基于NSGA-II遗传算法的刀具倒棱结构优化

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中图分类号：TJ712 文献标志码：A文章编号：1006-0316（2025）11-0074-07

Abstract ∵ This paper improves cutting performance by reducing cutting temperature and main cutting force through the optimization of the width and angle of the tool's chamfer.A turning finite element simulation model is established using the DEFORM 3D finite element simulation software.The Response Surface Method （RSM） is employed to design the experiment，and the regresion models are developed to describe the influence of tool chamfer width and angle on main cuting force and cutting temperature. Response surface analysis reveals the impact patterns of chamfer parameters on main cuting force and cutting temperature，and the optimal chamfer parameter combination is calculated using the RSM.Furthermore， a multi-objective optimization model based on the NSGA-II algorithm determins the optimal chamfer width to be 0.129mm and the angle to be 10.045∘ Compared to the results obtained from the response surface optimization， the main cuting force and cutting temperature are futher reduced， validating the superior global optimization capabilityofthe NSGA-I algorithm.

To verify the accuracy of the simulation experiments，a turning experimental platform is constructed. The experimental results are compared with the simulation results with relative errors controlled within 15% ，which confirmstheaccuracy ofthe simulation.

Key words ： chamfer structure ; response surface method ; finite element simulation ; NSGA-II algorithm ; multi-objective optimization

车削刀具倒棱是金属切削加工中的重要环节，直接影响车削加工效率、精度及刀具的耐用性。（剩余6772字）