This paper proposes an architecture and system modules for a big data analytics platform to
implement smart factories in small and medium-sized enterprises. The big data analytics …

Artificial neural networks (ANNs) have recently gained popularity as useful models for
grouping, clustering, and analysis in a wide range of fields. An ANN is a kind of machine …

The present work establishes a correlation between the laser transmission welding
parameters and output variables though a nonlinear model, developed by applying artificial …

This study analyzes variations in metal removal rate (MRR) and quality performance of
roughness average (R a) and corner deviation (CD) depending on parameters of wire …

Data-driven quality control techniques are being actively developed for implementation in
smart factories. Quality prediction during manufacturing processes is a good example of how …

On the way to building smart factories as the vision of Industry 4.0, the casting process
stands out as a specific manufacturing process due to its diversity and complexity. One of the …

Among the industrial activities sand casting process still remains as one of the most complex
and indefinite activities. Due to the complex relationship between casting defects and green …

Artificial Neural Network (ANN) approach was used for predicting and analyzing the
mechanical properties of A413 aluminum alloy produced by squeeze casting route. The …

Die sinking–electrochemical spark machining (DS–ECSM) is one of the hybrid machining
processes, combining the features of electrochemical machining (ECM) and electro …

The employment of aluminum based metal matrix composites are exponentially growing up
in wide range of applications in automobiles. The prevailing demand to produce refined …