Welding input parameters play a very significant role in determining the quality of a weld
joint. The joint quality can be defined in terms of properties such as weld-bead geometry …

This paper addresses the weld joint strength monitoring in pulsed metal inert gas welding
(PMIGW) process. Response surface methodology is applied to perform welding …

Penetration morphology has an important influence on the weld quality. Due to the nonlinear
and strong coupling characteristics of welding process, neural network is often used to …

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 …

Evaluating the welding residual stress and deformation in a reasonable and reliable way is
the perquisite of ensuring the quality of weldments. Therefore, in this paper, an artificial …

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 …

Optimization of a manufacturing process is a rigorous task because it has to take into
account all the factors that influence the product quality and productivity. Welding is a multi …

Welding is widely used by manufacturing engineers and production personnel to quickly
and effectively set up manufacturing processes for new products. The MIG welding …