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 …
Review of tool condition monitoring in machining and opportunities for deep learning
Tool condition monitoring and machine tool diagnostics are performed using advanced
sensors and computational intelligence to predict and avoid adverse conditions for cutting …
sensors and computational intelligence to predict and avoid adverse conditions for cutting …
[HTML][HTML] Machine learning and artificial intelligence in CNC machine tools, a review
Abstract Artificial Intelligence (AI) and Machine learning (ML) represents an important
evolution in computer science and data processing systems which can be used in order to …
evolution in computer science and data processing systems which can be used in order to …
[HTML][HTML] The application of ANFIS prediction models for thermal error compensation on CNC machine tools
Thermal errors can have significant effects on CNC machine tool accuracy. The errors come
from thermal deformations of the machine elements caused by heat sources within the …
from thermal deformations of the machine elements caused by heat sources within the …
Multi-sensor information fusion for remaining useful life prediction of machining tools by adaptive network based fuzzy inference system
Remaining useful life (RUL) prediction of machining tools is a typical multi-sensor
information fusion problem. It involves the use of the monitoring information acquired from …
information fusion problem. It involves the use of the monitoring information acquired from …
Estimation of tool wear and optimization of cutting parameters based on novel ANFIS-PSO method toward intelligent machining
L Xu, C Huang, C Li, J Wang, H Liu, X Wang - Journal of Intelligent …, 2021 - Springer
Compacted graphite iron (CGI) plays an important role in contemporary manufacturing of
automobile engine, and coated tool is the best choice for milling of CGI. But studies about …
automobile engine, and coated tool is the best choice for milling of CGI. But studies about …
Prediction of cutting tool wear during milling process using artificial intelligence techniques
An efficient tool condition monitoring system was designed for keyway milling of 7075-T6
hybrid aluminium alloy composite with resultant machining force and sound acquired while …
hybrid aluminium alloy composite with resultant machining force and sound acquired while …
Prediction of cutting temperature in orthogonal machining of AISI 316L using artificial neural network
In this study, an approach based on artificial neural network (ANN) was proposed to predict
the experimental cutting temperatures generated in orthogonal turning of AISI 316L stainless …
the experimental cutting temperatures generated in orthogonal turning of AISI 316L stainless …
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 …