钛合金铣削过程刀具前刀面磨损解析建模

doi:10.3901/JME.2021.23.232

机械工程学报 ›› 2021, Vol. 57 ›› Issue (23): 232-240.doi: 10.3901/JME.2021.23.232

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钛合金铣削过程刀具前刀面磨损解析建模

岳彩旭¹, 杜延杰¹, 李晓晨¹, 陈志涛¹, 刘献礼¹, Steven Y.LIANG², Lihui WANG³

1. 哈尔滨理工大学先进制造智能化技术教育部重点试验室哈尔滨 150080;
2. 佐治亚理工学院乔治?W?伍德拉夫机械工程学院亚特兰大 30332 美国;
3. 瑞典皇家理工学院斯德哥尔摩 25175 瑞典

收稿日期:2020-12-31 修回日期:2021-03-01 出版日期:2021-12-05 发布日期:2022-02-28
通讯作者: 岳彩旭(通信作者),男,1982年出生,博士,教授,博士研究生导师。主要研究方向为切削过程智能化、刀具设计技术等。E-mail:yuecaixu@hrbust.edu.cn
作者简介:杜延杰,男,1996年出生,硕士研究生。主要研究方向为铣削刀具磨损。E-mail:lpduyanjie@163.com;李晓晨,男,1994年出生,硕士研究生。主要研究方向为切削过程建模及加工工艺优化。E-mail:2939638270@qq.com;陈志涛,男,1982年出生,博士研究生。主要研究方向为金属切削机理和工艺优化。E-mail:zhitao19@163.com;刘献礼,男,1961年出生,博士,教授,博士研究生导师。主要研究方向为金属切削理论、刀具设计技术、数字化加工技术。E-mail:xlliu@hrbust.edu.cn;Steven Y.LIANG,男,1958年出生,博士,教授,博士研究生导师。主要研究方向为智能制造、超精密加工技术。E-mail:steven.liang@me.gatech.edu;Lihui WANG,男,1959年出生,博士,教授,博士研究生导师。主要研究方向为切削加工工艺规划,分布式工艺系统规划。E-mail:lihui.wang@iip.kth.se
基金资助:
国家重点研发计划（2018YFB2002201）和黑龙江省优秀青年基金（YQ2019E029）资助项目。

Analytical Modeling of Tool Rake Wear in Titanium Alloy Milling Process

YUE Caixu¹, DU Yanjie¹, LI Xiaochen¹, CHEN Zhitao¹, LIU Xianli¹, Steven Y. LIANG², Lihui WANG³

1. Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin 150080;
2. George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta 30332;
3. KTH Royal Institute of Technology, Stockholm 25175, Sweden

Received:2020-12-31 Revised:2021-03-01 Online:2021-12-05 Published:2022-02-28

摘要/Abstract

摘要： 钛合金Ti6Al4V作为典型的航空航天难加工材料，在其铣削过程中硬质合金刀具的磨损会降低加工过程稳定性，进而影响加工效率和已加工表面表面质量。刀具前刀面磨损会导致刀具刃口强度降低，并影响切屑的流向和折断情况。针对前刀面磨损机理进行分析并构建了月牙洼磨损深度预测模型。首先运用解析方法构建了前刀面应力场模型，得到切屑在前刀面滑动过程中的刀具前刀面应力分布情况及磨损位置。基于刀-屑接触关系的基础上建立了前刀面温度场模型。然后，基于所得刀具前刀面应力与温度分布，构建综合考虑磨粒磨损、粘结磨损与扩散磨损的铣刀月牙洼磨损深度预测模型，获得月牙洼磨损预测曲线；结合铣刀月牙洼磨损带沿切削刃方向分布的特点，建立了随时间变化的铣刀前刀面磨损体积预测模型。最后通过试验验证了切削宽度对前刀面磨损的影响规律，预测结果与试验测量值具有较好的吻合性。结果表明随着切削宽度的增加，月牙洼磨损深度及前刀面磨损体积都随之增加。研究结果为钛合金铣削用刀具的设计和切削参数的合理选择提供了理论基础。

关键词: Ti6Al4V, 铣削, 前刀面磨损, 磨损预测, 刀-屑接触关系

Abstract: Titanium alloy Ti6Al4V is a typical aerospace difficult-to-machine material. In the milling process, the wear of cemented carbide tools will reduce the stability of the machining process, thereby affecting the machining efficiency and the surface quality of the machined surface. The tool rake face wear will lead to the decrease of tool edge strength, and affect the flow direction and fracture of chip. The wear mechanism of rake face is analyzed and the prediction model of wear depth of crater groove is constructed. Firstly, the stress field model of the rake face is constructed by using the analytical method, and the stress distribution and wear location of the rake face of the milling tool during the sliding of the chip on rake face are obtained. Based on the contact relationship between tool and chip, the temperature field model of rake face is established. Then, based on the stress and temperature distribution on the rake face of the tool, a prediction model of the crater wear depth of the milling tool considering the abrasion wear, adhesion wear and diffusion wear is constructed, and the prediction curve of the crater wear is obtained. Combined with the distribution characteristics of the crater wear zone along the cutting edge direction of the milling tool, the wear volume prediction model of the milling tool rake face with time variation is established. Finally, the influence of cutting width on rake face wear is verified by experiments, and the predicted results are in good agreement with the experimental measurements. The results show that with the increase of cutting width, the wear depth and the wear volume of rake face also increase. The results of this study provide a theoretical basis for the design of milling tools and the reasonable selection of cutting parameters for titanium alloy milling.

Key words: Ti6Al4V, milling, rake face wear, wear prediction, contact relationship between tool and chip

中图分类号:

TG156

岳彩旭, 杜延杰, 李晓晨, 陈志涛, 刘献礼, Steven Y.LIANG, Lihui WANG. 钛合金铣削过程刀具前刀面磨损解析建模[J]. 机械工程学报, 2021, 57(23): 232-240.

YUE Caixu, DU Yanjie, LI Xiaochen, CHEN Zhitao, LIU Xianli, Steven Y. LIANG, Lihui WANG. Analytical Modeling of Tool Rake Wear in Titanium Alloy Milling Process[J]. Journal of Mechanical Engineering, 2021, 57(23): 232-240.

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钛合金铣削过程刀具前刀面磨损解析建模

Analytical Modeling of Tool Rake Wear in Titanium Alloy Milling Process

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