization(AFS-PSO) hybrid algorithm, tool axis trajectory planning

中图分类号:

TP391

刘红军1;魏宇祥2. 基于人工鱼群和粒子群优化混合算法的侧铣刀轴轨迹规划[J]. 中国机械工程.

LIU Hongjun1;WEI Yuxiang2. Tool Axis Trajectory Plannings for Flank Milling Based on AFS-PSO Hybrid Algorithm[J]. China Mechanical Engineering.

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