材料科学
纹理(宇宙学)
机械加工
端铣
球磨机
耙
钛合金
粒度分布
球(数学)
合金
冶金
机械工程
粒径
计算机科学
几何学
数学
人工智能
工程类
化学工程
图像(数学)
作者
Siqian Yang,L. Liu,Chunsheng He
标识
DOI:10.1080/10910344.2023.2294283
摘要
Considering that after milling titanium alloy with a ball-end milling cutter, the wear degree of different areas of the rake face is different, which indicates that the tool-chip contact conditions in this area are different, and then the micro-texture action mode is different. To improve the effect of micro-texture, this paper establishes a mathematical distribution model of variable distribution density micro-texture based on the two-zone method, builds a variable distribution density micro-texture ball-end milling titanium alloy test platform, studies the influence of variable density micro-texture parameters on tool milling behavior, and optimizes the parameters based on the improved particle swarm optimization algorithm. The results show that the micro-texture with variable distribution density has a positive effect on the milling behavior of the tool. The micro-texture parameters of the stickiness area have the greatest influence on the milling behavior of the tool. A texture parameter is optimized, and the overall milling behavior of the variable density micro-texture TiAlN coated milling cutter is optimal. This study provides a theoretical basis for the design and preparation of variable distribution density micro-textured tools.
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