Experimental Investigation and Parametric Optimization of Tungsten Inert Gas Welding Process Parameters during Welding of Similar and Dissimilar Metals

Abstract

Gas Tungsten Arc Welding Is One Of The Most Extensively Used Procedures For Joining Aluminium Alloys, Nickel Alloys, Stainless Steel, Mild Steel, And Other Metal. The Goal Of This Study Was To See How Different Tig Process Parameters (Welding Current, Gas Flow Rate, Root Gap, And Filler Materials) Affecting The Mechanical Properties (Tensile, Hardness, And Flexural Strength), Bead Geometry And Microstructural Properties Of Stainless Steel 316 (Similar) And Stainless Steel 316 And Aisi 1020 (Dissimilar), Welded Metals. The Experimental Plan Was Done Using Taguchi L16 Orthogonal Array. These Ss316 And Aisi 1020 Materials Were Commonly Used In Industrial Applications Such As Steam Power Generation, Automotive Engineering, Biomedical Engineering, Dairy Industry, Petrochemical Engineering, And General Engineering Products. As A Result, The Above Tig Welding Parameters For Weld Quality Of Similar And Dissimilar Welds Were Optimized In This Study Using Taguchi-Based Desirability Function Analysis And Other Statistical Tools Like Analysis Of Variance (Anova) Techniques. From The Result It Was Observed That, The Microstructure Of Weld Metal Of Similar And Dissimilar Joints Consists Of A Delta Ferrite Network In An Austenite Matrix Using Filler Wire Er-316l And Er-309l Respectively. The Tensile Strength Experimental Results Revealed That Welding Current, Followed By Gfr, Was A Highly Significant Parameter. Hardness Result Show That The Welding Current Followed By Filler Metal Has A Significant Effect For Similar And Welding Current Followed By Root Gap For Dissimilar Welding. Flexural Strength Experimental Result Reveals That The Gfr Has Higher Effect Followed By Welding Current For Similar And Welding Current Followed By Filler Type For Dissimilar Welding. The Experimental Results Show That The Welding Current Has A Significant Impact On The Bead Width Of Welded Specimens Followed By The Root Gap. From The Dfa Multi Response Optimization Result It Was Shown That The Similar And Dissimilar Weld Samples Was Optimized. Percentage Improvement Of Similar Welded Metals Was 8.41% With A Parametric Setting Of (A2b4c3d2). Also, For Dissimilar Weld The Percentage Improvement Of 22.90% With A Parametric Setting Of (A2b4c3d2). Finally, The Confirmation Test Result Reveals That The Experimental Test Result In Agreement With Predictive Optimum Setting Result With Minimum Positive Validation Error (0.622%) For Similar And (3.42%) For Dissimilar Welding.