Skip to main content
SpringerLink
Log in

Microstructure and texture evolution of cold-rolled deep-drawing steel sheet during annealing

  • Published:
International Journal of Minerals, Metallurgy, and Materials Aims and scope Submit manuscript

Abstract

In accordance with experimental results about the annealing microstructure and texture of cold-rolled deepdrawing sheet based on the compact strip production (CSP) process, a two-dimensional cellular automation simulation model, considering real space and time scale, was established to simulate recrystallization and grain growth during the actual batch annealing process. The simulation results show that pancaked grains form during recrystallization. {111} advantageous texture components become the main parts of the recrystallization texture. After grain growth, the pancaked grains coarsen gradually. The content of {111} advantageous texture components in the annealing texture increases from 55vol% to 65vol%; meanwhile, the contents of {112}〈110〉 and {100}〈110〉 texture components decrease by 4% and 8%, respectively, compared with the recrystallization texture. The simulation results of microstructure and texture evolution are also consistent with the experimental ones, proving the accuracy and usefulness of the model.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. T.A. Walasek, Experimental verification of Monte Carlo recrystallization model, J. Mater. Process. Technol., 157–158(2004), p. 262.

    Article  Google Scholar 

  2. G. Kugler and R. Turk, Study of the influence of initial microstructure topology on the kinetics of static recrystallization using a cellular automata model, Comput. Mater. Sci., 37(2006), No. 3, p. 284.

    Article  CAS  Google Scholar 

  3. S.W. Jiang, G.Q. Zhao, X.J. Guan, and Z.C. Wang, Monte Carlo simulation of microstructure evolution of cold rolled steel sheets during annealing, J. Iron Steel Res., 14(2002), No. 5, p. 53.

    CAS  Google Scholar 

  4. A.D. Rollet and D. Raabe, A hybrid model for mesoscopic simulation of recrystallization, Comput. Mater. Sci., 21(2001), No. 1, p. 69.

    Article  Google Scholar 

  5. D. Raabe, Cellular automata in materials science with particular reference to recrystallization simulation, Annu. Rev. Mater. Res., 32(2002), p. 53.

    Article  CAS  Google Scholar 

  6. X.G. Jin, The simulation of cellular automata based on Matlab, Comput. Simul., 19(2002), No. 4, p. 27.

    Google Scholar 

  7. W.H. Yu and D. Wright, Cellular automata modelling of phase-change memories, J. Univ. Sci. Technol. Beijing, 15(2008), No. 4, p. 444.

    Article  CAS  Google Scholar 

  8. C.H.J. Davies and L. Hong, The cellular automaton simulation of static recrystallization in cold-rolled AA1050, Scripta Mater., 40(1999), No. 10, p. 1145.

    Article  CAS  Google Scholar 

  9. W.B. Hutchinson, Development and control of annealing textures in low-carbon steels, Int. Met. Rev., 29(1984), No. 1, p. 25.

    CAS  Google Scholar 

  10. F.G. Wilson and T. Gladman, Aluminium nitride in steel, Int. Mater. Rev., 33(1988), No. 5, p. 221.

    Article  CAS  Google Scholar 

  11. S.H. Choi and Y.S. Jin, Evaluation of stored energy in cold-rolled steels from EBSD data, Mater. Sci. Eng. A, 371(2004), No. 1–2, p. 149.

    Google Scholar 

  12. M. Oyarzábal, A. Martínez-de-Guerenu, and I. Gutiérrez, Effect of stored energy and recovery on the overall recrystallization kinetics of a cold rolled low carbon steel, Mater. Sci. Eng. A, 485(2008), No. 1–2, p. 200

    Google Scholar 

  13. E. Nes, Recovery revisited, Acta Metall. Mater., 43(1995), No. 6, p. 2189.

    Article  CAS  Google Scholar 

  14. Y. Nagataki and Y. Hosoya, Origin of the recrystallization texture formation in an interstitial free steel, ISIJ Int., 36(1996), No. 4, p. 451.

    Article  CAS  Google Scholar 

  15. R. Mendoza, A. Molina, F. Serrania, and J.A. Juarez-Islas, Mechanical properties of a recrystallized low carbon steel, Scripta Mater., 48(2003), No. 4, p. 391.

    Article  CAS  Google Scholar 

  16. T. Watanabe, K.I. Arai, K. Yoshimi, and H. Oikawa, Texture and grain boundary character distribution (GBCD) in rapidly solidified and annealed Fe-6.5 mass% Si ribbons, Philos. Mag. Lett., 59(1989), No. 2, p. 47.

    Article  CAS  Google Scholar 

  17. S.Q. Cao, J.X. Zhang, J.S. Wu, and J.G. Chen, Study of texture and grain boundary character distributions of IF steels, Acta Metall. Sin., 40(2004), No. 10, p. 1045.

    CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing, 100083, China

    Le-yu Zhou, Lei Wu, Ya-zheng Liu, Xiao-jie Cheng & Jin-hong Sun

Authors
  1. Le-yu Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lei Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ya-zheng Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xiao-jie Cheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jin-hong Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Le-yu Zhou.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhou, Ly., Wu, L., Liu, Yz. et al. Microstructure and texture evolution of cold-rolled deep-drawing steel sheet during annealing. Int J Miner Metall Mater 20, 541–548 (2013). https://doi.org/10.1007/s12613-013-0763-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12613-013-0763-y

Keywords

Search

Navigation