Review of tool condition monitoring methods in milling processes

被引:3
|
作者
Yuqing Zhou
Wei Xue
机构
[1] Zhejiang University of Technology,College of Mechanical Engineering
[2] Wenzhou University,College of Mechanical Engineering
关键词
Tool condition monitoring; Milling process; Sensors; Feature extraction; Monitoring model;
D O I
暂无
中图分类号
学科分类号
摘要
Accurate tool condition monitoring (TCM) is essential for the development of fully automated milling processes. However, while considerable research has been conducted in industrial and academic settings, the complexity of milling processes continues to complicate the implementation of TCM. This paper presents a review of the state-of-the-art methods employed for conducting TCM in milling processes. The review includes three key components: (1) sensors, (2) feature extraction, and (3) monitoring models for the categorization of cutting tool states in the decision-making process. In addition, the primary strengths and weaknesses of current practices are presented for these three components. Finally, this paper concludes with a list of recommendations for future research.
引用
收藏
页码:2509 / 2523
页数:14
相关论文
共 50 条
  • [11] Vibration singularity analysis for milling tool condition monitoring
    Zhou, Chang'an
    Yang, Bin
    Guo, Kai
    Liu, Jiangwei
    Sun, Jie
    Song, Ge
    Zhu, Shaowei
    Sun, Chao
    Jiang, Zhenxi
    INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2020, 166 (166)
  • [12] Application of measurement systems in tool condition monitoring of Milling: A review of measurement science approach
    Pimenov, Danil Yu.
    Gupta, Munish Kumar
    da Silva, Leonardo R. R.
    Kiran, Maitri
    Khanna, Navneet
    Krolczyk, Grzegorz M.
    MEASUREMENT, 2022, 199
  • [13] Technical data-driven tool condition monitoring challenges for CNC milling: a review
    Shi Yuen Wong
    Joon Huang Chuah
    Hwa Jen Yap
    The International Journal of Advanced Manufacturing Technology, 2020, 107 : 4837 - 4857
  • [14] Artificial Intelligence techniques and Internet of things sensors for tool condition monitoring in milling: A review
    Ferrisi, Stefania
    Ambrogio, Giuseppina
    Guido, Rosita
    Umbrello, Domenico
    MATERIAL FORMING, ESAFORM 2024, 2024, 41 : 2000 - 2010
  • [15] Technical data-driven tool condition monitoring challenges for CNC milling: a review
    Wong, Shi Yuen
    Chuah, Joon Huang
    Yap, Hwa Jen
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 107 (11-12): : 4837 - 4857
  • [16] State-of-the-art methods and results in tool condition monitoring: a review
    Adam G. Rehorn
    Jin Jiang
    Peter E. Orban
    The International Journal of Advanced Manufacturing Technology, 2005, 26 : 693 - 710
  • [17] State-of-the-art methods and results in tool condition monitoring: a review
    Rehorn, AG
    Jiang, J
    Orban, PE
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2005, 26 (7-8): : 693 - 710
  • [18] Cutting tool condition monitoring using eigenfacesTool wear monitoring in milling
    Wolfgang König
    Hans-Christian Möhring
    Production Engineering, 2022, 16 : 753 - 768
  • [19] A preliminary study on a torque sensor for tool condition monitoring in milling
    Tognazzi, F
    Porta, M
    Failli, F
    Dini, G
    AMST '05: ADVANCED MANUFACTURING SYSTEMS AND TECHNOLOGY, PROCEEDINGS, 2005, (486): : 513 - 522
  • [20] Tool condition monitoring in milling using sensor fusion technique
    Shankar, S.
    Mohanraj, T.
    PROCEEDINGS OF MALAYSIAN INTERNATIONAL TRIBOLOGY CONFERENCE 2015, 2015, : 322 - 323