Journal of Chongqing University of Technology(Natural Science) ›› 2024, Vol. 38 ›› Issue (1): 237-247.

• Machinery and materials • Previous Articles     Next Articles

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

  

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

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.

CLC Number: 

  • TH111