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Morphology and texture characterization of grains in laser welding of aluminum alloys

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Abstract

Grain morphology and texture of welds significantly affect the properties of the corresponding joint. It is very important to determine how heat and grain growth during welding correlate. Our studies involved both experiments and multi-scale numerical modeling. The laser welding temperature distribution was studied by the macroscopic finite element method. The grain growth and morphology evolution under different heat input conditions were calculated by the Monte Carlo method at the mesoscale. The relationship between heat flow distribution and grain orientation was established. Results of electron backscattered diffraction (EBSD) were compared to those obtained by numerical modeling. The welding heat input affected the heat flow distribution and the shape of the molten pool, which, in turn, influenced grain morphology and crystal orientation.

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References

  1. Zhao H, White DR, DebRoy T (1999) Current issues and problems in laser welding of automotive aluminium alloys. Int Mater Rev 44(6):238–266

    Article  CAS  Google Scholar 

  2. Matsuda F, Hashimoto T, Senda T (1969) . Trans Natl Res Inst Mete (Jpn) 11(1):83

    Google Scholar 

  3. Davies GJ, Garland JG (1975) Solidification structures and properties of fusion welds. Int Met Rev 20:83–105

    Article  CAS  Google Scholar 

  4. Savage WF (1980) Solidification, segregation, imperfections, weld. World 18:89

    CAS  Google Scholar 

  5. Chen SJ, Guillemot G, Gandin C-A (2016) Three-dimensional cellular automaton-finite element modeling of solidification grain structures for arc-welding processes. Acta Mater 115:448–467

    Article  CAS  Google Scholar 

  6. Wei YH, Zhan XH, Dong ZB et al (2007) Numerical simulation of columnar dendritic grain growth during weld solidification process. Sci Tech Weld Join 12(2):138–146

    Article  Google Scholar 

  7. Mishra S, DebRoy T (2006) Non-isothermal grain growth in metals and alloys. J Mater Sci Tech 22(3):253–278

    Article  CAS  Google Scholar 

  8. Wei HL, Elmer JW, DebRoy T (2017) Crystal growth during keyhole mode laser welding. Acta Mater 133:10–20

    Article  CAS  Google Scholar 

  9. Rodgers TM, Mitchell JA, Tikare VA (2017) Monte Carlo model for 3D grain evolution during welding. Model Simul Sci Eng 25(6):064006

    Article  Google Scholar 

  10. Kang Y, Zhan XH, Qi CQ et al (2019) Grain growth and texture evolution of weld seam during solidification in laser beam deep penetration welding of 2219 aluminum alloy. Mater Res Express 6(11):1165e3

    Article  Google Scholar 

  11. Farzadi A, Serajzadeh S, Kokabi AH (2008) Modeling of heat transfer and fluid flow during gas tungsten arc welding of commercial pure aluminum. Int J Adv Manuf Technol 38:258–267

    Article  Google Scholar 

  12. Geng SN, Jiang P, Guo LY et al (2020) Multi-scale simulation of grain/sub-grain structure evolution during solidification in laser welding of aluminum alloys. Int J Heat Mass Transf 119252:149

    Google Scholar 

  13. Chen C, Lin YJ, Ou H et al (2018) Study of heat source calibration and modelling for laser welding process. Int J Precis Eng Manuf 19(8):1239–1244

    Article  Google Scholar 

  14. Rodgers TM, Madisonb JD, Tikarec V (2017) Simulation of metal additive manufacturing microstructures using kinetic Monte Carlo. Comp Mater Sci 135:78–79

    Article  Google Scholar 

  15. Gao J, Thompson RG (1996) Real time-temperature models for Monte Carlo simulations of normal grain growth. Acta Mater 44(11):4565–4570

    Article  CAS  Google Scholar 

  16. Wei HL, Elmer JW, DebRoy T (2017) Three-dimensional modeling of grain structure evolution during welding of an aluminum alloy. Acta Mater 126:413–425

    Article  CAS  Google Scholar 

  17. Mitchell JA, Tikare V (2016) A model for grain growth during welding. Sandia National laboratory(US) SAND2016-11070

  18. Plimpton S, Battaile C, Chandross M et al (2009) Crossing the mesoscale no-man’s land via parallel kinetic Monte Carlo. Sandia National Laboratory(US), SAND2009-6226. http://spparks.sandia.gov

  19. Garcia AL, Tikare V, Holm EA (2008) Three-dimensional simulation of grain growth in a thermal gradient with non-uniform grain boundary mobility. Scripta Mater 59(6):661–664

    Article  CAS  Google Scholar 

  20. Mishra S (2003) Grain growth in the heat-affected zone of Ti-6Al-4Valloy welds: measurements and MC simulations[master’s thesis]. The Pennsylvania State University, Pittsburgh PA

  21. Wei HL, Knapp GL, Mukherjee T et al (2019) Three-dimensional grain growth during multi-layer printing of a nickel-based alloy Inconel 718. Addit Manuf 25:448–459

    CAS  Google Scholar 

  22. Kou S (2003) Welding metallurgy. 2nd ed. Chapter 7, Weld metal solidification I: Grain structure,170-178, Wiley & Sons Inc., New Jersey(US)

  23. Bolzoni L, Xia M, Babu NH (2016) Formation of equiaxed crystal structures in directionally solidified Al-Si alloys using Nb-based heterogeneous nuclei. Sci Reports 6:39554

    CAS  Google Scholar 

  24. Lippold JC (2015) Welding metallurgy and weldability,18-30, John Wiley & Sons Inc., New Jersey(US)

  25. Hector LG, Chen YL, Agarwal S et al (2004) Texture characterization of autogenous Nd:YAG laser welds in AA5182-o and AA6111-t4 aluminum alloys. Metall Mater Trans A 35(9):3032–3038

    Article  Google Scholar 

  26. Boumerzoug Z, Chérifi N, Baudin T (2014) Texture in welded industrial aluminum. Mech Mater 563:7–12

    Article  Google Scholar 

Download references

Funding

This work received support from the National Natural Science Foundation of China through Grant (No. 51105049).

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Authors and Affiliations

  1. Department of Welding Technology and Engineering, Dalian Jiaotong University, Dalian, People’s Republic of China

    Qihan Gao, Cheng Jin & Zhibin Yang

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  1. Qihan Gao
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  2. Cheng Jin
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  3. Zhibin Yang
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Correspondence to Cheng Jin.

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Recommended for publication by Commission IX - Behaviour of Metals Subjected to Welding

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Gao, Q., Jin, C. & Yang, Z. Morphology and texture characterization of grains in laser welding of aluminum alloys. Weld World 65, 475–483 (2021). https://doi.org/10.1007/s40194-020-01017-8

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