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 hybrid information model based on long short-term memory network for tool condition monitoring

W Cai, W Zhang, X Hu, Y Liu - Journal of Intelligent Manufacturing, 2020 - Springer
Excessive tool wear leads to the damage and eventual breakage of the tool, workpiece, and
machining center. Therefore, it is crucial to monitor the condition of tools during processing …

Recent Trends, Developments, and Emerging Technologies towards Sustainable Intelligent Machining: A Critical Review, Perspectives and Future Directions

M Asif, H Shen, C Zhou, Y Guo, Y Yuan, P Shao, L Xie… - Sustainability, 2023 - mdpi.com
Intelligent manufacturing is considered among the most important elements of the modern
industrial revolution, which includes digitalization, networking, and the development of the …

Multisensory fusion based virtual tool wear sensing for ubiquitous manufacturing

J Wang, J Xie, R Zhao, L Zhang, L Duan - Robotics and computer …, 2017 - Elsevier
Pervasiveness of ubiquitous computing advances the manufacturing scheme into a
ubiquitous manufacturing era which poses significant challenges on sensing technology …

Tool condition monitoring and remaining useful life prognostic based on a wireless sensor in dry milling operations

C Zhang, X Yao, J Zhang, H Jin - Sensors, 2016 - mdpi.com
Tool breakage causes losses of surface polishing and dimensional accuracy for machined
part, or possible damage to a workpiece or machine. Tool Condition Monitoring (TCM) is …

Tool condition monitoring in milling process using multifractal detrended fluctuation analysis and support vector machine

J Guo, A Li, R Zhang - The International Journal of Advanced …, 2020 - Springer
Tool wear will lead to the reduction of surface quality and machining accuracy. Therefore,
tool condition monitoring is vital to the improvement of industrial production efficiency and …

An imbalanced data learning method for tool breakage detection based on generative adversarial networks

S Sun, X Hu, Y Liu - Journal of Intelligent Manufacturing, 2022 - Springer
Tool breakage in manufacturing procedures can damage machined surfaces and machine
tools. It is crucial to detect tool breakage in time and promptly respond to it. Due to the safety …

Tool wear monitoring for cavity milling based on vibration singularity analysis and stacked LSTM

K Ma, G Wang, K Yang, M Hu, J Li - The International Journal of Advanced …, 2022 - Springer
Tool wear monitoring (TWM) system plays an important role since it ensures the accuracy of
manufacturing and workpiece quality, especially in aerospace manufacturing. Due to the …

An intelligent maintenance decision-making based on cutters economic life

J He, H Gao, S Li, L Guo, Y Lei, A Cao - International Journal of Production …, 2024 - Elsevier
The manufacturing field focuses on the accurate life of machinery equipment and cutters,
that is, processing until the day before “scrap”. However, this is more of an engineer's …

In-process material removal rate monitoring for abrasive belt grinding using multisensor fusion and 2D CNN algorithm

N Wang, G Zhang, L Ren, Y Li, Z Yang - The International Journal of …, 2022 - Springer
In the abrasive belt grinding process, actual material removal is an important parameter that
affects its accuracy. At present, for obtaining the actual material removal, offline …