基于数控工艺信息挖掘的型腔特征粗加工刀具序列优化决策方法

doi:10.13196/j.cims.2023.0058

计算机集成制造系统 ›› 2024, Vol. 30 ›› Issue (3): 1060-1071.DOI: 10.13196/j.cims.2023.0058

基于数控工艺信息挖掘的型腔特征粗加工刀具序列优化决策方法

徐昌鸿¹⁺,张树生²,梁嘉宸²

1.南京工程学院工业中心
2.西北工业大学机电学院

出版日期:2024-03-31 发布日期:2024-04-03
基金资助:
国家自然科学基金资助项目(51875474);江苏省高等学校基础科学(自然科学)研究资助项目(23KJB460017);南京工程学院高层次引进人才科研启动基金资助项目(YKJ202128)。

NC process information mining based roughing tool sequence optimization and decision approach for pocket features

XU Changhong¹⁺,ZHANG Shusheng²,LIANG Jiachen²

1.Industrial Center,Nanjing Institute of Technology
2.School of Mechanical Engineering,Northwestern Polytechnical University

Online:2024-03-31 Published:2024-04-03
Supported by:
Project supported by the National Natural Science Foundation,China (No.51875474),the Jiangsu Provincial Natural Science Foundation of Higher Education,China (No.23KJB460017),and the Scientific Research Foundation for the High-Level Personnel of Nanjing Institute of Technology,China (No.YKJ202128).

摘要/Abstract

摘要： 为有效提升数控加工过程中粗加工刀具的使用效率,提出一种基于数控工艺信息挖掘的型腔特征粗加工刀具序列优化决策方法。首先计算型腔特征的中轴变换表征数控加工的刀具轨迹,探究中轴变换与数控加工的映射机理;然后基于加工规则和中轴变换参数,挖掘隐含在型腔特征中的深层次数控工艺信息;最后综合考虑材料去除量和加工连续性,建立刀具序列决策的多目标优化模型,采用混合蚁群/模拟退火算法进行优化求解。实验结果表明,该方法能够高效、自动生成型腔特征最优粗加工刀具序列,提升企业数控工艺设计智能化水平。

关键词: 信息挖掘, 型腔特征, 粗加工刀具序列, 优化决策, 数控加工

Abstract: To effectively promote the use efficiency of roughing tools during NC machining,a NC process information mining based roughing tool sequence optimization and decision approach for pocket features was presented.The Medial Axis Transform (MAT) was adopted to represent the tool paths of a pocket feature,and the mapping mechanism between MAT and NC machining was elaborated.Based on process rules and parameters of MAT,the deeper NC process information hidden in 3D CAD models was mined.The material removal amount and cutting Consistency were considered synthetically to construct the multi-objective optimization model,and a hybrid Ant Colony Algorithm (ACA) and Simulated Annealing (SA) approach was presented to achieve the global optimal tool sequence.Experimental results showed that the method could achieve highly satisfactory results and promote the intelligence level of NC process planning for entertainments.

Key words: information mining, pocket features, roughing tool sequence, optimization and decision, numerical control machinning

中图分类号:

TP391

徐昌鸿, 张树生, 梁嘉宸. 基于数控工艺信息挖掘的型腔特征粗加工刀具序列优化决策方法[J]. 计算机集成制造系统, 2024, 30(3): 1060-1071.

XU Changhong, ZHANG Shusheng, LIANG Jiachen. NC process information mining based roughing tool sequence optimization and decision approach for pocket features[J]. Computer Integrated Manufacturing System, 2024, 30(3): 1060-1071.

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基于数控工艺信息挖掘的型腔特征粗加工刀具序列优化决策方法

NC process information mining based roughing tool sequence optimization and decision approach for pocket features

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