Analysis and modelling of dissimilar materials welding based on K-nearest neighbour predictor

In dissimilar materials the welded joints are apply to the Automotive and ship industries. The welded joints quality is better than the essential of suitable weld seam geometry. No previous technique produce the accurate prediction geometry of laser weld seam. The initial data generation Taguchi experiments are conducted on laser welding of two different materials. One is low carbon steel (Q235) and other is stainless steel (SUS301L-HT). The K-Nearest Neighbour predictor is modelled for the laser welding process. This method is providing the following function such as better prediction, accuracy and reduced computation time.