[HTML][HTML] Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends

R Binali, M Kuntoğlu, DY Pimenov, ÜA Usca, MK Gupta… - Measurement, 2022 - Elsevier
This review paper summarizes the application of smart manufacturing systems utilized in
drilling and hole machining processes. In this perspective, prominent sensors such as …

[HTML][HTML] Tool wear mechanism, monitoring and remaining useful life (RUL) technology based on big data: a review

Y Zhou, C Liu, X Yu, B Liu, Y Quan - SN Applied Sciences, 2022 - Springer
Tool wear is a key factor affecting many aspects of metal cutting machining, including
surface quality, machining efficiency and tool life. As machining continues to evolve towards …

Research on tool wear prediction based on temperature signals and deep learning

Z He, T Shi, J Xuan, T Li - Wear, 2021 - Elsevier
Tool condition monitoring is an important part of tool prediagnosis and health management
systems. Accurate prediction of tool wear is greatly important for making full use of tool life …

A milling tool wear monitoring method with sensing generalization capability

R Wang, Q Song, Y Peng, P Jin, Z Liu, Z Liu - Journal of Manufacturing …, 2023 - Elsevier
Tool wear monitoring is considered a core technology for next-generation computer
numerical control machine tools. However, differences in the characteristics of acquired …

Abrasive tool wear prediction based on an improved hybrid difference grey wolf algorithm for optimizing SVM

Y Liang, S Hu, W Guo, H Tang - Measurement, 2022 - Elsevier
In the era of intelligent manufacturing, it is necessary to monitor the wear condition of
abrasive tools in real time to prevent the deterioration of workpiece quality due to tool …

Tool wear state recognition based on GWO–SVM with feature selection of genetic algorithm

X Liao, G Zhou, Z Zhang, J Lu, J Ma - The International Journal of …, 2019 - Springer
Tool wear is an important consideration for Computerized Numerical Control (CNC)
machine tools as it directly affects machining precision. To realize the online recognition of …

Multiscale feature extraction from the perspective of graph for hob fault diagnosis using spectral graph wavelet transform combined with improved random forest

X Dong, G Li, Y Jia, K Xu - Measurement, 2021 - Elsevier
The hob forms key component in gear hobbing machine and its health condition directly
affects the reliability and safety of entire machine. This paper proposes a multiscale feature …

Research on tool wear monitoring in drilling process based on APSO-LS-SVM approach

N Chen, B Hao, Y Guo, L Li, MA Khan, N He - The International Journal of …, 2020 - Springer
Tool wear monitoring is deemed as an essential technology of the intelligent manufacturing
to guarantee the processing quality and improve the machining efficiency. In this paper, a …

An intrinsic timescale decomposition-based kernel extreme learning machine method to detect tool wear conditions in the milling process

Z Lei, Y Zhou, B Sun, W Sun - The International Journal of Advanced …, 2020 - Springer
Detecting tool wear conditions in milling process is of significance to enhance the reliability
of machining equipment. However, traditional methods have run into difficulties due to …

Experimental study on dynamic characteristics of axial-torsional coupled percussive drilling

Z Mu, Z Huang, Z Sun, X Wu, G Li, X Song - Journal of Petroleum Science …, 2022 - Elsevier
Axial-torsional coupled percussive drilling is a novel technology to enhance the rate of
penetration (ROP), which takes advantage of both axial and torsional percussive drilling …