Multi-objective Optimization of Cutting Performance of Variable Density Micro-texture Ball-end Milling Tool

doi:10.3901/JME.2019.21.221

Abstract

Abstract: In order to study the effect of micro-texture arrangement on the wear resistance and friction reduction mechanism of micro-textured cutting tools, the optimal micro-texture arrangement is studied theoretically, simulated and experimentally. First, the mathematical model and simulation model of micro texture on tool rake face are established. Secondly, the accuracy of the simulation results is verified by experiments. Both simulation and experiment results show that the milling performance of variable density micro-texture ball-end milling cutter is better than that of uniformly distributed density micro-texture ball-end milling cutter. Finally, the fuzzy evaluation method is used to optimize the milling performance of the micro-texture ball-end milling tools. The results show that The milling performance of the micro-textured ball-end milling cutter with the spacing of 200 μm, 150 μm and 175 μm is the best. This research makes the cutter have good wear resistance and abrasion reduction, and improves the machining efficiency and the surface quality of the workpiece.

Key words: micro-texture, ball-end milling tool, variable density, milling performance, multi-objective optimization

CLC Number:

TH113

TONG Xin, YANG Shucai, HE Chunsheng, ZHENG Minli. Multi-objective Optimization of Cutting Performance of Variable Density Micro-texture Ball-end Milling Tool[J]. Journal of Mechanical Engineering, 2019, 55(21): 221-232.

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