首页|基于Deform仿真和粒子群多目标算法的微结构刀具优化设计

基于Deform仿真和粒子群多目标算法的微结构刀具优化设计

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合理的刀具微结构在铣削过程中能够有效降低铣削力与铣削温度,提高刀具服役寿命.为了得到理论最优的硬质合金刀具微结构参数,需解决铣削H13模具钢过程中存在的大铣削力与高铣削温度等问题.借助De-form软件构建理想状态下的硬质合金铣削模型,进行正交仿真实验研究微结构关键参数对铣削力与铣削温度的影响;以刀具微结构作为优化自变量,最小铣削力与最低铣削温度作为目标函数,构建基于粒子群算法下的多目标优化模型,通过铣削仿真实验进行验证.结果显示,经粒子群多目标算法优化后的刀具微结构参数为R1=300μm,R7=822μm,R22=607μm,理论计算与仿真的最大铣削力和最高铣削温度之间的误差分别为22.93％和5.64％;与原刀相比,最大铣削力与最高铣削温度分别优化了53.15％和4.91％.
Optimization Design of Micro-structure Tool Based on Deform Simulation and Multi-objective Particle Swarm Algorithm
Reasonable tool micro-structure can effectively reduce milling force and milling temperature during mill-ing,and increase tool service life.In order to obtain the optimal micro-structure parameters of carbide cutting tools,the problems of large milling force and high milling temperature in the process of milling H13 die steel are reduced.In this pa-per,Deform software is used to build an ideal carbide milling model,and orthogonal simulation experiments are carried out to study the influence of key parameters of microstructure on milling force and milling temperature.A multi-objective opti-mization model based on particle swarm optimization (PSO) is constructed with the tool micro-structure as the independent variable and the minimum milling force and the minimum milling temperature as the objective function,which is verified by milling simulation experiment.The results show that the optimized tool micro-structure parameters R1=300μm,R7=822μm,R22=607μm are 22.93％ and 5.64％ respectively between the theoretical calculation and the simulation results of the maximum milling force and maximum milling temperature.Compared with the original cutter,the maximum milling force and maximum milling temperature are optimized by 53.15％ and 4.91％,respectively.

micro-structuremilling forcemilling temperaturePSOmulti-objective optimization

任仲伟、邓静、蒋宏婉、袁森

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贵州理工学院机械工程学院

贵州大学机械工程学院

微结构 铣削力 铣削温度 粒子群算法 多目标优化

国家自然科学基金国家自然科学基金贵州省科技计划贵阳市科技计划贵州省"百"层次创新型人才贵州省高等学校工程研究中心

5226505552005118黔科合基础-ZK[2022]重点026筑科合同[2022]2-2号黔科合平台人才-GCC[2023]054黔教技[2023]040号

2024

10.3969/j.issn.1000-7008.2024.07.018

工具技术
成都工具研究所

工具技术

CSTPCD北大核心
影响因子：0.147
ISSN：1000-7008
年,卷(期)：2024.58(7)