钛合金TC4高速切削刀具磨损的有限元仿真

doi:10.7527/S1000-6893.2013.0306

材料工程与机械制造

本期目录 | 过刊浏览 | 高级检索

前一篇 | 后一篇

钛合金TC4高速切削刀具磨损的有限元仿真

陈燕¹, 杨树宝², 傅玉灿¹, 徐九华¹, 苏宏华¹

1. 南京航空航天大学机电学院, 江苏南京 210016;
2. 安徽工业大学机械工程学院, 安徽马鞍山 243032

收稿日期:2013-04-12 修回日期:2013-06-13 出版日期:2013-09-25 发布日期:2013-06-21
通讯作者: 陈燕,Tel.:025-84895930 E-mail:ninaych@nuaa.edu.cn E-mail:ninaych@nuaa.edu.cn
作者简介:陈燕女, 博士, 副教授。主要研究方向: 难加工材料高效精密加工技术。Tel: 025-84895930 E-mail: ninaych@nuaa.edu.cn;杨树宝男, 博士, 讲师。主要研究方向: 难加工材料高效精密加工技术。Tel: 0555-2316517 E-mail: sbyang2007 @nuaa.edu.cn;傅玉灿男, 博士, 教授, 博士生导师。主要研究方向: 难加工材料高效精密加工技术。Tel: 025-84895857 E-mail: yucanfu@nuaa.edu.cn;徐九华男, 博士, 教授, 博士生导师。主要研究方向: 难加工材料高效精密加工技术。Tel: 025-84896511 E-mail: jhxu@nuaa.edu.cn;苏宏华男, 博士, 教授, 博士生导师。主要研究方向: 难加工材料高效精密加工技术。Tel: 025-84892901 E-mail: shh@nuaa.edu.cn
基金资助:
国家自然科学基金(50775115)

FEM Estimation of Tool Wear in High Speed Cutting of Ti6Al4V Alloy

CHEN Yan¹, YANG Shubao², FU Yucan¹, XU Jiuhua¹, SU Honghua¹

1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
2. School of Mechanical Engineering, Anhui University of Technology, Ma'anshan 243032, China

Received:2013-04-12 Revised:2013-06-13 Online:2013-09-25 Published:2013-06-21
Supported by:
National Natural Science Foundation of China (50775115

摘要/Abstract

摘要：

借助有限元方法对切削钛合金时硬质合金刀具的磨损进行了仿真。首先,根据钛合金切削时刀具磨损机理,建立了能够综合反映粘结磨损、扩散磨损及磨粒磨损的磨损率模型;通过增大传热系数、平滑节点磨损值等方法,解决了刀具磨损过程中切削温度场的仿真、内部网格的调整及刀具表面轮廓的光滑处理等一系列问题,结合磨损子程序建立了预测刀具磨损的有限元模型。然后,通过切削实验对有限元模型的有效性进行了验证,结果表明:所建立的有限元模型能够较准确的预测刀具前刀面磨损及其磨损形貌。最后,对高速切削钛合金条件下的刀具耐用度进行了预测,预测结果表明:随着速度的增加,刀具会快速磨损,切削速度为300 m/min时刀具寿命仅为130 m/min时的1/3。因此,切削速度的选择要综合考虑切削效率与刀具寿命这两个因素。

关键词: 高速切削, 钛合金, 刀具磨损, 有限元, 磨损率模型

Abstract:

By adopting the finite element method (FEM), the tool wear is simulated during the cutting of titanium alloy with a carbide tool. First, a wear rate model, which includes the abrasive wear, diffusion wear and adhesion wear, is built according to the tool wear mechanism during the cutting. Then a series of problems in tool wear simulation are solved such as the simulation of the cutting temperature field, adjustment of internal mesh, and the smoothing of tool geometry. Subsequently, an FEM wear prediction model is built and computed in combination with a wear subroutine. The validity of the finite element model is confirmed by cutting tests, which show that the tool rake face wear and wear morphology can be accurately predicted by the finite element model. Finally, tool life is predicted under the conditions of high-speed cutting of titanium alloys. The prediction results show that the cutting tools wear rapidly with the increase of the cutting speed. For example, the tool life with a cutting speed of 300 m/min is only one third of that with a speed of 130 m/min. Therefore, it is important to consider both cutting efficiency and tool life simultaneously in the selection of a cutting speed.

Key words: high speed cutting, titanium alloys, tool wear, FEM, wear rate model

中图分类号:

陈燕, 杨树宝, 傅玉灿, 徐九华, 苏宏华. 钛合金TC4高速切削刀具磨损的有限元仿真[J]. 航空学报, 2013, 34(9): 2230-2240.

CHEN Yan, YANG Shubao, FU Yucan, XU Jiuhua, SU Honghua. FEM Estimation of Tool Wear in High Speed Cutting of Ti6Al4V Alloy[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013, 34(9): 2230-2240.

参考文献

[1] Arrazola P J, Garay A, Iriarte L M, et al. Machinability of titanium alloys (Ti6Al4V and Ti555.3). Journal of Materials Processing Technology, 2009, 209(5): 2223- 2230.

[2] Yang X, Liu R C. Machining titanium and its alloys. Machining Science and Technology, 1999, 3(1): 107-139.

[3] Su H H, Liu P, Fu Y C, et al. Tool life and surface integrity in high-speed milling of titanium alloy TA15 with PCD/PCBN tools. Chinese Journal of Aeronautics,2012, 25(5): 784-790.

[4] Taylor F W. On the art of cutting metals. New York: The American Society of Mechanical Engineers, 1907: 31-35.

[5] Hastings W F, Mathew P, Oxley P L B, et al. Estimated cutting temperatures their use as a predictor of tool performance when machining plain carbon steels. Proceedings of the 20th International Machine Tool Design and Research Conference, 1979: 313-320.

[6] Usui E, Shirakashi T, Kitagawa T. Analytical predication of cutting tool wear. Wear, 1984, 100(1-3): 129-151.

[7] Takeyama H, Murata R. Basic investigation of tool wear. Journal of Engineering for Industry, 1963, 85 (1): 33-37.

[8] Kitagawa T, Maekawa K, Shirakashi T, et al. Analytical prediction of flank wear of carbide tools in turning plain carbon steels (Part 1) characteristic equation of flank wear. Bulletin of the Japan Society of Precision Engineering, 1988, 22 (4): 263-269.

[9] Yen Y C, Sohner J, Lilly B, et al. Estimation of tool wear in orthogonal cutting using the finite element analysis. Journal of Materials Processing Technology, 2004, 146(1): 82-91.

[10] Xie L J, Schmidt J, Schmidt C, et al. 2D FEM estimate of tool wear in turning operation. Wear, 2005, 258(10): 1479-1490.

[11] Attanasio A, Ceretti E, Rizzuti S, et al. 3D finite element analysis of tool wear in machining. CIRP Annals-Manufacturing Technology, 2008, 57(1): 61-64.

[12] Attanasio A, Ceretti E, Fiorentino A, et al. Investigation and FEM-based simulation of tool wear in turning operations with uncoated carbide tools. Wear, 2010, 269(5-6): 344-350.

[13] Filice L, Umbrello D, Micari F. FE analyses of tool wear in orthogonal cutting. Proceedings of the Second International Conference on Tribology in Manufacturing Processes, 2004: 187-194.

[14] Filice L, Micari F, Settineri L, et al. Wear modeling in mild steel orthogonal cutting when using uncoated carbide tools. Wear, 2007, 262(5-6): 545-554.

[15] Wang M. Studies on tool wear in milling of titanium alloys. Nanjing: Nanjing Aeronautical Institute, 1985. (in Chinese) 王珉. 钛合金铣削加工中刀具磨损的研究. 南京: 南京航空学院, 1985.

[16] Rabinowicz E, Dunn L A, Russell P G. A study of abrasive wear under three-body conditions. Wear, 1961, 4(5): 345-355.

[17] Archard J F. Contact and rubbing of flat surfaces. Journal of applied physics, 1953, 24(8): 981-988.

[18] Childs T. Metal machining: theory and applications. London: Butterworth-Heinemann, 2000: 77-79.

[19] Shi D F. FEM simulation of tool wear in high speed cutting of titanium alloy Ti6Al4V with hydrogen treatment. Nanjing: College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics & Astronautics, 2010. (in Chinese) 史德峰. 置氢钛合金TC4高速切削刀具磨损有限元仿真分析. 南京: 南京航空航天大学机电学院, 2010.

[20] Yang S B, Xu J H, Wei W H, et al. Impact of hydrogenation on flow behavior of Ti6Al4V alloy. Acta Aeronautica et Astronautica Sinica, 2010, 31(5): 1093-1098. (in Chinese) 杨树宝, 徐九华, 危卫华,等. 置氢处理对TC4钛合金流变行为的影响. 航空学报, 2010, 31(5): 1093-1098.

[21] Zorev N N. Inter-relationship between shear processes occurring along the tool face and shear plane in metal cutting. International Research in Production Engineering, New York: The American Society of Mechanical Engineers, 1963: 42-49.

[22] Kloche F, Raedt H W, Hoppe S. 2D-FEM simulation of the orthogonal high speed cutting process. Machining Science and Technology, 2001, 5(3):323-340.

[23] Umbrello D. Finite element simulation of conventional and high speed machining of Ti6Al4V alloy. Journal of Materials Processing Technology, 2008, 196(1-3): 79-87.

[24] Wei W H, Fundamental research on machinability of titanium alloy by thermohydrogen treatment. Nanjing: College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics & Astronautics, 2010. (in Chinese) 危卫华. 热氢处理改善钛合金切削加工性的基础研究. 南京: 南京航空航天大学机电学院, 2010.

E-mail：hkxb@buaa.edu.cn

关于我们

期刊社服务

专业学科

封面文章

友情链接

主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

钛合金TC4高速切削刀具磨损的有限元仿真

FEM Estimation of Tool Wear in High Speed Cutting of Ti6Al4V Alloy

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	李晖, 吕海宇, 邹泽煜, 罗忠, 马辉, 韩清凯. 热环境下纤维增强复合材料圆柱壳非线性振动分析与验证[J]. 航空学报, 2022, 43(9): 425642-425642.
[2]	吴志渊, 闫寒, 吴林潮, 马辉, 瞿叶高, 张文明. 旋转裂纹叶片-弹性轮盘耦合系统振动特性[J]. 航空学报, 2022, 43(9): 625442-625442.
[3]	罗圣峰, 王光健, 马小斌, 郑丽丽, 汪瑞军. 钛液滴作用下钛合金薄片火蔓延的数值模拟[J]. 航空学报, 2022, 43(9): 425652-425652.
[4]	张子瑜, 郝林. 扩展有限元法在断裂力学相场模型中的应用[J]. 航空学报, 2022, 43(9): 225976-225976.
[5]	曹毅, 孟刚, 居勇健, 徐伟胜. 考虑伴生转动的大行程柔性微定位平台[J]. 航空学报, 2022, 43(7): 425498-425498.
[6]	余煜玺, 张伟彬, 孙轶, 丛明辉, 朱建, 宋经远. 动密封用Ni基合金斜圈弹簧的变形行为及回弹力模拟[J]. 航空学报, 2022, 43(7): 425527-425527.
[7]	曹勇, 张超. 薄层复合材料冲击损伤行为研究进展[J]. 航空学报, 2022, 43(6): 525323-525323.
[8]	刘知辉, 牛军川, 贾睿昊. 热梯度环境下梁高频振动的能量流模型[J]. 航空学报, 2022, 43(5): 425336-425336.
[9]	肖贵坚, 刘帅, 贺毅, 刘岗, 朱升旺, 宋沙雨. 钛合金激光砂带加工的离焦控制与表面形貌[J]. 航空学报, 2022, 43(4): 525603-525603.
[10]	彭振龙, 张翔宇, 张德远. 航空航天难加工材料高速超声波动式切削方法[J]. 航空学报, 2022, 43(4): 525587-525587.
[11]	蔡晋, 闫雪, 李威, 孟庆勋. 基于DEM-FEM耦合的超声喷丸强化数值分析[J]. 航空学报, 2022, 43(4): 525925-525925.
[12]	陈波, 孟正, 马程远, 席鑫, 王昕欣, 檀财旺, 宋晓国. 扫描振镜激光TC4钛合金焊接性能及熔池流动行为[J]. 航空学报, 2022, 43(4): 525223-525223.
[13]	于成月, 刘波, 李传政, 薛闯. 复合材料卫星承力筒连接结构分析[J]. 航空学报, 2022, 43(3): 225161-225161.
[14]	刘浩, 陈玉华, 章文滔. Ti/Al无针搅拌摩擦搭接点焊接头组织特征[J]. 航空学报, 2022, 43(2): 624680-624680.
[15]	杨夏炜, 彭冲, 马铁军, 温国栋, 王艳莹, 柴小霞, 徐雅欣, 李文亚. 高温合金线性摩擦焊接头疲劳裂纹扩展有限元分析[J]. 航空学报, 2022, 43(2): 625004-625004.