Skip to main content
Log in

Finite element simulation of multi-layer repair welding and experimental investigation of the residual stress fields in steel welded components

  • Research Paper
  • Published:
Welding in the World Aims and scope Submit manuscript

Abstract

In this work, the effect of multi-pass repair welding for removing a fatigue crack on the residual stress fields of GMA-welded S355J2 + N and S960QL structural steel T-joints was investigated. Two scenarios were considered, a fatigue crack smaller than half of the plate thickness, and a fatigue crack larger than half of the plate thickness. Samples were first welded in a T-joint structure; then, cracks were created on their weld toes by cyclic loading; after that, the cracks were machined at one or two sides of the plate, depending on the crack length, and finally, the sample was repaired by two-pass welding on each machined area. Longitudinal and transverse residual stresses were measured by the X-ray diffraction method. A 2D thermo-metallurgical-mechanical finite element model was developed for each sample to estimate the residual stress fields through the weldments. The results show that, regardless of the alloy or repairing in one or two sides, the repair welding increases the magnitude of the residual stresses compared to the initial weld, but the alloys show different behaviors during the process. In S960QL samples, during repair welding of one weld toe, the residual stress evolutions in previously welded areas that are not subjected to the repair welding occur due to the morphological changes in the phases and expansions and contractions, while for S355J2N samples, the expansions and contractions are mainly responsible for these changes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19

Similar content being viewed by others

References

  1. Goldak J, Asadi M (2014) Challenges in validation of computational weld mechanics code to compute residual stress and distortion in welds. J Press Vessel Technol Trans ASME 136:1–8. https://doi.org/10.1115/1.4024458

    Article  Google Scholar 

  2. Dong P (2018) On repair weld residual stresses and significance to structural integrity. Weld World 62:351–362. https://doi.org/10.1007/s40194-018-0554-1

    Article  Google Scholar 

  3. Song S, Dong P (2017) Residual stresses at weld repairs and effects of repair geometry. Sci Technol Weld Join 22:265–277. https://doi.org/10.1080/13621718.2016.1224544

    Article  Google Scholar 

  4. Unsworth D, Driver RG, Li L (2020) Measurement and prediction of residual stresses in welded girders. J Constr Steel Res 169:106007. https://doi.org/10.1016/j.jcsr.2020.106007

    Article  Google Scholar 

  5. Farajian M, Nitschke-Pagel T, Siegele D (2014) Welding residual stress behavior in tubular steel joints under multiaxial loading. HTM J Heat Treat Mater 69:6–13. https://doi.org/10.3139/105.110208

    Article  CAS  Google Scholar 

  6. Charkhi M, Akbari D (2019) Experimental and numerical investigation of the effects of the pre-heating in the modification of residual stresses in the repair welding process. Int J Press Vessel Pip 171:79–91. https://doi.org/10.1016/j.ijpvp.2019.02.006

    Article  CAS  Google Scholar 

  7. Elcoate CD, Dennis RJ, Bouchard PJ, Smith MC (2005) Three dimensional multi-pass repair weld simulations. Int J Press Vessel Pip 82:244–257. https://doi.org/10.1016/j.ijpvp.2004.08.003

    Article  Google Scholar 

  8. Salerno G, Bennett CJ, Sun W, Becker AA (2017) Residual stress analysis and finite element modelling of repair-welded titanium sheets. Weld World 61:1211–1223. https://doi.org/10.1007/s40194-017-0506-1

    Article  CAS  Google Scholar 

  9. Jiang W, Luo Y, Wang BY et al (2015) Neutron diffraction measurement and numerical simulation to study the effect of repair depth on residual stress in 316L stainless steel repair weld. J Press Vessel Technol Trans ASME 137:1–12. https://doi.org/10.1115/1.4028515

    Article  CAS  Google Scholar 

  10. Withers PJ (2007) Residual stress and its role in failure. Reports Prog Phys 70:2211–2264. https://doi.org/10.1088/0034-4885/70/12/R04

    Article  Google Scholar 

  11. SEW 088 Guidline (2017) Supplementary Sheet 1 to SEW 088: Weldable Fine Grain Steels: Guidelnes for Processing, Particulary for Fusion Wleding, Cold Cracking During Welding, Determining Appropriate Minimum Preheating, DIN German Institute for Standartization. Berlin, Germany

  12. Schubnell J, Ladendorf P, Sarmast A et al (2021) Fatigue performance of high- and low-strength repaired welded steel joints. Metals (Basel) 11:293

    Article  CAS  Google Scholar 

  13. Macherauch E, Müller P (1961) Das Sin^2ψ Verfahren von Rontgenographische Eigenspannungen. Z angew Phys 13:305–312

    CAS  Google Scholar 

  14. Goldak JA, Akhlaghi M (2005) Computational welding mechanics. Springer Science+Business Media, Inc., 233 Spring Street, New York

  15. De A, DebRoy T (2004) A smart model to estimate effective thermal conductivity and viscosity in the weld pool. J Appl Phys 95:5230–5240. https://doi.org/10.1063/1.1695593

    Article  CAS  Google Scholar 

  16. Goldak J, Chakravarti A, Bibby M (1984) A new finite element model for welding heat sources. Metall Trans B 15:299–305

    Article  Google Scholar 

  17. Grong ØY (1997) Metallurgical modelling of welding, 2nd edn. The Institute of Materials, London

    Google Scholar 

  18. Gourd LM (1995) Principles of welding technology, 3rd edn. Edward Arnold, London

    Google Scholar 

  19. Aarbogh HM, Hamide M, Fjær HG et al (2010) Experimental validation of finite element codes for welding deformations. J Mater Process Technol 210:1681–1689. https://doi.org/10.1016/j.jmatprotec.2010.05.014

    Article  CAS  Google Scholar 

  20. Bajpei T, Chelladurai H, Ansari MZ (2016) Mitigation of residual stresses and distortions in thin aluminium alloy GMAW plates using different heat sink models. J Manuf Process 22:199–210. https://doi.org/10.1016/j.jmapro.2016.03.011

    Article  Google Scholar 

  21. Goyal VK, Ghosh PK, Saini JS (2009) Analytical studies on thermal behaviour and geometry of weld pool in pulsed current gas metal arc welding. J Mater Process Technol 209:1318–1336. https://doi.org/10.1016/j.jmatprotec.2008.03.035

    Article  CAS  Google Scholar 

  22. Schenk T, Richardson IM, Kraska M, Ohnimus S (2009) Modeling buckling distortion of DP600 overlap joints due to gas metal arc welding and the influence of the mesh density. Comput Mater Sci 46:977–986. https://doi.org/10.1016/j.commatsci.2009.05.003

    Article  CAS  Google Scholar 

  23. Lindgren L-E (2007) Computational welding mechanics: thermomechanical and microstructural simulations. Woodhead Publishing, Cambridge, London

    Book  Google Scholar 

  24. Leblond JB, Devaux J (1984) A new kinetic model for anisothermal metallurgical transformations in steels including effect of austenite grain size. Acta Metall 32:137–146. https://doi.org/10.1016/0001-6160(84)90211-6

    Article  CAS  Google Scholar 

  25. Koistinen DP (1959) A general equation prescribing the extent of the austenite-martensite transformation in pure iron-carbon alloys and plain carbon steels. Acta Metall 7:59–60

    Article  Google Scholar 

  26. Saunders N, Miodownik P (1998) CALPHAD (Calculation of Phase Diagrams): A Comprehensive Guide, 1st ed. Elsevier Science Ltd, Langford Lane, Kidlington, Oxford 

  27. Trzaska J (2016) Calculation of critical temperatures by empirical formulae. Arch Metall Mater 61:981–986. https://doi.org/10.1515/amm-2016-0167

    Article  CAS  Google Scholar 

  28. Seyffarth P, Meyer B, Scharff A (2018) Großer Atlas Schweiß-ZTU-Schaubilder, 2nd ed. DVS Media GmbH, Dusseldorf

  29. Belytschko T, Liu WK, Moran B, Elkhodary KI (2014) Nonlinear finite elements for continua and structures, 2nd ed. John Wiley & Sons, Ltd, Hoboken

  30. Sarmast A, Serajzadeh S (2019) The influence of welding polarity on mechanical properties, microstructure and residual stresses of gas tungsten arc welded AA5052. Int J Adv Manuf Technol 105:3397–3409. https://doi.org/10.1007/s00170-019-04580-7

    Article  Google Scholar 

  31. Lindgren LE (2001) Finite element modeling and simulation of welding. part 2: Improved material modeling. J Therm Stress 24:195–231. https://doi.org/10.1080/014957301300006380

    Article  Google Scholar 

  32. Hamelin CJ, Muránsky O, Smith MC et al (2014) Validation of a numerical model used to predict phase distribution and residual stress in ferritic steel weldments. Acta Mater 75:1–19. https://doi.org/10.1016/j.actamat.2014.04.045

    Article  CAS  Google Scholar 

  33. Hemmesi K, Farajian M, Boin M (2017) Numerical studies of welding residual stresses in tubular joints and experimental validations by means of x-ray and neutron diffraction analysis. Mater Des 126:339–350. https://doi.org/10.1016/j.matdes.2017.03.088

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Majid Farajian.

Ethics declarations

Conflict of interest

The authors declare no competing interest.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Recommended for publication by Commission XIII—Fatigue of Welded Components and Structures

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sarmast, A., Schubnell, J. & Farajian, M. Finite element simulation of multi-layer repair welding and experimental investigation of the residual stress fields in steel welded components. Weld World 66, 1275–1290 (2022). https://doi.org/10.1007/s40194-022-01286-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40194-022-01286-5

Keywords

Navigation