This paper presents a state-of-the-art critical review of the thermal and structural modelling
of the arc welding process. During the welding process, high temperature in the welding …

This study aims to develop a welding sequence optimization (WSO) framework based on
coupled artificial neural network (ANN) and swarm intelligence algorithm for minimizing …

Safe and reliable operation of power plants invariably relies on the structural integrity
assessments of pressure vessels and piping systems. Welded joints are a potential source …

In the aerospace industry, integrated aluminium alloy plates and stiffened panels with high
accuracy and performance attract significant interest. To manufacture these panels as …

In this paper, a novel strategy based on nonlinear thermal analysis has been developed
using finite element simulations and artificial neural networks in order to predict the time …

As one of the critical output parameters in the machining process, surface roughness quality
must be constantly monitored, including predictions. Many scholars have researched …

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 …

In this study, an effective artificial neural network (ANN) model was established to predict the
bending deformation in a welded square thin-walled aluminum alloy tube structure. The …

The inherent deformation method has a significant advantage in evaluating the total welding
deformations for large and complex welded structures. The prerequisite for applying this …