Emad Parvaneh Aval - MSc Student, Ferdowsi University of Mashhad, Mashhad, Iran;
Farhad Kolahan - Associate Professor, Ferdowsi University of Mashhad, Mashhad,Iran;

Proper selection of process parameters levels positively affect the quality of products in different processes. In this study the problem of modeling and optimization of A-TIG welding process for AISI316L austenite stainless steel has been addressed using orthogonal array Taguchi (OA-Taguchi) method for designing the experimental matrix required and regression modeling and analysis of variance (ANOVA). The experiments have been carried out on AISI316L steel parts. Taguchi experimental design approach has been chosen to gather the data required. Then regression functions (linear, quadratic and logarithmic) have been fit on the experimental data. Then the best and most fitted model was selected based on the results of statistical tests. The statistical analysis showed that the quadratic model is the best one for aspect ratio. In the next stage Taguchi technique has been used to optimize the process measure. Based on the results the proposed model is quite efficient in modeling and optimization A-TIG welding process.

A-TIG welding, regression modeling, design of experiment, Taguchi technique.