TIG Welding Al6061 using Taguchi and Regression Analysis Methods

Design of experiments is a technique to determine and represent the cause and effect relationship between true mean responses and input control variables influencing the responses as a two or three-dimensional hyper surface. TIG welding is used extensively in industry to join similar metals. The main problem faced in the TIG welding process is the selection of the optimum combination of input variables for achieving the required qualities of weld. This problem can be solved by the development of mathematical models through effective and strategic planning and the execution of experiments by Taguchi techniques and Analysis of variance (ANOVA). This paper highlights the use of Taguchi techniques by designing a three-factor two-level orthogonal array with full replication for planning, conduction, execution and development of mathematical models. These are useful not only for predicting the weld bead quality but also for selecting optimum process parameters for achieving the desired quality and process optimization. The correlation was obtained by regression analysis and compared with the experimental results.