Skip to main content

Advertisement

Log in

In situ studies of full-field residual stress mapping of SS304 stainless steel welds using DIC

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Large tensile residual stress is detrimental to the structural integrity of welded structures. As a result, it is very important to understand the residual formation during the welding process. In this paper, a new non-contact welding residual stress measurement technique based on digital image correlation (DIC) is proposed as a way to investigate residual stress formation. To investigate the stress evolution of the welded plate, we conduct a series of experiments by using this new method. High-temperature full-field strain obtained from DIC was computed by incremental theory to acquire stress increment. Stress evolution and residual stress were obtained by superimposing the stress increment. Hole-drilling residual stress measurements for verification were also implemented. The maximum difference, which was 37 MPa between the two methods demonstrated that this new technique was able to characterize the full-field welding residual stress during the welding process.

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.

Institutional subscriptions

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

Similar content being viewed by others

References

  1. Withers PJ, Bhadeshia HKDH (2001) Residual stress. Part 2—nature and origins. Mater Sci Technol 17(4):366–375

    Article  Google Scholar 

  2. De A, DebRoy T (2011) A perspective on residual stresses in welding. Sci Technol Weld Join 16(3):204–208

    Article  Google Scholar 

  3. Dong P (2005) Residual stresses and distortions in welded structures: a perspective for engineering applications. Sci Technol Weld Join 10(4):389–398

    Article  Google Scholar 

  4. Deplus K, Simar A, Haver WV, Meester BD (2011) Residual stresses in aluminum alloy friction stir welds. Int J Adv Manuf Technol 56:493–504

    Article  Google Scholar 

  5. Feng Z (2005) Processes and mechanisms of welding residual stress and distortion. Woodhead Publishing, Cambridge

    Book  Google Scholar 

  6. Rossini NS, Dassisti M, Benyounis KY (2012) Methods of measuring residual stresses in components. Mater Des 35:572–588

    Article  Google Scholar 

  7. Younis NT, Kang B (2011) Averaging effects of a strain gage. J Mech Sci Technol 25(1):163–169

    Article  Google Scholar 

  8. Baldi A (2014) Residual stress measurement using hole drilling and integrated digital image correlation techniques. Exp Mech 54(3):379–391

    Article  Google Scholar 

  9. Nelson DV, Makino A, Schmidt T (2006) Residual stress determination using hole drilling and 3D image correlation. Exp Mech 46(1):31–38

    Article  Google Scholar 

  10. Gao J, Shang H (2009) Deformation-pattern-based digital image correlation method and its application to residual stress measurement. Appl Opt 48(7):1371–1381

    Article  Google Scholar 

  11. Rangaswamy P, Griffith ML, Prime MB, Holden TM, Rogge RB, Edwards JM, Sebring RJ (2005) Residual stresses in LENS components using neutron diffraction and contour method. Mater Sci Eng A 399(1–2):72–83

    Article  Google Scholar 

  12. Ganguly S, Stelmukh V, Edwards L, Fitzptrick ME (2008) Analysis of residual stress in metal-inert-gas-welded Al-2024 using neutron and synchrotron X-ray diffraction. Mater Sci Eng A 491(1–2):248–257

    Article  Google Scholar 

  13. Acevedo C, Evans A, Nussbaumer A (2012) Neutron diffraction investigations on residual stresses contributing to the fatigue crack growth in ferritic steel tubular bridges. Int J Pres Ves Pip 95(7):31–38

    Article  Google Scholar 

  14. Prime MB, Thomas G-H, Baumann JA, Lederich RJ, Bowden DM, Sebring R (2006) Residual stress measurements in a thick, dissimilar aluminum alloy friction stir weld. Acta Mater 54(15):4013–4021

    Article  Google Scholar 

  15. Pan B, Qian K, Xie H, Asundi A (2009) Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review. Meas Sci Technol 20(6):1–17

    Article  Google Scholar 

  16. Jae B (2019) Completely in situ and non-contact warpage assessment using 3D DIC with virtual patterning method. Int J Adv Manuf Technol 100:2803–2811

    Article  MathSciNet  Google Scholar 

  17. Hild F, Roux S (2006) Digital image correlation: from displacement measurement to identification of elastic properties – a review. Strain 42(2):69–80

    Article  Google Scholar 

  18. Li ZG, He N, Fan ZM, Liao HL (2013) The study of non-contact measure method for deformation based on the digital image correlation. Adv Mater Technol 718-720:853–857

    Google Scholar 

  19. Li GY, Xu FX, Sun GY, Li Q (2014) Identification of mechanical properties of the weld line by combining 3D digital image correlation with inverse modeling procedure. Int J Adv Manuf Technol 74:893–905

    Article  Google Scholar 

  20. Henry TC, Phillips FR, Cole DP, Garboczi E, Haynes RA, Johnson T (2020) In situ fatigue monitoring investigation of additively manufactured maraging steel. Int J Adv Manuf Technol 107:3499–3510

    Article  Google Scholar 

  21. Agarwal G, Gao H, Amirthalingam M, Hermans MJM (2018) In situ strain investigation during laser welding using digital image correlation and finite-element-based numerical simulation. Sci Technol Weld Join 23(2):134–139

    Article  Google Scholar 

  22. Chen J, Feng Z (2018) Strain and distortion monitoring during arc welding by 3D digital image correlation. Sci Technol Weld Join 23(6):536–542

    Article  Google Scholar 

  23. Chen J, Yu XH, Miller RG, Feng Z (2014) In situ strain and temperature measurement and modelling during arc welding. Sci. Technol. Weld Joining 20(3):181–188

    Article  Google Scholar 

  24. Sutton MA, Yan JH, Tiwari V, Schreier HW, Orteu JJ (2008) The effect of out-of-plane motion on 2D and 3D digital image correlation measurements. Opt Lasers Eng 46(10):746–757

    Article  Google Scholar 

  25. Blaber J, Adair B, Antoniou A (2015) Ncorr: open-source 2D digital image correlation Matlab software. Exp Mech 55(6):1105–1122

    Article  Google Scholar 

  26. Liu ZX (2010) Computational solid mechanics. China, Shanghai Jiao Tong University Publishing, Shanghai

    Google Scholar 

Download references

Acknowledgments

The authors are grateful to the financial support of the National Natural Science Foundation of China (Grant No.51575348) and National Key Research and Development Program of China (No. 2018 YFC0310400).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Huabin Chen or Xiaoqi Chen.

Additional information

Publisher’s note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, H., Song, Y., Chen, X. et al. In situ studies of full-field residual stress mapping of SS304 stainless steel welds using DIC. Int J Adv Manuf Technol 109, 45–55 (2020). https://doi.org/10.1007/s00170-020-05627-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-020-05627-w

Keywords

Navigation