Optimization Of Welding Process Parameters By Taguchi Method (Experimentation and Application)

Recent evidences shows that the more and more manufacturing companies are recognizing the importance and necessity of quality improvement if they are to survive domestic and world-wide competition.. Day by day technology is changing, accordingly the approach and the techniques to manage overall processes are also renewed. A systematic and efficient way to meet this challenge is the continuous process improvement. The continuous process improvement can be achieved by practicing TQM concepts. The important concepts are optimization of performance, quality and cost.. In this paper an attempt is made in an industry to optimize the process parameters of the welding process so that the overall performance of the process and the quality of product is improved. The Taguchi technique uses a tool called Orthogonal Array and a measure of quality called Signal-to-Noise ratio.. ANOVA is used to optimize the welding parameters (input parameters) to find the responses {output parameters). The optimized input parameters are used to compare the output responses for both theoretical and actual, those obtained from the profile projector. The actual values are found to be comparable to the calculated values.