Artificial intelligence systems for tool condition monitoring in machining: Analysis and critical review
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 …
machining responses are of keen interest to latest researchers. The variations of these …
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 …
tool life while reducing the risks associated with tool breakage. Unlike progressive tool wear …
A review on micro-milling: recent advances and future trends
Recently, mechanical micro-milling is one of the most promising micro-manufacturing
processes for productive and accurate complex-feature generation in various materials …
processes for productive and accurate complex-feature generation in various materials …
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 …
milling processes. However, while considerable research has been conducted in industrial …
[HTML][HTML] 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 …
machining center. Therefore, it is crucial to monitor the condition of tools during processing …
[HTML][HTML] Identification of tool wear using acoustic emission signal and machine learning methods
P Twardowski, M Tabaszewski, M Wiciak–Pikuła… - Precision …, 2021 - Elsevier
The work concerns the monitoring of the edge condition based on acoustic emission (AE)
signals. The tool edge condition was determined by the wear width on the flank face. The …
signals. The tool edge condition was determined by the wear width on the flank face. The …
Data-driven remaining useful life estimation for milling process: sensors, algorithms, datasets, and future directions
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 …
business, which results in substantial credibility damage and monetary loss. The cutting tool …
ACWGAN-GP for milling tool breakage monitoring with imbalanced data
X Li, C Yue, X Liu, J Zhou, L Wang - Robotics and Computer-Integrated …, 2024 - Elsevier
Tool breakage monitoring (TBM) during milling operations is crucial for ensuring workpiece
quality and minimizing economic losses. Under the premise of sufficient training data with a …
quality and minimizing economic losses. Under the premise of sufficient training data with a …
Tool condition monitoring system: A review
Increasing demands of process automation for un-manned manufacturing attracted many
researchers in the field of on-line monitoring of machining processes. In view of this …
researchers in the field of on-line monitoring of machining processes. In view of this …
Remaining useful life prediction based on health index similarity
Y Liu, X Hu, W Zhang - Reliability Engineering & System Safety, 2019 - Elsevier
Condition-based maintenance and the prediction of the remaining useful life (RUL) of cutting
tools are of crucial importance to reduce unexpected downtime and ensure quality. Our …
tools are of crucial importance to reduce unexpected downtime and ensure quality. Our …