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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 …
Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth
Nowadays, face milling is one of the most widely used machining processes for the
generation of flat surfaces. Following international standards, the quality of a machined …
generation of flat surfaces. Following international standards, the quality of a machined …
An SVM-based solution for fault detection in wind turbines
Research into fault diagnosis in machines with a wide range of variable loads and speeds,
such as wind turbines, is of great industrial interest. Analysis of the power signals emitted by …
such as wind turbines, is of great industrial interest. Analysis of the power signals emitted by …
Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth
The acceptance of the machined surfaces not only depends on roughness parameters but
also in the flatness deviation (Δ fl). Hence, before reaching the threshold of flatness …
also in the flatness deviation (Δ fl). Hence, before reaching the threshold of flatness …
Improving the accuracy of machine-learning models with data from machine test repetitions
The modelling of machining processes by means of machine-learning algorithms is still
based on principles that are especially adapted to mechanical approaches, in which very …
based on principles that are especially adapted to mechanical approaches, in which very …
Smart optimization of a friction-drilling process based on boosting ensembles
Form and friction drilling techniques are now promising alternatives in light and medium
boilermaking that will very probably supersede conventional drilling techniques, as rapid …
boilermaking that will very probably supersede conventional drilling techniques, as rapid …
Using artificial neural networks for the prediction of dimensional error on inclined surfaces manufactured by ball-end milling
Á Arnaiz-González, A Fernández-Valdivielso… - … International Journal of …, 2016 - Springer
Industrial demand for models and simulation tools that can predict dimensional errors in
manufacturing processes is vigorous. One example of these processes is ball-end finishing …
manufacturing processes is vigorous. One example of these processes is ball-end finishing …
Using artificial intelligence models for the prediction of surface wear based on surface isotropy levels
Currently, a key industrial challenge in friction processes is the prediction of surface
roughness and loss of mass under different machining processes, such as Electro …
roughness and loss of mass under different machining processes, such as Electro …
Prediction and control of surface roughness for the milling of Al/SiC metal matrix composites based on neural networks
G Zhou, C Xu, Y Ma, XH Wang, PF Feng… - Advances in …, 2020 - Springer
In recent years, there has been a significant increase in the utilization of Al/SiC particulate
composite materials in engineering fields, and the demand for accurate machining of such …
composite materials in engineering fields, and the demand for accurate machining of such …
Modeling pulsed laser micromachining of micro geometries using machine-learning techniques
A wide range of opportunities are emerging in the micro-system technology sector for laser
micro-machining systems, because they are capable of processing various types of …
micro-machining systems, because they are capable of processing various types of …