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 indirect tool condition monitoring systems and decision-making methods in turning: Critical analysis and trends
The complex structure of turning aggravates obtaining the desired results in terms of tool
wear and surface roughness. The existence of high temperature and pressure make difficult …
wear and surface roughness. The existence of high temperature and pressure make difficult …
Health assessment and life prediction of cutting tools based on support vector regression
T Benkedjouh, K Medjaher, N Zerhouni… - Journal of intelligent …, 2015 - Springer
The integrity of machining tools is important to maintain a high level of surface quality. The
wear of the tool can lead to poor surface quality of the workpiece and even to damage of the …
wear of the tool can lead to poor surface quality of the workpiece and even to damage of the …
Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction
Reliability of prognostics and health management systems relies upon accurate
understanding of critical components' degradation process to predict the remaining useful …
understanding of critical components' degradation process to predict the remaining useful …
Predicting tool life in turning operations using neural networks and image processing
T Mikołajczyk, K Nowicki, A Bustillo… - Mechanical systems and …, 2018 - Elsevier
A two-step method is presented for the automatic prediction of tool life in turning operations.
First, experimental data are collected for three cutting edges under the same constant …
First, experimental data are collected for three cutting edges under the same constant …
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 …
which is also a major source of economic loss resulting due to material loss and machine …
In-process tool condition monitoring in compliant abrasive belt grinding process using support vector machine and genetic algorithm
Industrial interest in tool condition monitoring for compliant coated abrasives has
significantly augmented in recent years as unlike other abrasive machining processes the …
significantly augmented in recent years as unlike other abrasive machining processes the …
Machine monitoring system: a decade in review
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 …
monitoring as witnessed from the beginning of the new industrial revolution (IR) known as IR …
Tool wear prediction in high-speed turning of a steel alloy using long short-term memory modelling
Tool flank wear prediction is an important factor in the machining process to guarantee
processing quality and machining efficiency. Therefore, monitoring tool wear is vital to obtain …
processing quality and machining efficiency. Therefore, monitoring tool wear is vital to obtain …
A systematic literature review of cutting tool wear monitoring in turning by using artificial intelligence techniques
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 …
worn tools may fail to meet specifications, the machining industries focus on replacement …