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 …

Review of tool condition monitoring in machining and opportunities for deep learning

G Serin, B Sener, AM Ozbayoglu, HO Unver - The International Journal of …, 2020 - Springer
Tool condition monitoring and machine tool diagnostics are performed using advanced
sensors and computational intelligence to predict and avoid adverse conditions for cutting …

Systematic review on tool breakage monitoring techniques in machining operations

X Li, X Liu, C Yue, SY Liang, L Wang - International Journal of Machine …, 2022 - Elsevier
Tool condition monitoring (TCM) in machining operations is crucial to maximise the useful
tool life while reducing the risks associated with tool breakage. Unlike progressive tool wear …

A review of indirect tool condition monitoring systems and decision-making methods in turning: Critical analysis and trends

M Kuntoğlu, A Aslan, DY Pimenov, ÜA Usca, E Salur… - Sensors, 2020 - mdpi.com
The complex structure of turning aggravates obtaining the desired results in terms of tool
wear and surface roughness. The existence of high temperature and pressure make difficult …

[BOOK][B] The Control Handbook (three volume set)

WS Levine - 2018 - taylorfrancis.com
At publication, The Control Handbook immediately became the definitive resource that
engineers working with modern control systems required. Among its many accolades, that …

[HTML][HTML] Application of measurement systems in tool condition monitoring of Milling: A review of measurement science approach

DY Pimenov, MK Gupta, LRR da Silva, M Kiran… - Measurement, 2022 - Elsevier
Milling is a high-performance method that allows an efficient machining of both flat and
complexly shaped surfaces. During the milling process, the cutting tool (cutters), its cutting …

Tool wear predicting based on multi-domain feature fusion by deep convolutional neural network in milling operations

Z Huang, J Zhu, J Lei, X Li, F Tian - Journal of intelligent manufacturing, 2020 - Springer
Tool wear monitoring has been increasingly important in intelligent manufacturing to
increase machining efficiency. Multi-domain features can effectively characterize tool wear …

Review of tool condition monitoring methods in milling processes

Y Zhou, W Xue - The International Journal of Advanced Manufacturing …, 2018 - Springer
Accurate tool condition monitoring (TCM) is essential for the development of fully automated
milling processes. However, while considerable research has been conducted in industrial …

Health assessment and life prediction of cutting tools based on support vector regression

T Benkedjouh, K Medjaher, N Zerhouni… - Journal of intelligent …, 2015 - Springer
The integrity of machining tools is important to maintain a high level of surface quality. The
wear of the tool can lead to poor surface quality of the workpiece and even to damage of the …

The concept and progress of intelligent spindles: a review

H Cao, X Zhang, X Chen - International Journal of Machine Tools and …, 2017 - Elsevier
Intelligent spindles are core components of the next-generation of intelligent/smart machine
tools in the Industry 4.0 Era. The purpose of this paper is to clarify the concept of intelligent …