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
徐昌鸿 1张树生 2梁嘉宸2
作者信息
- 1. 南京工程学院工业中心,江苏 南京 211167
- 2. 西北工业大学机电学院,陕西 西安 710072
- 折叠
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.
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 Me-dial Axis Transform(MAT)was adopted to represent the tool paths of a pocket feature,and the mapping mecha-nism 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 Algo-rithm(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.
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Key words
information mining/pocket features/roughing tool sequence/optimization and decision/numerical control machinning引用本文复制引用
基金项目
国家自然科学基金(51875474)
江苏省高等学校基础科学自然科学研究项目(23KJB460017)
南京工程学院高层次引进人才科研启动基金(YKJ202128)
出版年
2024
NETL
NSTL
万方数据