钛合金铣削加工刀具磨损有限元预测分析

doi:10.3901/JME.2016.05.193

机械工程学报 ›› 2016, Vol. 52 ›› Issue (5): 193-201.doi: 10.3901/JME.2016.05.193

钛合金铣削加工刀具磨损有限元预测分析

孙玉晶^{1, 2}, 孙杰^{1, 2}, 李剑峰^{1, 2}

1. 山东大学机械工程学院济南 250061;
2. 山东大学高效洁净机械制造教育部重点实验室济南 250061

出版日期:2016-03-05 发布日期:2016-03-05
作者简介:孙玉晶,女,1987年出生,博士研究生。主要研究方向为航空材料高效加工及刀具磨损破损。E-mail：syj2087@163.com;孙杰(通信作者),男,1967年出生,博士,教授,博士研究生导师。主要研究方向高速切削机理、激光加工、大型构件数控加工变形控制与校正、复合材料加工、再制造等。E-mail：sunjie@sdu.edu.cn
基金资助:
*国家自然科学基金资助项目(51275277)

Finite Element Analysis on Prediction of Tool Wear in Milling Titanium

SUN Yujing^{1, 2}, SUN Jie^{1, 2}, LI Jianfeng^{1, 2}

1. School of Mechanical Engineering, Shandong University, Jinan 250061;
2. Key Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education, Shandong University, Jinan 250061)

Online:2016-03-05 Published:2016-03-05

摘要/Abstract

摘要： 钛合金Ti6Al4V因其优良的综合性能在航空航天领域有着广泛的应用。然而,在钛合金切削过程中,极易出现刀具磨损现象。目前尚缺乏钛合金加工用刀具寿命预测的有效手段和方法。针对这一问题,基于刀具在铣削工作过程中受到的热力耦合作用,利用Fick扩散定律揭示了刀具扩散磨损机理,构建刀具磨损模型;利用有限元仿真软件AdvantEdge的二次开发技术,将刀具磨损模型嵌入到有限元模型中,进行刀具磨损的预测;进而借助刀具寿命试验,验证了刀具磨损模型的可靠性。

关键词: Ti6Al4V, 刀具磨损, 磨损模型, 铣削, 有限元

Abstract: Titanium alloy Ti6Al4V is widely used in aircraft industry applications due to excellent performance. However, tool wear is a prominent problem. There is a lack of effective method of tool life prediction for titanium alloy processing. The thermal-mechanical coupling effect for carbide tool wear is discussed and the tool wear model is proposed based on Fick diffusion laws. Finally, the validity of the model is verified by comparing the simulation results obtained from the secondary development AdvantEdge simulation software with the experimental results.

Key words: finite element, milling, Ti6Al4V, tool wear, wear model

中图分类号:

孙玉晶, 孙杰, 李剑峰. 钛合金铣削加工刀具磨损有限元预测分析[J]. 机械工程学报, 2016, 52(5): 193-201.

SUN Yujing, SUN Jie, LI Jianfeng. Finite Element Analysis on Prediction of Tool Wear in Milling Titanium[J]. Journal of Mechanical Engineering, 2016, 52(5): 193-201.

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钛合金铣削加工刀具磨损有限元预测分析

Finite Element Analysis on Prediction of Tool Wear in Milling Titanium

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