Artificial intelligence systems for tool condition monitoring in machining: Analysis and critical review

DY Pimenov, A Bustillo, S Wojciechowski… - Journal of Intelligent …, 2023 - Springer
The wear of cutting tools, cutting force determination, surface roughness variations and other
machining responses are of keen interest to latest researchers. The variations of these …

[HTML][HTML] Tool condition monitoring techniques in milling process—A review

T Mohanraj, S Shankar, R Rajasekar… - Journal of Materials …, 2020 - Elsevier
The most important improvement in metal the cutting industry is the continuous utilization of
cutting tools and tool condition monitoring system. In the metal cutting process, the tool …

Milling force model for aviation aluminum alloy: academic insight and perspective analysis

Z Duan, C Li, W Ding, Y Zhang, M Yang, T Gao… - Chinese journal of …, 2021 - Springer
Aluminum alloy is the main structural material of aircraft, launch vehicle, spaceship, and
space station and is processed by milling. However, tool wear and vibration are the …

Development of tool condition monitoring system in end milling process using wavelet features and Hoelder's exponent with machine learning algorithms

T Mohanraj, J Yerchuru, H Krishnan, RSN Aravind… - Measurement, 2021 - Elsevier
An effort was made to monitor the flank wear using wavelet analysis by extracting the
Hoelder's exponent as a feature and using various machine learning algorithms to forecast …

Data-driven remaining useful life estimation for milling process: sensors, algorithms, datasets, and future directions

S Sayyad, S Kumar, A Bongale, P Kamat, S Patil… - IEEE …, 2021 - ieeexplore.ieee.org
An increase in unplanned downtime of machines disrupts and degrades the industrial
business, which results in substantial credibility damage and monetary loss. The cutting tool …

Tribo-informatics approaches in tribology research: A review

N Yin, Z **ng, K He, Z Zhang - Friction, 2023 - Springer
Tribology research mainly focuses on the friction, wear, and lubrication between interacting
surfaces. With the continuous increase in the industrialization of human society, tribology …

Development of deep belief network for tool faults recognition

AP Kale, RM Wahul, AD Patange, R Soman… - Sensors, 2023 - mdpi.com
The controlled interaction of work material and cutting tool is responsible for the precise
outcome of machining activity. Any deviation in cutting parameters such as speed, feed, and …

Cutting tool wear prediction in machining operations, a review

M Soori, B Arezoo - Journal of New Technology and Materials, 2022 - asjp.cerist.dz
In the machining process, tool wear is an unavoidable reason for tool failure. Tool wear has
an impact on not just tool life but also the quality of the finished product in terms of …

Application of machine vision for tool condition monitoring and tool performance optimization–a review

T Banda, AA Farid, C Li, VL Jauw, CS Lim - The International Journal of …, 2022 - Springer
Rapid tool wear is a major concern of the machining operation, affecting the tooling cost and
dimensional tolerance of the components. In line with Industry 4.0, rapid tool failure can be …

Multi-condition identification in milling Ti-6Al-4V thin-walled parts based on sensor fusion

R Wang, Q Song, Z Liu, H Ma, Z Liu - Mechanical Systems and Signal …, 2022 - Elsevier
Chatter and tool wear always coexist during the milling of Ti-6Al-4V thin-walled parts, while
the boundary characteristics, time-varying, modal coupling, and position dependence …