Present paper attempted to model complex relationship between CO 2 laser–MIG hybrid
welding parameters and it has been completed using different algorithms of artificial neural …

In this paper, artificial neural networks (ANNs), genetic algorithm (GA), simulated annealing
(SA) and Quasi Newton line search techniques have been combined to develop three …

Advanced manufacturing processes have increased industrial productivity and enhanced
marketing prospects. Optimization techniques coupled with simulative methods in laser …

The paper presents an artificial neural network-optimization hybrid model to predict and
optimize penetration depth of CO 2 LASER-MIG hybrid welding used for 5005 Al–Mg alloy …

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

Abstract 'Laser Beam Welding (LBW) is a welding technique used to join pieces of metal or
thermoplastics with the aid of laser'. The beam offers a concerted heat source, which …

For any welding process, efficiency and quality strongly depend on the energy input, which
is the energy introduced per unit length of weld from a travelling heat source. The focused …

In the automotive industry, applying aluminum alloys to car chassis have become an
important concern in order to reduce car weight. In aluminum laser welding, the strength of …

The paper presents a hybrid model of an Artificial Neural Network (ANN) and Genetic
Algorithm (GA) for modeling of a hybrid laser welding process. This model is employed for …

Predictive modelling for quality analysis becomes one of the most critical requirements for a
continuous improvement of reliability, efficiency and safety of laser welding process …