Design and development of 3D printing facility using Metal Inert Gas (MIG) Welding

Abstract

The in-progress research effort is to optimize the gas metal arc welding parameters on the impact strength, flexural strength, and hardness of the fused generated part of SS316L using the Taguchi-based grey relational technique. Due to its low cost and great efficiency, experiments have been done in conjunction with fused deposition modeling (FDM) as a viable metal additive manufacturing technology. To create the laminated component, the metal AISI 316L wire is heated, extruded, and other techniques are used. However, it is commonly assumed that FDMS jobs have scanty and anisotropic tensile properties, which are always attributed to the weak inter-layer amalgamation. The current study seeks to improve the tensile characteristics and gain a better understanding of the anisotropic fracture behavior of 316L stainless steel fabricated via FDMS. It is possible to perceive the surface defect of weld joints made of 316L austenitic stainless steel. MIG welding parameters, gap between base metal and nozzle, voltage, and arc current were altered up to three stages, and their special effects on tensile strength, hardness, tensile strength, surface roughness, and microstructure were determined. Some parameters are controllable by the machinist, and these parameters encompass a shortest or indirect collision where the microstructure and mechanical attributes of the weld meet. In this study, three MIG welding attributes, arc current, voltage, and gap between base metal and nozzle, were changed up and down to three levels, and their special effects on surface roughness, hardness, tensile strength, and microstructure were investigated. Experiments were passed out on a 3 mm thick plate of austenitic stainless steel AISI 316L exploring MIG welding apparatus and were premeditated according to Taguchi L9 orthogonal array (OA). Experimentation was run out two times using two unlike filler materials, ER 316L and ER 309L. For each solo response, input parameters were determined, and the most favorable parameters were acquired. Additionally, the signal-to-noise (S/N) ratio and analysis of variance (ANOVA were used to assess the data. The MINI Tab software was used to optimize the results. It was found that each input parameter influences the reaction. The adjustment of filler material had manipulated the response, i.e., mechanical attributes and surface roughness. The microstructure assessment shows that dendritic lathy δ-ferrite structure,” fine and coarse δ-ferrite structure are nearby in the weld region of various jobs.