Skip to main content
Log in

Continuous dynamic recrystallization (CDRX) model for aluminum alloys

  • Metals
  • Published:
Journal of Materials Science Aims and scope Submit manuscript

Abstract

The control of a microstructure, during and after hot forming, is crucial to tailor optimum mechanical properties for specific applications. Recrystallization is a key process which may contribute to a great extent to microstructure development. Dynamic recrystallization is becoming an attracting research area to investigate novel hot forming routes in order to maximize the performance of aluminum products while shortening the time required for manufacturing. A continuous dynamic recrystallization (CDRX) mathematical model was developed by Gourdet–Montheillet (GM) to predict the inherent phenomena of an AA1200 alloy. In the present work, the original GM model has been extended and applied to study CDRX in a 5052 aluminum alloy. The proposed model embodies a solid solution and second phase strengthening, through newly estimated kinetic factors and a kinetic constant, respectively, to discern the CDRX behavior of 5052 aluminum alloy compared to AA1200. The latter kinetic constant relies on the Kocks–Mecking–Estrin (KME) theory. The input law of the fraction of high angle boundaries (f HAB), as a function of strain (ε) (but independent of temperature and strain rate), is defined as the best fitting function of the experimental data. The results are presented in terms of stress–strain curves, dislocation density, and (sub) grain size, as these are important design parameters from an industrial and engineering viewpoint. The model has been validated successfully, from both a qualitative and quantitative point of view, against various literature data sources and tests (e.g., hot compression, hot plane strain compression, and equal channel angular pressing) pertaining to the 5052 alloy and other similar Al–Mg alloys.

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.

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10

Similar content being viewed by others

References

  1. Hirsch J, Grenz R (1998) Microstructure control on an aluminium hot reversing finishing mill. In: Bieler T et al (eds) Hot deformation of aluminum alloys II. TMS Symposium, Illinois, pp 305–316

    Google Scholar 

  2. Hirsch J, Karhausen KF, Engler O (2004) Property control in production of aluminum sheet by use of simulation. In: Roters F, Barlat F, Chen LQ, Raabe D (eds) Continuum scale simulation of engineering materials: fundamentals—microstructures—process applications. Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim

    Google Scholar 

  3. Vatne HE, Marthinsen K, Ørsund R, Nes E (1996) Modeling recrystallization kinetics, grain sizes, and textures during multipass hot rolling. Metall Mater Trans A 27(12):4133–4144

    Article  Google Scholar 

  4. Humphreys FJ, Hatherly M (2004) Recrystallization and related annealing phenomena. Elsevier, Amsterdam ISBN:978-0-08-044164-1

    Google Scholar 

  5. Wells MA, Lloyd DJ, Samarasekera IV, Brimacombe K, Hawbolt EB (1998) Modeling the microstructural changes during hot tandem rolling of AA5XXX aluminum alloys: Part I. Microstructural evolution. Metall Mater Trans B 29(3):611–620

    Article  Google Scholar 

  6. Huang K, Logé RE (2016) A review of dynamic recrystallization phenomena in metallic materials. Mater Des 111:548–574

    Article  Google Scholar 

  7. Yamagata H (1995) Dynamic recrystallization and dynamic recovery in pure aluminum at 583 K. Acta Metall et Mater 43(2):723–729

    Article  Google Scholar 

  8. Sakai T, Belyakov A, Kaibyshev R, Miura H, Jonas JJ (2014) Dynamic and post-dynamic recrystallization under hot, cold and severe plastic deformation conditions. Prog Mater Sci 60:130–207

    Article  Google Scholar 

  9. McQueen HJ, Cellier OC (1996) Application of hot workability studies to extrusion processing: Part II. Microstructural development and extrusion of Al, Al–Mg, and Al–Mg–Mn alloys. Can Metall Q 35(4):305–319

    Google Scholar 

  10. Kaibyshev R, Shipilova K, Musin F, Motohashi Y (2005) Continuous dynamic recrystallization in an Al–Li–Mg–Sc alloy during equal-channel angular extrusion. Mater Sci Eng A 396:341–351

    Article  Google Scholar 

  11. McQueen HJ, Knustad O, Ryum N, Solberg JK (1985) Microstructural evolution in Al deformed to strains of 60 at 400°C. Scripta Metall 19(1):73–78

    Article  Google Scholar 

  12. De Pari L, Jr Misiolek WZ (2008) Theoretical predictions and experimental verification of surface grain structure evolution for AA6061 during hot rolling. Acta Mater 56(20):6174–6185

    Article  Google Scholar 

  13. Lyttle MT, Wert JA (1994) Modelling of continuous recrystallization in aluminum alloys. J Mater Sci 29:3342–3350. https://doi.org/10.1007/BF00356683

    Article  Google Scholar 

  14. Gourdet S (1997) Etude des mecanismes de recristallisation au cours de la deformation a chaud de l’aluminium. Ph.D. Thesis. Saint-Etienne: Material chemistry. Ecole Nationale Superieure des Mines de Saint-Etienne

  15. Gourdet S, Montheillet F (2003) A model of continuous dynamic recristallization. Acta Mater 51(03):1359–6454

    Google Scholar 

  16. Le KC, Kochmann DM (2009) A simple model for dynamic recrystallization during severe plastic deformation. Arch Appl Mech 79:579–586

    Article  Google Scholar 

  17. Fischer FD, Schmid E (2007) Moving interfaces in crystalline solids. Springer, London ISBN:3-211-23899-9

    Google Scholar 

  18. Taylor GI, Quinney H (1934) The latent energy remaining in a metal after cold working. Proc R Soc A 143:307–326

    Article  Google Scholar 

  19. McQueen HJ, Kassner ME (2004) Comments on “a model of continuous dynamic recrystallization” proposed for aluminum. Scripta Mater 51:461–465

    Article  Google Scholar 

  20. Bahrami A (2010) Ph.D. thesis—modeling of precipitation sequence and ageing kinetics in Al–Mg–Si alloys

  21. Kowalski B, Lacey AJ, Sellars CM (2003) Correction of plane strain compression data for the effects of inhomogeneous deformation. Mater Sci Technol 19(11):1564–1570

    Article  Google Scholar 

  22. Furu T, Ørsund R, Nes E (1996) Substructure evolution during different hot deformation processes of commercial non-heat treatable aluminum alloys. Mater Sci Eng A 214:I22–I32

    Article  Google Scholar 

  23. Wang Y, Peng J, Zhong L, Pan F (2016) Modeling and application of constitutive model considering the compensation of strain during hot deformation. J Alloy Compd 681:455–470

    Article  Google Scholar 

  24. Mogucheva A, Babich E, Ovsyannikov B, Kaibyshev R (2013) Microstructural evolution in a 5024 aluminum alloy processed by ECAP with and without back pressure. Mater Sci Eng: A 560:178–192

    Article  Google Scholar 

  25. Sitdikov O, Sakai T, Avtokratova E, Kaibyshev R, Kimura Y, Tsuzaki K (2007) Grain refinement in a commercial Al–Mg–Sc alloy under hot ECAP conditions. Mater Sci Eng A 444(1):18–30

    Article  Google Scholar 

  26. Chen YC, Huang YY, Chang CP, Kao PW (2003) The effect of extrusion temperature on the development of deformation microstructures in 5052 aluminium alloy processed by equal channel angular extrusion. Acta Mater 51(7):2005–2015

    Article  Google Scholar 

  27. Yamashita A, Yamaguchi D, Horita Z, Langdon TG (2000) Influence of pressing temperature on microstructural development in equal-channel angular pressing. Mater Sci Eng A 287(1):100–106

    Article  Google Scholar 

  28. Guo-Zheng Q (2013) Characterization for dynamic recrystallization kinetics based on stress–strain curves. In: Wilson P (ed) Recent developments in the study of recrystallization

  29. Beynon JH, Sellars CM (1992) Modelling microstructure and its effects during multipass hot rolling. ISIJ Int 32(3):359–367

    Article  Google Scholar 

  30. Hirsch J (2009) Hot formability and texture formation in Al alloys. Mater Sci Forum 604:259–266

    Article  Google Scholar 

  31. Tang JG, Huang XX, Zhang XM (2012) Hot-compression behavior of Al alloy 5182. J Cent South Univ 19:2073–2080

    Article  Google Scholar 

  32. Wang CS, Wang HX, Li JB, Zhang J (2011) Experiment on hot rolling deformation resistance of aluminum alloy and mathematical modeling. Adv Mater Res 314:409–414

    Google Scholar 

  33. Gholinia A, Humphreys FJ, Prangnell PB (2002) Production of ultra-fine grain microstructures in Al–Mg alloys by coventional rolling. Acta Mater 50(18):4461–4476

    Article  Google Scholar 

  34. Duly D, Baxter GJ, Shercliff HR, Whiteman JA, Sellars CM, Ashby MF (1996) Microstructure and local crystallographic evolution in an Al-1wt% Mg alloy deformed at intermediate temperature and high strain-rate. Acta Mater 44(7):2947–2962

    Article  Google Scholar 

  35. Daaland O, Nes E (1996) Origin of cube texture during hot rolling of commercial Al–Mn–Mg alloys. Acta Mater 44(4):1389–1411

    Article  Google Scholar 

  36. Doherty RD, Hughes DA, Humphreys FJ, Jonas JJ, Jensen DJ, Kassner ME, King WE, McNelley TR, McQueen HJ, Rollett AD (1997) Current issues in recrystallization: a review. Mater Sci Eng A 238:219–274

    Article  Google Scholar 

  37. Carmona R, Zhu Q, Sellars CM, Beynon JH (2005) Controlling mechanisms of deformation of AA5052 aluminium alloy at small strains under hot working conditions. Mater Sci Eng A 393:157–163

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Giovanni Maizza.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Appendix 1

Appendix 1

The f HAB computed by the GM model has been criticized as being unrealistic [19]. GM predicted that f HAB decreased with increasing plastic strain, until it reached a plateau at approximately 0.2. Conversely, ECAP experiments have shown that the Al–Li–Mg–Sc alloy could achieve f HAB > 0.9 for larger strains than 8 [10], as shown in Fig. 10. In order to resolve this inconsistency, we fitted f HAB data from a hot compression test for AA5052 [14] using Eq. (9):

$$ f_{\text{HAB}} = K_{1} \exp \left\{ { K_{2} \varepsilon } \right\} + K_{3} \exp \left\{ { K_{4} \varepsilon } \right\} $$
(9)

As shown in Fig. 11, the f HAB value in Eq. (9) can reach greater values than 1 for larger strains than 3.5, which is physically unacceptable. A more realistic relationship between f HAB and ε for the A5052 alloy under study can be achieved by fitting ECAP experiment (ε > 8, 300 °C and 0.1 s−1) and compression data (ε < 2, 333 °C and 0.01 s−1) for the Al–Li-Mg–Sc [10] and A5052 [14] alloys, respectively, using the following piecewise-defined function:

$$ f_{\text{HAB}} = \left\{ {\begin{array}{*{20}l} {K_{1} \exp \left\{ { K_{2} \varepsilon } \right\} + K_{3} \exp \left\{ { K_{4} \varepsilon } \right\}, } \hfill & {\varepsilon < 1.9} \hfill \\ {1 - K_{5} \exp \left\{ { - K_{6} \varepsilon } \right\},} \hfill & {\varepsilon \ge 1.9} \hfill \\ \end{array} } \right. $$
(10a, b)
Figure 11
figure 11

Best fitted f HAB − ε law (Eq. 9) compared with HCT experiments for A5052 at 333 °C and 0.01 s−1 [14]

As shown in [25], even very different aluminum alloys can exhibit qualitatively similar f HAB − ε laws. This implies that considering the lack of more specific data on AA5052, the f HAB − ε law (Eq. 10) of the latter could be approximated with that of Al–Li-Mg–Sc with the constants listed in Table 2. These model parameters are quite sensitive.

Table 2 Coefficients used in Eqs. (9) and (10)

Figure 10 shows the results of the best fitting. Initially, the fraction of HABs was close to 0.9, and it then dropped to 0.2 at ε = 0.5. For ε > 0.5, f HAB increased with increasing strain and asymptotically approached f HAB = 1. The use of empirical Eq. (10) was found to be effective in describing the overall f HAB − ε law for both low strains (Eq. 10a for ε < 1.9) and high strains (Eq. 10b, for ε > 1.9), which are typical of hot rolling and severe plastic deformation, respectively. However, there was a lack of experimental data on the influence of the temperature and strain rate on f HAB − ε law for the AA5052 even though it was possible to show that the influence of the temperatures and strain rates on f HAB, predicted by means of the GM model [15], was negligible for AA1200 over the 277–460 °C and 0.01–1 s−1 ranges. Moreover, certain experiments [25] have shown that f HAB − ε data of a large set of Al–Mg alloys fit well with one single curve for different temperatures (over the 20–400 °C range) and for larger strains than ε = 1. Thus, it was reasonable to assume that Eq. (10) had to be independent of the temperature and strain rates.

Preliminary attempts were made with the aim of calculating f HAB by applying GM model [15] to AA5052 by simply adjusting the model parameters. The result is shown in Fig. 10. As can be seen, the predicted f HAB started from 1 and dropped to a plateau of 0.22, even after very small strains, unlike what was found in experiments [10, 14, 25].

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Maizza, G., Pero, R., Richetta, M. et al. Continuous dynamic recrystallization (CDRX) model for aluminum alloys. J Mater Sci 53, 4563–4573 (2018). https://doi.org/10.1007/s10853-017-1845-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10853-017-1845-4

Keywords

Navigation