In this research work, investigations are carried out on Continuous Wave (CW) Nd:YAG laser welding system after preliminary experimentation to understand the influencing parameters associated with laser welding of AISI 304. The experimental procedure involves a series of laser welding trials on AISI 304 stainless steel sheets with various combinations of process parameters like beam power, beam...

-S 169 WELDING JOURNAL ABSTRACT. A 3-D transient numerical model was developed for simulation of gas metal arc (GMA) weld pools with free surface and droplet impact effects. This effort predicted a moving GMA weld pool by considering not only the heat transfer and fluid flow driven by surface tension gradient, electromagnetic force, buoyancy, and arc pressure, but also detailed information abou...

A Cerebellar Model Articulation Controller(CMAC-) based modelling method and closed-loop control system were developed to estimate and control the weld fusion for measuring the topside and backside bead widths of the weld pool in High Power Direct Diode Laser (HPDDL) welding. Because of the difficulty in using backside sensor, a topside weld pool geometry is measured using a topside vision sens...

The purpose of this study is to propose a method to decide nearoptimal settings of the welding process parameters using a genetic algorithm. This method tries to find the near-optimal settings of the welding process parameters through experiments without a model between input and output variables. It has the advantage of being able to carry out searches without modifying the design space, which...

Austenitic stainless steel SS304 grade was welded with active Tungsten Inert Gas (TIG) welding process by applying a flux paste made of SiO2 powder and acetone. SiO2 flux application improves the weld bead depth with a simultaneous reduction in weld bead width. The improvement in penetration results from arc constriction and reversal of Marangoni convection. Experimental studies revealed that t...

This work proposes a new methodology for the detection of discontinuities in the weld bead applied in Shielded Metal Arc Welding (SMAW) processes. The detection system is based on two sensors-a microphone and piezoelectric-that acquire acoustic emissions generated during the welding. The feature vectors extracted from the sensor dataset are used to construct classifier models. The approaches ba...

Weld bead geometry is a critical factor for determining the quality of welded joints, this welding process input parameters play key role. In study, relationships between variables and size weld produced by pulsed GMAW were investigated neural network trained with Bayesian-Regulation Back Propagation algorithm second degree regression models. A series experiments carried out applying Box-Behnke...

The prediction of the weld bead geometry parameters is an important aspect welding processes due to it related strength welded joint. This research focuses on using statistical design techniques and a deep learning neural network predict shape shielded metal arc (SMAW), inert gas (MIG), tungsten (TIG) processes. With techniques, experiments were carried out obtain data for generating regression...