Process parameters optimization in Cold Metal Transfer Welding by Data Envelopment Analysis based ranking method

Abstract

For single response process parameter optimization, Taguchi analysis is used. By varying the
settings, the user may obtain variable results that always depend on selected data parameters. Hence
optimization of multi responses and their characteristics is the solution. Mechanical properties and
their improvements are critical for Cold Metal Transfer Welding. In this paper, a multi-response
objective optimization process, the DEAR approach is proposed for Stainless steel welding using the
CMT process. Various process parameters for this type of welding are, Nozzle to tip distance are
varied to test the multiple responses like Tensile test, Surface Roughness. Taguchi L8 Orthogonal
Array was picked up to acquit the experiment. Various parameters were optimized for the buttwelded specimens by decided approach and each process parameter, and its percentage contribution
in the outcome was identified.