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Hardness prediction based on microstructure evolution and residual stress evaluation during high tensile thick plate butt welding

  • Zhou, Hong (School of Naval Architecture and Ocean Engineering, Jiangsu University of Science and Technology) ;
  • Zhang, Qingya (School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology) ;
  • Yi, Bin (School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology) ;
  • Wang, Jiangchao (School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology)
  • Received : 2019.03.14
  • Accepted : 2019.09.19
  • Published : 2020.12.31

Abstract

Two High Tensile Strength Steel (EH47) plates with thickness of 70 mm were butt-welded together by multi-pass Submerged Arc Welding (SAW), also the hardness and welding residual stress were investigated experimentally. Based on Thermal-Elastic-Plastic Finite Element (TEP FE) computation, the thermal cycles during entire welding process were obtained, and the HAZ hardness of multi-pass butt welded joint was computed by the hardenability algorithm with considering microstructure evolution. Good agreement of HAZ hardness between the measurement and computational result is observed. The evolution of each phase was drawn to clarify the influence mechanism of thermal cycle on HAZ hardness. Welding residual stress was predicted with considering mechanical response, which was dominantly determined by last cap welds through analyzing its formation process.

Keywords

Acknowledgement

This study was supported by the National Natural Science Foundation of China (Grant No. 51609091), Priority Academic Program Development of Jiangsu Higher Education Institutions and Collegiate Natural Science Fund of Jiangsu Province (14KJA570001) and Collegiate Natural Science Fund Major project of Jiangsu Province (2014CH096J).

References

  1. ASTM standard E 837-08, 2008. Standard Test Method for Determining Residual Stresses by the Hole-Drilling Strain-Gage Method. ASTM International.
  2. Deng, Dean, Kiyoshima, Shoichi, 2011. FEM analysis of residual stress distribution near weld start/end location in thick plates. Comput. Mater. Sci. 50 (8), 2459-2469. https://doi.org/10.1016/j.commatsci.2011.03.027
  3. Genchev, Gancho, Doynov, Nikolay, Ossenbrink, Ralf, et al., 2017. Residual stresses formation in multi-pass weldment: a numerical and experimental study. J. Constr. Steel Res. 138, 633-641. https://doi.org/10.1016/j.jcsr.2017.08.017
  4. Gharibshahiyan, E., Raouf, A.H., Parvin, N., Rahimian, M., 2011. The effect of microstructure on hardness and toughness of low carbon welded steel using inert gas welding. Mater. Des. 32 (4), 2042-2048. https://doi.org/10.1016/j.matdes.2010.11.056
  5. Goldak, J.A., Akhlaghi, Mehdi, 2005. Computational Welding Mechanics. Springer, Ottawa.
  6. Hwang, Seyun, Kim, Yooil, Lee, Janghyun, 2016. Finite element analysis of residual stress distribution in a thick plate joined using two-pole tandem electro-gas welding. J. Mater. Process. Technol. 229, 349-360. https://doi.org/10.1016/j.jmatprotec.2015.09.037
  7. Ion, J.C., Easterling, K.E., 2000. Proceedings of Third Scandanavian Symposium in Material Science. Finland, Oslo, pp. 79-85.
  8. Ion, J.C., Easterling, K.E., Ashby, M.F., 1984. A second report on diagrams of microstructure and hardnesses for Heat-affected zones in welds. Acta Metall. 32, 1949-1962. https://doi.org/10.1016/0001-6160(84)90176-7
  9. James, M.N., Hughes, D.J., Chen, Z., Lombard, H., Hattingh, D.G., Asquith, D., Yates, J.R., Webster, P.J., 2007. Residual stresses and fatigue performance. Eng. Fail. Anal. 14 (2), 384-395. https://doi.org/10.1016/j.engfailanal.2006.02.011
  10. Kasuya, T., Yurioka, N., Okumura, M., 1995. Methods for predicting maximum hardness of heat-affected zone and selecting necessary preheat temperature for steel welding. Nippon Steel Tech. Rep. (4), 7-14.
  11. Kirkaldy, J.S., Venugopalan, D., 1983. Prediction of microstructure and hardnesse ability in low alloy steels, Phase transformation in Ferrous alloys. Proc. Int. Conf. 4-6.
  12. Ma, Ninshu, 2015. An accelerated explicit method and GPU parallel computing for thermal stress and welding deformation for large structural models. Int. J. Adv. Manuf. Technol. 87 (5-8), 2195-2211.
  13. Ma, N., Wang, J., Okumoto, Y., 2015a. Out-of-plane welding distortion prediction and mitigation in stiffened welded structures. Int. J. Adv. Manuf. Technol. 84 (5-8), 1371-1389.
  14. Ma, Ninshu, Cai, Zhipeng, Deng, Dean, et al., 2015b. Investigation of welding residual stress in flash-butt joint of U71Mn rail steel by numerical simulation and experiment. Mater. Des. 88, 1296-1309. https://doi.org/10.1016/j.matdes.2015.08.124
  15. Murakawa, H., Ma, N., Huang, H., 2015. Iterative substructure method employing concept of inherent strain for large scale welding problem. Weld. World 59 (1), 53-63. https://doi.org/10.1007/s40194-014-0178-z
  16. Pagliaro, P., Prime, M.B., Swenson, H., Zuccarello, B., 2010. Measuring multiple residual-stress components using the contour method and multiple cuts. Exp. Mech. 50 (2), 187-194. https://doi.org/10.1007/s11340-009-9280-3
  17. Prime, M.B., 2000. Cross-sectional mapping of residual stresses by measuring the surface contour after a cut. J. Eng. Mater. Technol. 123 (2), 162-168. https://doi.org/10.1115/1.1345526
  18. Qiang, Bin, Li, Yadong, Yao, Changrong, et al., 2018. Through-thickness distribution of residual stresses in Q345qD butt-welded steel plates. J. Mater. Process. Technol. 251, 54-64. https://doi.org/10.1016/j.jmatprotec.2017.08.001
  19. Radaj, D., 2012. Heat Effects of Welding: Temperature Field, Residual Stress, Distortion. Springer Science & Business Media.
  20. Rangaswamy, P., Griffith, M.L., Prime, M.B., Holden, T.M., Rogge, R.B., Edwards, J.M., Sebring, R.J., 2005. Residual stresses in LENS® components using neutron diffraction and contour method. Mater. Sci. Eng. A 399 (1-2), 72-83. https://doi.org/10.1016/j.msea.2005.02.019
  21. Wan, Yu, Jiang, Wenchun, Li, Jian, et al., 2017. Weld residual stresses in a thick plate considering back chipping: neutron diffraction, contour method and finite element simulation study. Mater. Sci. Eng. A 699, 62-70. https://doi.org/10.1016/j.msea.2017.05.079
  22. Wang, J., Rashed, S., Murakawa, H., 2014. FE analysis of buckling behavior caused by welding in thin plates of high tensile strength steel. J. Mater. Eng. Perform. 23(12), 4358-4365. https://doi.org/10.1007/s11665-014-1230-2
  23. Webster, G.A., Ezeilo, A.N., 2001. Residual stress distributions and their influence on fatigue lifetimes. Int. J. Fatigue 23, 375-383. https://doi.org/10.1016/S0142-1123(01)00133-5
  24. Withers, P.J., Turski, M., Edwards, L., Bouchard, P.J., Buttle, D.J., 2008. Recent advances in residual stress measurement. Int. J. Press. Vessel. Pip. 85 (3), 118-127. https://doi.org/10.1016/j.ijpvp.2007.10.007
  25. Xue, W., Lei, H., Qiang, X., et al., 2017. Influence of martensitic transformation on welding residual stress in plates and pipes. Sci. Technol. Weld. Join. 22 (6), 505-511. https://doi.org/10.1080/13621718.2016.1263711
  26. Yu, Lina, Nakabayashi, Yuma, Sasa, Masato, et al., 2011. Neural network prediction of hardness in HAZ of temper bead welding using the proposed thermal cycle tempering parameter (TCTP). ISIJ Int. 51, 1506-1515. https://doi.org/10.2355/isijinternational.51.1506

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