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] 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 …

A systematic literature review of cutting tool wear monitoring in turning by using artificial intelligence techniques

L Colantonio, L Equeter, P Dehombreux, F Ducobu - Machines, 2021 - mdpi.com
In turning operations, the wear of cutting tools is inevitable. As workpieces produced with
worn tools may fail to meet specifications, the machining industries focus on replacement …

Indirect monitoring of machining characteristics via advanced sensor systems: a critical review

ME Korkmaz, MK Gupta, Z Li, GM Krolczyk… - … International Journal of …, 2022 - Springer
On-line monitoring of the machining processes provides to detect the amount and type of
tool wear which is critical for the determination of remaining useful lifetime of cutting tool …

Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process

A Gajate, R Haber, R Del Toro, P Vega… - Journal of Intelligent …, 2012 - Springer
Tool wear detection is a key issue for tool condition monitoring. The maximization of useful
tool life is frequently related with the optimization of machining processes. This paper …

Investigation of progressive tool wear for determining of optimized machining parameters in turning

M Kuntoğlu, H Sağlam - Measurement, 2019 - Elsevier
On-line monitoring of tool wear and tool breakage are very important to reduce production
costs through the optimization of machining parameters. Increasing cutting forces affect …

Machine monitoring system: a decade in review

M Iliyas Ahmad, Y Yusof, ME Daud, K Latiff… - … International Journal of …, 2020 - Springer
In recent years, significant advancements have been achieved in the domain of machine
monitoring as witnessed from the beginning of the new industrial revolution (IR) known as IR …

Multi-sensor integration for on-line tool wear estimation through artificial neural networks and fuzzy neural network

RJ Kuo - Engineering Applications of Artificial Intelligence, 2000 - Elsevier
On-line tool wear estimation plays a critical role in industrial automation for higher
productivity and product quality. In addition, an appropriate and timely decision for tool …

Big data oriented smart tool condition monitoring system

K Zhu - Smart Machining Systems: Modelling, Monitoring and …, 2021 - Springer
In the era of rapid development of automation technology, computer technology, and
information technology, CNC machine tools, data acquisition devices, intelligent sensors …

Prediction of tool wear using artificial neural networks during turning of hardened steel

P Twardowski, M Wiciak-Pikuła - Materials, 2019 - mdpi.com
The ability to effectively predict tool wear during machining is an extremely important part of
diagnostics that results in changing the tool at the relevant time. Effective assessment of the …