### Tool Optimization for Splicing Die Milling Processes Based on Finite Element Simulation

YUE Caixu;LIU Xin;LIU Zhibo;XIE Na;WANG Yanwu

1. School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin,150080
• Online:2020-09-10 Published:2020-09-30

### 基于有限元仿真的拼接模具铣削用刀具优化

1. 哈尔滨理工大学机械动力工程学院，哈尔滨，150080
• 基金资助:
国家重点研发计划资助项目(2019YFB1704800)；
黑龙江省自然科学基金优秀青年基金资助项目（YQ2019E029）；
哈尔滨理工大学“理工英才”计划杰出青年基金资助项目（LGYC2018JQ015）

Abstract: ABAQUS software was secondary developed to realize splicing die rapid modeling of milling process simulation before treatment. The milling force, stress and cutting tool temperature were simulated, and compared with the milling experiments. Results verify the accuracy of the simulation model. The processes of milling splicing die for ball end milling cutter with different rakes, clearances, helical angles and cutting edge radii were simulated. The structure of milling cutter was optimized by genetic algorithm. The tool wear and workpiece surface quality were compared with the structure parameters after optimization and in tradition, so as to verify the effectiveness of the optimization. Research shows that the secondary development of rapid modeling is successful and the simulation results are accurate. The results provide fundamental basis for reducing manufacturing costs, improving milling tool life and workpiece surface quality.

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