重庆理工大学学报(自然科学) ›› 2024, Vol. 38 ›› Issue (1): 237-247.

• 机械材料 • 上一篇    下一篇

基于Pareto控制的多目标PSO算法在铣削参数优化中的应用

王奇,陈曦,刘海妹,赵彻,徐波   

  1. 常州工学院航空与机械工程学院,上海交通大学机械系统与振动国家重点实验室
  • 出版日期:2024-02-07 发布日期:2024-02-07
  • 作者简介:王奇,男,博士,讲师,主要从事绿色制造与智能制造研究,Email:wangq@czu.cn;通信作者陈曦,女,博士,讲师,主要从事智能制造与加工过程数据处理研究,Email:chenx@czu.cn。

Application of multi-objective PSO algorithm based on Pareto control in milling parameter optimization

  • Online:2024-02-07 Published:2024-02-07

摘要: 工艺参数是影响零件加工质量和效率的关键因素,工艺参数的优化和调节是改善加工工艺的最有效方法。针对铣削加工参数优化问题,提出了一种基于应用实例的多目标切削参数优化方法。首先,以材料去除率、切削力和刀具寿命为目标函数,建立了统一的切削工艺参数多目标优化数学模型。随后,使用切削数据对目标函数进行组合,建立了该问题的数学模型,研究了适用的求解方法以获得最优解,并通过实验验证了参数优化的有效性。该方法可为加工参数的选择提供指导和依据。

关键词: 铣削, 参数优化, 刀具寿命, Pareto控制的粒子群优化

Abstract: Process parameters are key factors affecting the quality and efficiency of part processing, and optimizing and adjusting process parameters is the most effective way to improve the processing technology. In this paper, a multi-objective cutting parameter optimization method based on application examples is proposed for the optimization of milling processing parameters. First, a unified mathematical model for multi-objective optimization of cutting process parameters is built, with material removal rate, cutting force, and tool life as objective functions. Second, the objective functions are combined by employing cutting data. A mathematical model of the problem is built, and applicable solutions are investigated to obtain the optimal one. The effectiveness of parameter optimization is verified through experiments. The proposed method may provide some references for the selection of machining parameters.

中图分类号: 

  • TH111