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 …
A review of flank wear prediction methods for tool condition monitoring in a turning process
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 …
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 …
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 …
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
operations. However, there is not any unchallengeable agreement on a certain method …