To solve the knowledge modelling problem of strong nonlinear characteristics such as multivariable, high coupling and stochastic interference in GMAW process hull structures, a clustering similarity particle filter (CSPF) method based on consistency principle state trajectory is proposed to establish model for welding dynamics. The mechanism selected construct Hammerstein with uncertain noise r...

In recent years, welding feedback control systems and weld quality estimation have been developed with the use of artificial intelligence to increase consistency robotic solutions. This paper introduces utilization an intelligent system (IWS) for controlling process. this study, GMAW process is controlled by a backpropagation neural network (NN). The input parameters; root face gap, measured la...

Abstract Welding operation decides the quality of product standards in all metal work products like automobiles, aerospace vehicles, and many more. The welding process is more reliable by automating with robots. In this research work, GMAW automated ‘Fanuc Robot Arc mate 100iC/12’ robot. material characteristics such as ultimate tensile strength, hardness, impact strength weldments are predicte...

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...