Arc welding is an important joining process widely used in many industrial applications including production of automobile, ships structures and metal tanks. In welding process, the moving electrode causes highly non-uniform temperature distribution that leads to residual stresses and different deviations, especially buckling distortions in thin plates. In order to control the deviations and in...

Welding is one of the most successful applications for industrial robots, which encourages intensive research and development in the area of the CAD-based and off-line programming (Pires et al., 2003, Yagi, 2004). At present, relevant software tools allow to optimise the process parameters, which directly influence the product quality and the system working cycle. Besides, they enable users to ...

In this paper, a low cost, high performance and full PC-based sensor system for the pulsed gas metal arc welding (PGMAW) is described. It allows the visual online observation of all states of the welding process, including the material transition, and all welding situations without an additional lighting unit. Additionally, the synchronized measurement of the welding current and welding voltage...

Abstract: The Submerged Arc Welding (SAW) process finds wide industrial application due to its easy applicability, high current density and ability to deposit a large amount of weld metal using more than one wire at the same time. It is highly emphasised in manufacturing especially because of its ability to restore worn parts. SAW is characterised by a large number of process parameters influen...

On-l ine quality control in automated welding operations is an important factor contributing to higher productivity, lower costs and greater reliability of the welded components. However, the development of on-l ine inspection techniques and feedback control is still in its infancy. Sound signature produced by GMAW contains information about the behavior of the arc column, the molten metal and ...

A new spectroscopic parameter is used in this paper for on-line arc-welding quality monitoring. Plasma spectroscopy applied to welding diagnostics has typically relied on the estimation of the plasma electronic temperature, as there is a known correlation between this parameter and the quality of the seams. However, the practical use of this parameter gives rise to some uncertainties that could...

Laser welding is a widely used but complex industrial process. In this work, we propose the use of an integrated machine intelligence architecture to help address the significant control difficulties that prevent laser welding from seeing its full potential in process engineering and production. This architecture combines three contemporary machine learning techniques to allow a laser welding c...

The automated welding systems, have received much attention in recent years, because they are highly suitable not only to increase the quality and productivity, but also to decrease manufacturing time and cost for a given product. To get the desired quality welds in automated welding system is challenging, an algorithm is needed that has complete control over the relevant process parameters in ...

In order to improve the prediction ability of welding quality during high-power disk laser welding, a new approach was proposed and applied in the classification of the dynamic features of metal vapor plume. Six features were extracted through the color image processing method. Three features, including the area of plume, number of spatters, and horizontal coordinate of plume centroid, were sel...

Welding input parameters play a very significant role in determining the quality of a weld joint. The joint quality can be defined in terms of properties such as weld-bead geometry, mechanical properties, and distortion. Generally, all welding processes are used with the aim of obtaining a welded joint with the desired weld-bead parameters, excellent mechanical properties with minimum distortio...