The application of friction stir welding (FSW) is growing owing to the omission of difficulties
in traditional welding processes. In the current investigation, artificial neural network (ANN) …

Abstract Friction Stir Welding (FSW) has been paid more attention in recent years due to its
efficiency in welding materials that are difficult to weld by conventional fusion welding …

The objective of this work was to investigate the mechanical properties in order to
demonstrate the feasibility of friction stir welding for joining Al 6061 aluminum alloy welding …

An artificial neural network (ANN) model was developed for the analysis and simulation of
the correlation between the friction stir welding (FSW) parameters of aluminum (Al) plates …

The effect of parameters involved in prediction of mechanical properties of Friction Stir
Welding have been investigated in this study through modeling. For this purpose, the friction …

An artificial neural network (ANN) model was developed for the analysis and simulation of
the correlation between the friction stir welding (FSW) parameters of aluminium (Al) plates …

Friction stir welding has been successfully performed on various ferrous and non-ferrous
materials by several researchers and industry people. It was found that 12 mm thick …

A simulation model was developed for the monitoring, controlling and optimization of the
Friction Stir Welding (FSW) process. This approach, using the FSW technique, allows …

The soft computing techniques are nowadays widely used in manufacturing industry for the
modeling and optimization of processes parameters. The soft computing techniques give …

The machine learning methodology is gaining immense exposure as a potential
methodology for solving and modeling manufacturing problems. The present study deals …