Optimization of parameters for high-quality and high-efficiency milling global process considering stability constraint

Xuefeng Yang; Wen-an Yang; PengYu Wang; Youpeng You

doi:10.1117/12.2679614

18 July 2023 Optimization of parameters for high-quality and high-efficiency milling global process considering stability constraint

Xuefeng Yang, Wen-an Yang, PengYu Wang, Youpeng You

Author Affiliations +

Proceedings Volume 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023); 127224U (2023) https://doi.org/10.1117/12.2679614
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023, Hangzhou, China

Abstract

Optimization of machining parameters has an important impact on milling efficiency and surface quality. This paper analyzes the change of milling stability with different process parameters, and constructs a 3D stability diagram. Further considering the constraints of machine tool performance, tool life and machining requirements, a multi-objective process parameter optimization model of rough and finish milling machining is established according to the different objectives of different machining stages. Secondly, the particle swarm optimization algorithm is applied to obtain the optimal solution of the model, which includes the axial cutting depth, radial cutting depth, spindle speed and feed rate per tooth in the rough and finish machining stage. Finally, the machining experiment is carried out. Compared with the experimental results based on empirical parameters, the machining time is effectively shortened and the surface quality is improved, which also demonstrate the effectiveness of the proposed method.

Citation Download Citation

Xuefeng Yang, Wen-an Yang, PengYu Wang, and Youpeng You "Optimization of parameters for high-quality and high-efficiency milling global process considering stability constraint", Proc. SPIE 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 127224U (18 July 2023); https://doi.org/10.1117/12.2679614

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