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 …

A review of flank wear prediction methods for tool condition monitoring in a turning process

A Siddhpura, R Paurobally - The International Journal of Advanced …, 2013 - Springer
Flank wear is the most commonly observed and unavoidable phenomenon in metal cutting
which is also a major source of economic loss resulting due to material loss and machine …

Integrated tool condition monitoring systems and their applications: a comprehensive review

C Nath - Procedia Manufacturing, 2020 - Elsevier
In conventional metal cutting, different tool wear modes, and their individual deterioration
rates play vital roles in overall production performance. For a given tool (ie, geometry or …

Tool wear prediction in Ti-6Al-4V machining through multiple sensor monitoring and PCA features pattern recognition

A Caggiano - Sensors, 2018 - mdpi.com
Machining of titanium alloys is characterised by extremely rapid tool wear due to the high
cutting temperature and the strong adhesion at the tool-chip and tool-workpiece interface …

Application of backpropagation neural network for spindle vibration-based tool wear monitoring in micro-milling

WH Hsieh, MC Lu, SJ Chiou - The International Journal of Advanced …, 2012 - Springer
This study develops a micro-tool condition monitoring system consisting of accelerometers
on the spindle, a data acquisition and signal transformation module, and a backpropagation …

[HTML][HTML] Online damage detection of cutting tools using Dirichlet process mixture models

CT Wickramarachchi, TJ Rogers, TE McLeay… - … Systems and Signal …, 2022 - Elsevier
The ability to monitor and predict tool deterioration during machining is an important goal
because the state of wear has a significant influence on the surface quality of machined …

[PDF][PDF] 13.22—Review of sensor applications in tool condition monitoring in machining

MSH Bhuiyan, IA Choudhury - Comprehensive Materials …, 2014 - researchgate.net
Tool condition monitoring (TCM) can be defined as a process of watching the performance
of a cutting tool during machining to observe the damages occurred to it by the responsible …

Tool wear prediction based on multi-information fusion and genetic algorithm-optimized Gaussian process regression in milling

Z Huang, J Shao, W Guo, W Li, J Zhu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Tool wear condition monitoring plays a crucial role in intelligent manufacturing systems to
enhance machining quality and efficiency. The indirect methods employ various sensor …

Sparse representation and its applications in micro-milling condition monitoring: noise separation and tool condition monitoring

K Zhu, B Vogel-Heuser - The International Journal of Advanced …, 2014 - Springer
This paper presents a new approach for cutting force denoising in micro-milling condition
monitoring. In micro-milling, the comparatively small cutting force signal is contaminated by …

Analyzing the performance of artificial neural network (ANN)-, fuzzy logic (FL)-, and least square (LS)-based models for online tool condition monitoring

A Salimiasl, A Özdemir - The International Journal of Advanced …, 2016 - Springer
There are various methods to model the cutting processes and tool life in machining
operations. However, there is not any unchallengeable agreement on a certain method …