A Novel Method for Tool Wear Prediction in Titanium Milling by Simulink Feedback Method 基于Simulink反馈方法的钛合金铣削刀具磨损预测

Ding，Baoyang1; Bai，Qian1; Liu，Julong1; Zhang，Bi2

2019-06-05

10.3901/JME.2019.11.224

机械工程学报   影响因子和分区

0577-6686

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.

Milling Simulink Titanium alloy Tool wear Wear model

EI

中文

其他

科学挑战专题(JCKY2016212A506-0101)%国家自然科学基金(51605077)%中央高校基本科研业务费(DUT17JC01)

Editorial Office of Chinese Journal of Mechanical Engineering

20193907477230

Aerospace industry ; Aluminum alloys ; Forecasting ; High strength alloys ; Milling (machining) ; Ternary alloys ; Thermal conductivity ; Titanium alloys ; Vanadium alloys ; Wear of materials

Metallurgy:531.1 ; Aluminum Alloys:541.2 ; Titanium and Alloys:542.3 ; Vanadium and Alloys:543.6 ; Machine Tool Accessories:603.2 ; Machining Operations:604.2 ; Thermodynamics:641.1 ; Materials Science:951

2-s2.0-85072604656

Scopus

jxgcxb201911027

1.Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of EducationDalian University of Technology,Dalian,116024,China
2.Department of Mechanical and Energy EngineeringSouthern University of Science and Technology,Shenzhen,518055,China

Ding，Baoyang,Bai，Qian,Liu，Julong,等. A Novel Method for Tool Wear Prediction in Titanium Milling by Simulink Feedback Method 基于Simulink反馈方法的钛合金铣削刀具磨损预测[J]. 机械工程学报,2019,55(11):224-232.

Ding，Baoyang,Bai，Qian,Liu，Julong,&Zhang，Bi.(2019).A Novel Method for Tool Wear Prediction in Titanium Milling by Simulink Feedback Method 基于Simulink反馈方法的钛合金铣削刀具磨损预测.机械工程学报,55(11),224-232.

Ding，Baoyang,et al."A Novel Method for Tool Wear Prediction in Titanium Milling by Simulink Feedback Method 基于Simulink反馈方法的钛合金铣削刀具磨损预测".机械工程学报 55.11(2019):224-232.