Stress Concentration Modelling on Resistance Spot Welding Lap Joint of Steel ASS316L and Titanium Ti-6Al-4V with Variable Weld Geometries

Author:

Kumar Nithia1,Mohd Mansor Muhammad Safwan1,Anjum Badruddin Irfan2,Hussein Mohamed2,Kamangar Sarfaraz2

Affiliation:

1. University of Malaya

2. King Khalid University

Abstract

This research is a finite element simulation on resistance spot welding (RSW) process between dissimilar sheet metals consist of Titanium alloy, Ti-6Al-4V and Austenitic Stainless Steel (ASS) 316L. The problem statement was inability to visualize the stress concentration profile over weld nugget joint when Titanium alloy and steel welded with variable electrode geometry of circle, triangle, square and hexagon. To determine the best geometry for best weld with lowest maximum stress concentration. The methodology of simulation was tensile-shear test using SOLIDWORKS software. The tensile-stress load of 664.09 N was applied across all 4 different weld geometries. The result for the lowest magnitude of maximum stress 180.6 MPa was on circle weld geometry. Triangle geometry registered highest stress concentration of 219.6 MPa. This proves that most common weld geometry used in industry was circle. Even for dissimilar material joint the result supports that circle weld geometry as the best geometry. Keywords: Resistance spot welding (RSW), stress concentration, weld nugget, weld geometry.

Publisher

Trans Tech Publications, Ltd.

Reference43 articles.

1. Hashmi, M.S.J.: Comprehensive materials processing. Elsevier, Oxford (2014).

2. Modelling and optimization of the resistance spot welding process via a Taguchi—neural approach in the automobile industry;Lin;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering,2008

3. Agashe, S., Zhang, H.: Selection of schedules based on heat balance in resistance spot welding. Weld J 82, 179-183 (2003).

4. Mallick, P.K.: Materials, design and manufacturing for lightweight vehicles. 2nd edn. Woodhead publishing, Oxford (2021).

5. Norrish, J.: Advanced Welding Processes. Elsevier, Oxford (2006).

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