An Approach of Weighted Principal Component Analysis Based Taguchi Method for Parametric Optimization of Submerged Arc Welding
Quality is the collection of features and characteristics of a product that contribute to its ability to meet given requirements. The quality of a weld joint is directly influenced by the welding parameters during the welding process. Often, a common problem that has been faced by the manufacturer is the control of the process parameters to obtain a good welded joint. Quality level is denoted as the probability of conformance and is a function of system variables and system specification. The present work is aimed to improve the quality of the weldment in SAW using Weighted Principal Component based Taguchi method. Three process parameters such as voltage, carriage speed and stand of distance are identified to carry out the study. Mechanical properties such as tensile strength and hardness are considered to be the response parameters in the present study.