华南理工大学学报（自然科学版）2025，Vol.53Issue(5)：1-10,10.DOI:10.12141/j.issn.1000-565X.240467
型腔恒负载加工的组合轨迹设计与进给速度优化
Hybrid Toolpath Planning and Feed Rate Optimization for Cavity Machining Under Constant Loads
摘要
Abstract
The CNC machining of molds and various 3D parts involves numerous cavity features,and the design of machining toolpaths directly affects machining quality and efficiency.With the advancements in high-speed milling technology,CNC machines provide the hardware foundation for improving cavity machining efficiency,but they also place higher demands on CAM toolpath design.Traditional CAM toolpaths tend to cause abrupt changes in cutting load when dealing with areas such as cavity corners,slots,and intersections of circular paths.This load instability limits the improvement of feed rate and cutting depth,negatively impacting both machining efficiency and quality.To address these issues,this paper proposes a hybrid toolpath planning and feed rate optimization method aiming at achieving constant load machining for cavities.The method,which is based on a multi-level block structure,first calculates the material removal rate and then divides the machining areas into stable,semi-stable and load fluctuation regions.For different regions,circular toolpaths,feed speed optimization and variable-radius trochoidal paths are comprehensively adopted to ensure smooth load control throughout the machining process.By applying trochoidal paths in areas prone to load fluctuations,sudden load variations can be reduced and stable machining process can be ensured.Experimental results show that the proposed toolpath planning and feed rate optimization method is suitable for generating CAM toolpaths for various complex cavities,with good load stability and better machining quality.关键词
复杂型腔/数控加工/恒负载加工/加工轨迹/进给速度优化Key words
complex cavity/numerical control machining/constant load machining/machining toolpath/feed rate optimization分类
信息技术与安全科学引用本文复制引用
王清辉,王金强,丁雪松,廖昭洋..型腔恒负载加工的组合轨迹设计与进给速度优化[J].华南理工大学学报（自然科学版）,2025,53(5):1-10,10.基金项目
国家重点研发计划项目(2022YFB4500600) （2022YFB4500600）
广东省基础与应用基础研究基金项目(2025A1515011849) （2025A1515011849）
广东省科学院青年人才专项(2024GDASQNRC-0318) （2024GDASQNRC-0318）
广东省科学院发展专项资金项目(2024GDASZH-2024010102) Supported by the National Key Research and Development Program of China(2022YFB4500600)and Guang-dong Basic and Applied Basic Research Foundation(2025A1515011849) （2024GDASZH-2024010102）
