The stainless steel cladding process has highlighted in the industrial environment for allowing anti-corrosive surfaces are made from low cost materials. However, in order to ensure the claddings final quality, it is important that the welding procedure is well adjusted, so that the welds are deposited with the desired geometry, with productivity and flawless. The aim of this work is the multiple characteristics optimization in cladding of ABNT 1020 carbon steel plates using ABNT 316L stainless steel cored wire. The optimized features include the bead width, penetration, reinforcement and dilution, representing the weld bead geometry. Productivity has been maximized through the deposition rate and process yield. As quality responses, we considered the slag formation and surface appearance. The modeling and optimization strategy was based on a combination of Response Surface Methodology, Global Criterion Method and Genetic Algorithm. The results indicate that the response surface models developed for the process characteristics had high adjustments. The Global Criterion Method and Genetic Algorithm were implemented successfully, allowing the results optimization.
Multi-objective optimization; Cladding; Response Surface Methodology; Global Criterion Method
