Friction Stir Welding (FSW) is an innovative solid-state joining process, which is gaining a great deal of attention in several applicative sectors. The opportune definition of process parameters, i.e. minimizing residual stresses, is crucial to improve joint reliability in terms of static and dynamic performance. Longitudinal residual stresses, induced by FSW in AA2024-T3 butt joints, have bee...

The objectives of this research are to investigate the effect of welding parameters on the weld quality and to develop guidelines for a selection of suitable parameter ranges for microplasma welding. A series of experiments was conducted to explore how changes of welding parameters affect the strength of the weld for the thin stainless steel most often used in the industry. The experiment resul...

This paper deals with Friction stir welding of AZ31B Mg alloy by using H13 Tool at different rotational speeds and welding speeds .Experiments were conducted according to L4 Orthogonal array which was suggested by Taguchi. Optimum parameters for optimum Tensile strength, Hardness and Ductility were found with the help of S/N ratios. Therefore optimization of input process parameter is required ...

The present investigation uses arc voltages, current, welding speed, wires feed rate and nozzle-to-plate distance as process parameters. Two level full factorial a technique has been used for experiment design. Multiple regression analysis has been used to develop a mathematical model to predict weld width using a single wire Submerged arc welding depositing bead-on-plate welds on 12mm plate. A...

Friction Stir Welding (FSW) is a solid-state welding process, based on frictional and stirring phenomena, that offers many advantages with respect to the traditional welding methods. However, several parameters can affect the quality of the produced joints. In this work, an experimental approach has been used for studying and optimizing the FSW process, applied on 5754-H111 aluminum plates. In ...

Submerged arc welding is used widely in oil and gas industry construction for storage tanks, pressure vessels, shipbuilding and etc. One of the processes of submerged arc welding is back gouging operations. This paper presents a way to remove the back gouging operation from the submerged arc welding process. For this purpose, effects of submerged arc welding parameters onA516-70steel sample wer...

Of particular importance and interest are the effects of pulsed Nd:YAG laser beam welding parameters on penetration and microstructure characterization of DP1000 butt joint, which is widely used in the automotive industry nowadays. Some key experimental technologies including pre-welding sample preparation and optimization design of sample fixture for a sufficient shielding gas flow are perform...

This paper presents a minimalist neural regression network as an aggregate of independent identical regression blocks that are trained simultaneously. Moreover, it introduces a new multiplicative parameter, shared by all the neural units of a given layer, to maintain the quality of its gradients. Furthermore, it increases its estimation accuracy via learning a weight factor whose quantity captu...

A skilled welder determines the weld joint penetration from his/her observation of the weld pool surface during the welding process. This paper addresses the characterization of the 3D weld pool surface in gas tungsten arc welding (GTAW), i.e., extracting a set of characteristic parameters from the 3D weld pool surface to determine the backside bead width that measures the degree of weld joint ...

The quality of the weld joint is highly influenced by the welding parameters. Hence accurate prediction of weld bead parameters is highly essential to achieve good quality joint. This paper presents development of neural network models for predicting bead parameters such as depth of penetration, bead width and depth to width ratio for AISI 202 grade stainless steel GTAW plates. The use of this ...