工具技术2024,Vol.58Issue(3) :106-110.DOI:10.3969/j.issn.1000-7008.2024.03.018

Ti6Al4V钛合金周铣加工表面应力集中系数预测研究

Prediction of Surface Stress Concentration Factor of Ti6Al4V Titanium Alloy in Peripheral Milling

陈建彬 于家祥 杨东
工具技术2024,Vol.58Issue(3) :106-110.DOI:10.3969/j.issn.1000-7008.2024.03.018

Ti6Al4V钛合金周铣加工表面应力集中系数预测研究

Prediction of Surface Stress Concentration Factor of Ti6Al4V Titanium Alloy in Peripheral Milling

陈建彬 1于家祥 1杨东2
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作者信息

  • 1. 安徽天航机电有限公司
  • 2. 安徽大学机械工程系
  • 折叠

摘要

Ti6Al4V钛合金因优异的力学性能被广泛应用于航空、航天等领域.为了实现材料的抗疲劳加工,从应力集中的角度研究了周铣加工表面形貌对Ti6Al4V钛合金疲劳行为的影响.利用所建立的三维表面形貌预测模型生成铣削表面特征,将从表面形貌预测模型得到的表面粗糙度数据分别集成到Arola-Ramulu模型和有限元模型,计算得到不同加工表面的应力集中系数.结果表明,预测和实测的表面形貌在纹理和剖面上显示出良好的一致性,Ti6Al4V钛合金周铣加工表面的应力集中系数与每齿进给量和径向切削深度呈正相关,与切削速度呈负相关,且对每齿进给量的变化最敏感.

Abstract

Ti6Al4V titanium alloy is widely used in aerospace,aviation and other industries due to its excellent me-chanical properties.In order to realize the anti-fatigue machining of Ti6Al4V titanium alloy,influence of surface topography on the fatigue behavior of Ti6Al4V is examined in terms of the stress concentration.The milling surface characters are gen-erated by a proposed 3D surface topography prediction model.Data obtained from the surface topography prediction model are integrated in two different stress concentration model of the Arola-Ramulu model and finite element model to calculate the stress concentration factor.The presented model is verified using milling experiments.The simulated and measured sur-face topographies show good agreement in their texture and profile.A qualitative analysis revealed that the stress concentra-tion factor of Ti6Al4V in peripheral milling is positively related to the feed per tooth and the radial cutting depth,and nega-tively related to the cutting speed.The stress concentration factor is most sensitive to the variation of the feed per tooth.

关键词

Ti6Al4V钛合金/周铣加工/表面形貌/应力集中系数

Key words

Ti6Al4V titanium alloy/peripheral milling/surface topography/stress concentration factor

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基金项目

安徽省自然科学基金(1908085QE230)

芜湖市重点研发计划项目(2021yf42)

出版年

2024
工具技术
成都工具研究所

工具技术

CSTPCD北大核心
影响因子:0.147
ISSN:1000-7008
参考文献量14
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