Neural networks are now a prominent feature of materials science with rapid progress in all
sectors of the subject. It is premature, however, to claim that the method is established …

The quality of a weld primarily depends on the process parameters in any welding process.
The welding parameters influence the weld bead geometry and weld microstructure, which …

An Artificial Neural Network (ANN) model has been applied to the prediction of key weld
geometries produced using Gas Metal Arc Welding (GMAW) with alternating shielding …

The angular distortion and transverse shrinkage are often generated in gas tungsten arc
(GTA) bead-on-plate welding process, which leads to additional costs of rework. Therefore, it …

Angular distortions are one of the most common types of distortions frequently observed in
thin butt-welded plates. Generally, welding-induced angular distortions lead to additional …

This paper presents the development of a back propagation neural network model for the
prediction of maximum residual stresses produced in gas metal arc welding process. The …

Studies have been carried out to determine the effects of implementing alternating shielding
gases for 6082T6 aluminium alloy welding. Alternating shielding gases is a newly …

Manufacturing companies often fail to maintain good weld quality due to poor arc stability
and distortion after welding. Weld quality can be improved by reducing the transverse …

The accuracy of plate welding substantially impacts the quality of the final hull and the hull
construction efficiency. To control the accuracy of plate welding, one effective method is to …

An experimental investigation has been carried out to determine the applicability of an
induction heating process with a travelling induction coil for the rectification of angular …