中国机械工程2025，Vol.36Issue(5)：986-994,9.DOI:10.3969/j.issn.1004-132X.2025.05.010
基于刀具许用载荷的复杂型腔多刀具优化铣削方法
Multi-tool Optimization Milling Method for Complex Cavities Based on Tool Allowable Loads
摘要
Abstract
For 2.5 D complex cavity CNC rough milling,the existing tool combination selection methods might not adequately consider the actual allowable loads of the tool,and the cutting load changed abruptly when machining with a contour-parallel tool path,which was easy to lead to chip-ping and tool breakage,affecting the safety and efficiency of rough milling.Therefore,a multi-tool optimization milling method was proposed for complex cavities based on tool allowable loads.An opti-mization model for milling efficiency with tool allowable loads as the constraint was established,and the optimal tool combination was selected from the available tool sets based on genetic algorithm.Ac-cording to the selected tool combination,an adaptive machining area division method for complex cav-ities and a trochoidal and contour-parallel hybrid tool path generation method for multi-tool machining were given.A 2.5 D complex cavity rough milling as the object of case analysis,under the tool allowa-ble load constraints the optimal tool combination was selected and the combination of trochoidal and contour-parallel tool path was generated.Finally,the machining comparison results with the trochoidal milling method of NX software shows that the machining efficiency of the proposed method is improved by 25.9%,and the changes of machine loads are smooth during the machining processes,which verifies that the proposed multi-tool optimization milling method is feasible and effective.关键词
数控铣削/复杂型腔/刀具许用载荷/刀具组合优选/摆线-环切混合刀轨Key words
CNC milling/complex cavity/tool allowable load/optimized selection of tool combi-nation/trochoidal and contour-parallel hybrid tool path分类
机械制造引用本文复制引用
韩飞燕,赵一鹏,李洪阳,张浩,王彻,彭先龙,张传伟..基于刀具许用载荷的复杂型腔多刀具优化铣削方法[J].中国机械工程,2025,36(5):986-994,9.基金项目
西安市科技局高校院所科技人员服务企业项目(2024JH-GXFW-0195) （2024JH-GXFW-0195）
陕西省创新人才推进计划-科技创新团队项目(2021TD-27) （2021TD-27）
