TY - GEN
T1 - Prediction of Milling Tool Wear Based on Digital Simulation
AU - Guo, Chaozhong
AU - Zheng, Wentao
AU - Yan, Jihong
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Computer numerical control (CNC) machine tools are crucial for intelligent manufacturing, and tool wear prediction during their cutting process is essential for ensuring workpiece processing quality and efficiency. This study focuses on the tool wear prediction of milling process based on digital simulation. By combining Solidworks and Abaqus software, three-dimensional models of the cutting tool, tool holder fixture and workpiece are constructed, and multi-physical field dynamic simulation of the milling process is conducted. A tool wear prediction model is introduced to predict the milling tool wear by using the simulation results. The method is validated through experiments set up on a HAAS CNC machining center and demonstrates high accuracy, which effectively addresses the problem of predicting tool wear during machining.
AB - Computer numerical control (CNC) machine tools are crucial for intelligent manufacturing, and tool wear prediction during their cutting process is essential for ensuring workpiece processing quality and efficiency. This study focuses on the tool wear prediction of milling process based on digital simulation. By combining Solidworks and Abaqus software, three-dimensional models of the cutting tool, tool holder fixture and workpiece are constructed, and multi-physical field dynamic simulation of the milling process is conducted. A tool wear prediction model is introduced to predict the milling tool wear by using the simulation results. The method is validated through experiments set up on a HAAS CNC machining center and demonstrates high accuracy, which effectively addresses the problem of predicting tool wear during machining.
KW - Digital simulation
KW - Milling process
KW - Multi-physical field
KW - Tool wear prediction
UR - https://www.scopus.com/pages/publications/85175567672
U2 - 10.1109/ICAC57885.2023.10275291
DO - 10.1109/ICAC57885.2023.10275291
M3 - 会议稿件
AN - SCOPUS:85175567672
T3 - ICAC 2023 - 28th International Conference on Automation and Computing
BT - ICAC 2023 - 28th International Conference on Automation and Computing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th International Conference on Automation and Computing, ICAC 2023
Y2 - 30 August 2023 through 1 September 2023
ER -