Prediction of Weld Strength of Resistance Spot Welding Using Artificial Neural Network

Resistance Spot Welding is one of the oldest electric welding processes in use by industry today. As the name implies, it is the resistance of the material to be welded to current flow that causes a localized heating in the part. This paper focused on the development and evaluation of neural network-based systems for trial resistance spot welding process control and weld quality assessment. Parametric study shows the effect of different parameters i.e., weld current, cycle time, and thickness on the weld strength. The relations between parameters are plotted on the graphs. Index Terms — Process Parameters, Artificial neural network