Modelling of Cooling and Recrystallization Kinetics during Self-Annealing of Aluminium Coils

Article Preview

Abstract:

Study proposes a coil temperature model for aluminium alloys. The mathematical model is based on the 3D finite element method, which is implemented in MATLAB® using object-oriented programming approach. Owing to the used approach, several cooling steps of the coil can be performed including the coil transport and cooling in the storage area after the hot rolling. Individual cooling phases feature specific boundary conditions and time segments. The coefficients for the boundary conditions of the specific cooling phase were determined using parameter identification strategy. Furthermore, the temperature distribution of coil is used for the calculation the static recrystallization and grain size during coil cooling. The temperature model was validated within sufficient accuracy for each cooling phase using experimental data of the coil cooling after the conventional hot rolling at the Arconic’s plant in Samara, Russia.

You have full access to the following eBook

Info:

* - Corresponding Author

[1] E. Aryshenskii, R. Kawalla, J. Hirsch, Development of New Fast Algorithms for Calculation of Texture Evolution during Hot Continuous Rolling of Al–Fe Alloys, steel research int. (2017) 1700053-n/a.

DOI: 10.1002/srin.201700053

Google Scholar

[2] J. Hirsch, Through Process Modelling, Materials Science Forum 519-521 (2006) 15–24.

Google Scholar

[3] S.V. Rushchits, E.V. Aryshenskii, R. Kawalla, V. Serebryany, Investigation of Texture Structure and Mechanical Properties Evolution during Hot Deformation of 1565 Aluminum Alloy, Materials Science Forum 854 (2016) 73–78.

DOI: 10.4028/www.scientific.net/msf.854.73

Google Scholar

[4] J. Hjelen, R. Ørsund, E. Nes, On the origin of recrystallization textures in aluminium, Acta Metallurgica et Materialia 39 (1991) 1377–1404.

DOI: 10.1016/0956-7151(91)90225-p

Google Scholar

[5] M.A. Wells, I.V. Samarasekera, J.K. Brimacombe, E.B. Hawbolt, D.J. Lloyd, Modeling the microstructural changes during hot tandem rolling of AA5XXX aluminum alloys: Part III. Overall model development and validation, Metallurgical and Materials Transactions B 29 (1998).

DOI: 10.1007/s11663-998-0106-y

Google Scholar

[6] J. Hirsch, Texture Evolution and Earing in Aluminium Can Sheet, Materials Science Forum 495-497 (2005) 1565–1572.

DOI: 10.4028/www.scientific.net/msf.495-497.1565

Google Scholar

[7] S. -J. Park, B. -H. Hong, S.C. Baik, K.H. Oh, Finite Element Analysis of Hot Rolled Coil Cooling, ISIJ International 38 (1998) 1262–1269.

DOI: 10.2355/isijinternational.38.1262

Google Scholar

[8] A. Nam, U. Prüfert, M. Eiermann, R. Kawalla, Numerical Modeling of Thermal Evolution in Hot Strip Rolling of Magnesium Alloy, Key Engineering Materials 651-653 (2015) 207–212.

DOI: 10.4028/www.scientific.net/kem.651-653.207

Google Scholar

[9] K. Karhausen, W. Schneider, Effect of Material Property Changes on the Performance of Al Rolling Mills, Materials Science Forum 638-642 (2010) 247–254.

DOI: 10.4028/www.scientific.net/msf.638-642.247

Google Scholar

[10] Michael J. Ryan, Stephen G. R. Brown, Peter J. Eva, The Effect of Hot Mill Processing Temperature Variations on Final Coil Properties of Hot Rolled Steels, PR-362-179 - 2012 AISTech Conference Proceedings (2012) 1591–1600.

Google Scholar

[11] S.S. Sahay, B.V. Harish Kumar, S.J. Krishnan, Microstructure evolution during batch annealing, Journal of Materials Engineering and Performance 12 (2003) 701–707.

DOI: 10.1361/105994903322692510

Google Scholar

[12] Z.D. Liu, D.Q. Jin, Samarasekera IV, J.K. Brimacombe, The application of microstructure engineering in steel coil cooling process, J. of Iron and Steel Research Intl 12 (2005).

Google Scholar

[13] J. Hirsch, K. Karhausen, R. Kopp, Microstructure Simulation During Hot Rolling Of Al-Mg Alloys, ICAA4, Proceedings of the 4th International Conference on Al alloys, Atlanta/GA USA (1994).

Google Scholar

[14] D.W. Hahn, M.N. Özișik, Heat conduction, third. ed., [elektronische Ressource], Wiley, Hoboken, NJ, (2012).

Google Scholar

[15] M.N. Özişik, Heat conduction, third. ed., Wiley, New York, (2012).

Google Scholar

[16] M. Pietrzyk, L. Madej, L. Rauch, D. Szeliga, Computational Materials Engineering: Achieving High Accuracy and Efficiency in Metals Processing Simulations, Elsevier Science & Technology Books, (2015).

DOI: 10.1016/b978-0-12-416707-0.00006-5

Google Scholar

[17] E.V. Aryshenskii, V.Y. Aryshenskii, A.F. Grechnikova, E.D. Beglov, Evolution of Texture and Microstructure in the Production of Sheets and Ribbons from Aluminum Alloy 5182 in Modern Rolling Facilities, Metal Science and Heat Treatment 56 (2014).

DOI: 10.1007/s11041-014-9760-7

Google Scholar

[18] V.Y. Aryshenskii, Development of a mechanism of the desirable anisotropy and mechanical properties formation during hot rolling of aluminum strip for deep drawing. habilitation thesis, Samara, (2002).

Google Scholar

[19] S.P. Chen, Recovery and Recrystallization Kinetics in AA1050 and AA3003 Aluminium Alloys (2003).

Google Scholar

[20] M.S. Kaiser, Fractional Recrystallization Behaviour of Al-Mg Alloy with Different Sc Addition Content (2014).

DOI: 10.12720/ijmse.2.2.136-140

Google Scholar