Research on residual surface stresses and optimization of milling process parameters

Yaohui Zheng; Jingyou Qu

doi:10.1117/12.3006674

26 September 2023 Research on residual surface stresses and optimization of milling process parameters

Yaohui Zheng, Jingyou Qu

Proceedings Volume 12793, International Conference on Mechatronics and Intelligent Control (ICMIC 2023); 1279316 (2023) https://doi.org/10.1117/12.3006674
Event: International Conference on Mechatronics and Intelligent Control (ICMIC2023), 2023, Wuhan, China

Abstract

To study the effect of different milling parameters on residual surface stresses during the milling process of 7075 aluminum alloy, a 2D cutting simulation model was established to simulate the component milling process. Orthogonal experiment was used to investigate the effects of various cutting parameters on residual surface stresses during the milling process, and an empirical formula for predicting residual stresses was obtained. A mathematical model for parameter optimization was established using optimization theory, and genetic algorithms were used to solve the optimization problem. The results showed that spindle speed, feed rate per tooth, milling depth, and milling width each had an impact on milling forces and heat generation, thus affecting residual surface tensile stresses and residual surface compressive stresses. The empirical formula established could predict residual surface stresses well, and the optimized milling parameters obtained through genetic algorithms could improve processing efficiency while reducing residual surface stresses, providing guidance for practical production processing.

Citation Download Citation

Yaohui Zheng and Jingyou Qu "Research on residual surface stresses and optimization of milling process parameters", Proc. SPIE 12793, International Conference on Mechatronics and Intelligent Control (ICMIC 2023), 1279316 (26 September 2023); https://doi.org/10.1117/12.3006674

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