In this study, we propose a new model for the automatic choice of the welding process based on the use of the multi-layers artificial neural networks (MLANN). The automatic choice of welding process is done in three steps; firstly, we started with the formulation of a training base which represents the experiments of the experts of the field as well as the necessary knowledge of know-how, and w...

This paper addresses the weld joint strength monitoring in pulsed metal inert gas welding (PMIGW) process. Response surface methodology is applied to perform welding experiments. A multilayer neural network model has been developed to predict the ultimate tensile stress (UTS) of welded plates. Six process parameters, namely pulse voltage, back-ground voltage, pulse duration, pulse frequency, wi...

Welding shrinkage and distortion affect the shape, dimensional accuracy and the strength of the finished product. This work concerns the prediction of welding distortion in a pulsed metal inert gas welding (PMIGW) process. Six different types of radial basis function network models have been developed to predict the distortion of welded plates. Six process parameters, namely pulse voltage, back...

Welding is a reliable and effective metal fabrication process which is widely used in industries. High heating at a one location during welding and further rapid cooling generates residual stress and distortion in the weld and base metal. In last few decades various research efforts have been directed towards the control of welding process parameter aiming at reducing residual stress and distor...

In general, it is desirable to finish the weld quickly, before a large volume of surrounding metal heats up and expands. The welding process used, type, welding current and speed of travel, thus, affect the degree of shrinkage and distortion of a weldment. The use of mechanized welding equipment reduces welding time, metal affected zone and consequently distortion. This article helps to define ...

The MIG welding is one of the most popular welding techniques used in industries. This uses a consumable metal electrode. The input parameters in MIG welding play a significant role in deciding the weld quality, strength, cost and speed. Most of times manufacturer faces a problem to select optimum process parameters for a good quality weld. This paper tries to present the effect of different we...

Abstract—Friction stir welding is a modern and an environmentally friendly solid state joining process used to joint relatively lighter family of materials. Recently, friction stir spot welding has been used instead of resistance spot welding which has received considerable attention from the automotive industry. It is environmentally friendly process that eliminated heat and pollution. In this...

This paper presents and evaluates the concept and implementation of two distinct multisensor systems for the automated manufacturing based on parallel hardware. In the most sophisticated implementation, 12 processors had been integrated in a parallel multi-sensor system. Some specialized nodes implement an Artificial Neural Network, used to improve photogrammetry-based computer vision, and Fuzz...

This paper introduces an intelligent system for monitoring and recognition of process disturbances during short-circuiting gas–metal arc welding. It is based on the measured and statistically processed data of welding electrical parameters. A 12-dimensional array of process features is designed to describe various welding conditions and is employed as input vector of the intelligent system. Thr...

ABSTRACT: The solving method of positions and attitudes of discrete solder joints in a curved weld and the method for constructing a weld coordinate system based on Frenet-Serret’s vector were put forward and the position and orientation vectors relative to time series of discrete welding points were obtained. Thus the relative position and orientation between welding point and welding torch wi...