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 …
A review of the recent development in machining parameter optimization
The optimization process is applied to the machining operations in order to provide
continual improvement in accuracy and quality of produced parts. The effects of machining …
continual improvement in accuracy and quality of produced parts. The effects of machining …
Artificial neural network systems
Artificial Neural Networks is a calculation method that builds several processing units based
on interconnected connections. The network consists of an arbitrary number of cells or …
on interconnected connections. The network consists of an arbitrary number of cells or …
Design of experiments and focused grid search for neural network parameter optimization
The present work offers some contributions to the area of surface roughness modeling by
Artificial Neural Networks (ANNs) in machining processes. It proposes a method for an …
Artificial Neural Networks (ANNs) in machining processes. It proposes a method for an …
Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method
Machine parts during their useful life are significantly influenced by surface roughness
quality. The machining process is more complex, and therefore, it is very hard to develop a …
quality. The machining process is more complex, and therefore, it is very hard to develop a …
Prediction of surface roughness in hard turning under high pressure coolant using Artificial Neural Network
In this study, an artificial neural network (ANN) based predictive model of average surface
roughness in turning hardened EN 24T steel has been presented. The prediction was …
roughness in turning hardened EN 24T steel has been presented. The prediction was …
A systematic development method for cyber-physical machine tools
Abstract Machine Tool 4.0 introduces a new generation of machine tools that are smarter,
well connected, widely accessible, more adaptive and more autonomous. Cyber-Physical …
well connected, widely accessible, more adaptive and more autonomous. Cyber-Physical …
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 …
On the prediction of surface roughness in the hard turning based on cutting parameters and tool vibrations
This research work concerns the elaboration of a surface roughness model in the case of
hard turning by exploiting the response surface methodology (RSM). The main input …
hard turning by exploiting the response surface methodology (RSM). The main input …
Advanced data collection and analysis in data-driven manufacturing process
The rapidly increasing demand and complexity of manufacturing process potentiates the
usage of manufacturing data with the highest priority to achieve precise analyze and control …
usage of manufacturing data with the highest priority to achieve precise analyze and control …