• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2019, Vol. 55 ›› Issue (11): 224-232.doi: 10.3901/JME.2019.11.224

• 制造工艺与装备 • 上一篇    

基于Simulink反馈方法的钛合金铣削刀具磨损预测

丁宝洋1, 白倩1, 刘具龙1, 张璧2   

  1. 1. 大连理工大学精密与特种加工教育部重点实验室 大连 116024;
    2. 南方科技大学机械与能源工程系 深圳 518055
  • 收稿日期:2018-09-22 修回日期:2019-03-20 出版日期:2019-06-05 发布日期:2019-06-05
  • 通讯作者: 白倩(通信作者),女,1982年出生,副教授。主要研究方向为切削机理及增减材复合制造。E-mail:baiqian@dlut.edu.cn
  • 作者简介:丁宝洋,男,1991年出生。主要研究方向为增减材复合制造及刀具磨损。E-mail:450273010@qq.com;刘具龙,男,1993年出生,硕士研究生。主要研究方向为增减材复合制造及切削热。E-mail:1332782930@qq.com;张璧,男,1957年出生,教授。主要研究方向为精密与超精密加工及增减材复合制造。E-mail:zhangb@sustc.edu.cn
  • 基金资助:
    科学挑战专题(JCKY2016212A506-0101)、国家自然科学基金(51605077)和中央高校基本科研业务费(DUT17JC01)资助项目。

A Novel Method for Tool Wear Prediction in Titanium Milling by Simulink Feedback Method

DING Baoyang1, BAI Qian1, LIU Julong1, ZHANG Bi2   

  1. 1. Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian 116024;
    2. Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen 518055
  • Received:2018-09-22 Revised:2019-03-20 Online:2019-06-05 Published:2019-06-05

摘要: 钛合金因其突出的综合性能广泛应用于航空航天领域,然而由于其难加工性,在钛合金切削过程中极易产生刀具磨损,所带来的加工精度低、表面质量差等现象严重影响钛合金的切削效率及经济效益。因此建立合理的钛合金铣削磨损模型对实际加工生产具有重大的指导意义。考虑了实际切削加工过程中的热力耦合条件,基于磨粒、黏结、扩散三种磨损机理,结合磨损过程铣削刀具的几何形状改变,利用Simulink软件进行反馈仿真预测,获得后刀面磨损带曲线;并通过实际铣削试验进行刀具寿命试验,对仿真模型的可靠性进行验证。结果表明,该方法可以较好地预测刀具后刀面磨损带长度随时间的变化,整体预测误差在22%以下。该研究提高了刀具磨损带的计算精度,并为切削参数的合理选择提供理论基础。

关键词: Simulink, 刀具磨损, 磨损模型, 钛合金, 铣削

Abstract: Titanium alloy Ti6Al4V is widely used in the aviation and aerospace industry. However, this material is typically difficult-to-machine due to its intrinsic characteristics, such as poor thermal conductivity, high strength at elevated temperature, etc. A novel method is proposed to predict tool wear in machining of the titanium alloy. In this method, a thermo-mechanically-coupled tool wear model, consisting of abrasion, adhesion and diffusion mechanisms, is implemented in the Simulink software. The geometric features of a worn-tool are updated at different wear stages in the simulation. Tool wear prediction is conducted and validated by milling experiments under various milling conditions. The results show that the proposed method can well predict the extent of the tool flank wear, and the relative error between the experimental and the prediction results is within 22%. This study offers a guidance to the determination of tool life and optimization of process parameters in a machining process.

Key words: milling, Simulink, titanium alloy, tool wear, wear model

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