Journal of Materials Engineering and Performance

, Volume 25, Issue 10, pp 4484–4494 | Cite as

Study of Welding Distortion and Residual Stress Considering Nonlinear Yield Stress Curves and Multi-constraint Equations

Article
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Abstract

Inherent strain analysis has been successfully applied to predict welding deformations of large-scale structural components, while thermal-elastic-plastic finite element method is rarely used for its disadvantages of long calculation period and large storage space. In this paper, a hybrid model considering nonlinear yield stress curves and multi-constraint equations to thermal-elastic-plastic analysis is further proposed to predict welding distortions and residual stresses of large-scale structures. For welding T-joint structural steel S355JR by metal active gas welding, the published experiment results of temperature and displacement fields are applied to illustrate the credibility of the proposed integration model. By comparing numerical results of four different cases with the experiment results, it is verified that prediction precision of welding deformations and residual stresses is apparently improved considering the power-law hardening model, and computational time is also obviously shortened about 30.14% using multi-constraint equations. On the whole, the proposed hybrid method can be further used to precisely and efficiently predict welding deformations and residual stresses of large-scale structures.

Keywords

finite element model multi-constraint equations power-law hardening model residual stress welding deformation 
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Notes

Acknowledgments

This research is supported by the National Basic Research Program of China (973 Program, No. 2014CB046703) and the Fundamental Research Funds for the Central Universities (HUST, No. 2014QN016).

References

  1. 1.
    O.T. Ola and F.E. Doern, Fusion Weld Ability Studies in Aerospace AA7075-T651 Using High-Power Continuous Wave Laser Beam Techniques, Mater. Des., 2015, 77, p 50–58CrossRefGoogle Scholar
  2. 2.
    J. Adamus and P. Lacki, Analysis of Forming Titanium Welded Blanks, Comput. Mater. Sci., 2014, 94, p 66–72CrossRefGoogle Scholar
  3. 3.
    W. Liu, J.J. Ma, M.M. Atabaki, and R. Kovacevic, Joining of Advanced High-Strength Steel to AA 6061 Alloy by Using Fe/Al Structural Transition Joint, Mater. Des., 2015, 68, p 146–157CrossRefGoogle Scholar
  4. 4.
    Y.M. Rong, Z. Zhang, G.J. Zhang, C. Yue, Y.F. Gu, Y. Huang, C.M. Wang, and X.Y. Shao, Parameters Optimization of Laser Brazing in Crimping Butt Using Taguchi and BPNN-GA, Opt. Laser. Eng., 2015, 67, p 94–104CrossRefGoogle Scholar
  5. 5.
    W.J. He, B.F. Luan, R.L. Xin, J.B. Xu, and Q. Liu, A Multi-scale Model for Description of Strain Localization in Friction Stir Welded Magnesium Alloy, Comput. Mater. Sci., 2015, 104, p 162–171CrossRefGoogle Scholar
  6. 6.
    D. Deng, H. Murakawa, and W. Liang, Prediction of Welding Distortion in a Curved Plate Structure by Means of Elastic Finite Element Method, J. Mater. Process. Technol., 2008, 203, p 252–266CrossRefGoogle Scholar
  7. 7.
    Y. Ueda, Y.C. Kim, and M.G. Yuan, A Predicting Method of Welding Residual Stress Using Source of Residual Stress (Report I), Trans. JWRI, 1989, 18(2), p 135–141Google Scholar
  8. 8.
    Y. Ueda and M.G. Yuan, Prediction of Residual Stresses in Butt-Welded Plates Using Inherent Strains, J. Mater. Process. Technol., 1993, 115(8), p 417–423CrossRefGoogle Scholar
  9. 9.
    M.G. Yuan and Y. Ueda, Prediction of Residual Stresses in Welded T- and I-Joints Using Inherent Strains, J. Eng. Mater. Technol., 1996, 118(4), p 229–234CrossRefGoogle Scholar
  10. 10.
    J.C. Wang, S. Rashed, H. Murakaw, and Y. Luo, Numerical Prediction and Mitigation of Out-of-Plane Welding Distortion in Ship Panel Structure by Elastic FE Analysis, Mar. Struct., 2013, 34, p 135–155CrossRefGoogle Scholar
  11. 11.
    H.S. Mun and S.I. Seo, Welding Strain Analysis of Friction Stir-Welded Aluminum Alloy Structures Using Inherent Strain-Based Equivalent Loads, J. Mech. Sci. Technol., 2013, 27(9), p 2775–2782CrossRefGoogle Scholar
  12. 12.
    J.J. Xu, L.G. Chen, J.H. Wang, and C.Z. Ni, Prediction of Welding Distortion in Multipass Girth-Butt Welded Pipes of Different Wall Thickness, Int. J. Adv. Manuf. Technol., 2008, 35, p 987–993CrossRefGoogle Scholar
  13. 13.
    P. Biswas, N.R. Mandal, and S. Das, Prediction of Welding Deformations of Large Stiffened Panels Using Average Plastic Strain Method, Sci. Technol. Weld. Join., 2011, 16(3), p 227–231CrossRefGoogle Scholar
  14. 14.
    D. Deng, H. Murakawa, and N. Ma, Predicting Welding Deformation in Thin Plate Panel Structure by Means of Inherent Strain and Interface Element, Sci. Technol. Weld. Join., 2012, 17(1), p 13–21CrossRefGoogle Scholar
  15. 15.
    H. Murakawa, N. Ma, and H. Huang, Iterative Substructure Method Employing Concept of Inherent Strain for Large-Scale Welding Problems, Weld World, 2015, 59, p 53–63CrossRefGoogle Scholar
  16. 16.
    W. Liang and H. Murakawa, An Inverse Analysis Method to Estimate Inherent Deformations in Thin Plate Welded Joints, Mater. Des., 2012, 40, p 190–198CrossRefGoogle Scholar
  17. 17.
    Y. Ueda and T. Yamakawa, Analysis of Thermal Elastic-Plastic Stress and Strain During Welding by Finite Element Method, Trans. JWRI, 1971, 2, p 90–100Google Scholar
  18. 18.
    D. Deng and S. Kiyoshim, Numerical Simulation of Residual Stresses Induced by Laser Beam Welding in a SUS316 Stainless Steel Pipe with Considering Initial Residual Stress Influences, Nucl. Eng. Des., 2010, 240, p 688–696CrossRefGoogle Scholar
  19. 19.
    Y.Z. Li, K.Y. Wang, Y.J. Jin, M.J. Xu, and H. Lu, Prediction of Welding Deformation in Stiffened Structure by Introducing Thermo-mechanical Interface Element, J. Mater. Process. Technol., 2015, 216, p 440–446CrossRefGoogle Scholar
  20. 20.
    Z. Zeng, X.B. Li, Y.G. Miao, G. Wu, and Z.J. Zhao, Numerical and Experiment Analysis of Residual Stress on Magnesium Alloy and Steel Butt Joint by Hybrid Laser-TIG Welding, Comput. Mater. Sci., 2011, 50, p 1763–1769CrossRefGoogle Scholar
  21. 21.
    J.U. Park and H.W. Lee, Effects of Initial Condition of Steel Plate on Welding Deformation and Residual Stress Due to Welding, J. Mech. Sci. Technol., 2007, 21, p 426–435CrossRefGoogle Scholar
  22. 22.
    N. Ma, H. Huang, and H. Murakaw, Effect of Jig Constraint Position and Pitch on Welding Deformation, J. Mater. Process. Technol., 2015, 221, p 154–162CrossRefGoogle Scholar
  23. 23.
    H. Long, D. Gery, A. Carlier, and P.G. Maropoulos, Prediction of Welding Distortion in Butt Joint of Thin Plates, Mater. Des., 2009, 30, p 4126–4135CrossRefGoogle Scholar
  24. 24.
    J.C. Wang, M. Shibahara, X.D. Zhang, and H. Murakaw, Investigation on Twisting Distortion of Thin Plate Stiffened Structure Under Welding, J. Mater. Process. Technol., 2012, 212, p 1705–1715CrossRefGoogle Scholar
  25. 25.
    C. Heinze, C. Schwenk, and M. Rethmeier, Numerical Calculation of Residual Stress Development of Multi-pass Gas Metal Arc Welding, J. Constr. Steel. Res., 2012, 72, p 12–19CrossRefGoogle Scholar
  26. 26.
    H. Serizawa, S. Nakamura, K. Kanbe, Y. Fujita, S. Asai, and H. Murakawa, Numerical Analysis of Deformation in Multi-pass Circumferential TIG Welding with Narrow Gap, Weld World, 2013, 57, p 615–623CrossRefGoogle Scholar
  27. 27.
    M. Peric, D. Stamenkovic, and V. Milkovic, Comparison of Residual Stresses in Butt-Welded Plates Using Software Packages Abaqus and Ansys, Sci. Tech. Rev., 2010, 60(3–4), p 22–26Google Scholar
  28. 28.
    M. Peric, Z. Tonkovic, A. Rodic, M. Surjak, I. Garasic, I. Boras, and S. Svaic, Numerical Analysis and Experimental Investigation of Welding Residual Stresses and Distortions in a T-joint Fillet Weld, Mater. Des., 2014, 53, p 1052–1063CrossRefGoogle Scholar
  29. 29.
    M. Benedetti, V. Fontanari, and C. Santus, Crack Growth Resistance of MAG Butt-Welded Joints of S355JR Construction Steel, Eng. Fract. Mech., 2013, 108, p 305–315CrossRefGoogle Scholar
  30. 30.
    J. Goldak, A. Chakravarti, and M. Bibby, A New Finite Element Model for Welding Heat Sources, Metall. Trans. B, 1984, 15, p 299–305CrossRefGoogle Scholar
  31. 31.
    B. Brickstad and B.L. Josefson, A Parametric Study of Residual Stresses in Multi-pass Butt-Welded Stainless Steel Pipes, Int. J. Pressure Vessels Pip., 1998, 75, p 1–25CrossRefGoogle Scholar
  32. 32.
    W. Liu, J. Ma, S. Liu, and R. Kovacevic, Experimental and Numerical Investigation of Laser Hot Wire Welding, Int. J. Adv. Manuf. Technol., 2015, 78, p p1485–p1499CrossRefGoogle Scholar
  33. 33.
    W. Liu, J. Ma, F. Kong, S. Liu, and R. Kovacevic, Numerical Modeling and Experimental Verification of Residual Stress in Autogenous Laser Welding of High-Strength Steel, Lasers Manuf. Mater. Process., 2015, 2, p 24–42CrossRefGoogle Scholar
  34. 34.
    T.L. Teng and P.H. Chang, Three-Dimensional Thermo Mechanical Analysis of Circumferentially Welded Thin-Walled Pipes, Int. J. Pressure Vessels Pip., 1998, 75, p 237–247CrossRefGoogle Scholar
  35. 35.
    T. Hong, J.Y. Ooi, and B.A. Shaw, A Numerical Study of the Residual Stress Pattern from Single Shot Impacting on a Metallic Component, Adv. Eng. Softw., 2008, 39, p 743–756CrossRefGoogle Scholar
  36. 36.
    O. Toshinari, O. Takayoshi, and M. Fumikazu, UV Radiation Thermometry of TIG Weld Pool-Development of UV Radiation Thermometry (Report 1), Q. J. Jpn. Weld. Soc., 2004, 22(1), p 21–26CrossRefGoogle Scholar
  37. 37.
    Y. Rong, Y. Huang, G. Zhang, Y. Chang, and X. Shao, Prediction of Angular Distortion in No Gap Butt Joint Using BPNN and Inherent Strain Considering the Actual Bead Geometry, Int. J. Adv. Manuf. Technol. doi: 10.1007/s00170-015-8102-2

Copyright information

© ASM International 2016

Authors and Affiliations

  1. 1.State Key Lab of Digital Manufacturing Equipment and Technology, School of Mechanical Science and EngineeringHuazhong University of Science and TechnologyWuhanChina

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