基于金豺狼优化算法的数控切削参数优化  

Numerical Control Cutting Parameter Optimization Based on Golden Jackal Optimization

作　　者：赵飞[1] 王丽娟[2] 任善良 ZHAO Fei;WANG Lijuan;REN Shanliang(Department of Mechanical and Electronic Engineering,Jincheng Vocational and Technical College,Jincheng Shanxi 048000,China;School of Information Engineering,Shengda Economics Trade&Management College of Zhengzhou,Zhengzhou 451191,China;Fifth Military Represent Office of Chongqing District,Chongqing 404000,China)

机构地区：[1]晋城职业技术学院机械与电子工程系,山西晋城048000 [2]郑州升达经贸管理学院信息工程学院,郑州451191 [3]驻重庆地区第五军代室,重庆404000

出　　处：《机械设计与研究》2023年第3期167-170,174,共5页Machine Design And Research

基　　金：国家自然科学基金资助面上项目(61272527);河南省科技厅自然科学项目基金资助(152102210261)。

摘　　要：为提高加工效率、降低生产成本,提出了基于金豺狼优化算法(GJO)的数控切削参数优化新方法。以切削速度和进给量为待优化切削参数,施加功率、切削力、进给量、粗糙度等约束,建立以最大生产率及最低生产成本为目标的优化数学模型。介绍了GJO算法主要原理,给出了方法流程。以复杂曲面且微小滚齿加工为实例,利用GJO对切削参数优化数学模型进行求解,得到最优切削速度和进给量。结果表明:与其余3种方法相比,所提方法的滚齿加工总工时缩短约8%~29%、表面粗糙度降低约0.04μm~0.15μm,加工质量和效率均得到提升。In order to improve machining efficiency and reduce production cost,a new numerical control cutting parameter optimization method based on golden jackal optimization(GJO)is proposed.Firstly,the cutting speed and the feed rate are taken as the cutting parameters to be optimized,and the constraints such as power,cutting force,feed rate and roughness are applied to establish the optimization mathematical model aiming at the maximum productivity and minimum production cost.Secondly,the main principle of the GJO algorithm is introduced,and the flow chart of the method flow is given.Finally,taking complex surface and small hobbing as an example,MSIGJO is used to solve the mathematical model of cutting parameters optimization,and the optimal cutting speed and feed rate are obtained.Compared with the other four methods,the total machining time is shortened by about 8%~29%,the roughness of the hobbed surface is reduced by about 0.04μm~0.15μm,and the machining quality and efficiency are improved.

关 键 词：数控切削 参数优化 加工质量 金豺狼优化算法 

分 类 号：TH164[机械工程—机械制造及自动化]