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MATERIALS SCIENCE
Название Developing a new method for calculating the nuclei of orientations during aluminum alloys recrystallization
DOI 10.17580/tsm.2025.02.10
Автор Aryshensky Е. V., Konovalov S. V., Beglov E. D., Aryshensky V. Yu.
Информация об авторе

Siberian State Industrial University, Novokuznetsk, Russia

Е. V. Aryshensky, Head of the Chair for Metal Forming and Materials Science, Chief Researcher of the Department of Scientific Research, Doctor of Engineering Sciences, Associate Professor, e-mail: ar-evgenii@yandex.ru
S. V. Konovalov, Vice Rector for Research and Innovation, Doctor of Technical Sciences, Professor, e-mail: konovalov@sibsiu.ru

 

JSC Samara Metallurgical Plant, Samara, Russia

E. D. Beglov, Manager, Candidate of Technical Sciences, e-mail: Erkin.Beglov@samara-metallurg.ru

 

Samara National Research University named after Academician S. P. Korolev, Samara, Russia
V. Yu. Aryshensky, Chief Researcher of the Industry Research Laboratory-4, Doctor of Technical Sciences, Professor, e-mail: Arysh54@mail.ru

Реферат

A new approach to modeling texture formation in aluminum alloys du ring their recrystallization is proposed. It is based on a previously developed method for calculating texture formation during deformation, which involves solving the problem of deformation of a solid at the macro level by the finite element method. In each layer with a homogeneous stress-strain state, a domain is defined, which is divided into finite elements. Each element corresponds to a crystallite having a specific crystallographic orientation. Next the domain deformation problem is solved based on the boundary conditions obtained from the solution at the macro level. A new approach to the nuclei calculation during recrystallization involves the use of finite elements with a high approximation order or the division of one crystallite into several finite elements. This approach makes it possible to find areas with deformation heterogeneity and thereby more accurately determine the number and type of nuclei of the recrystallized structure. The model is able to predict the number of nuclei formed at the boundaries of new grains, shear and cubic bands, as well as in areas with crystal lattice distortions due to the presence of intermetallides in the structure. To verify the performance of the model, we solved the problem of texture formation during self-annealing in a roll of AA8011 alloy after its hot rolling in a continuous train. Alloy AA8011 refers to deformable alloys of the Al – Fe system, which are likely to forming a sharp cube texture, therefore, the correct calculation of the nuclei of this orientation for alloy AA8011 is relevant. The results showed that, without taking into account the inhomogeneity of the deformation, the model predicts a smaller number of cubic textures and a larger number of β-fiber textures compared to experimental data. Taking into account the inhomogeneity of the deformation makes it possible to more accurately predict the proportion of cube and β-fiber textures. At the same time, to calculate the amount of Goss texture, the proposed method requires further development.
The research was carried out at the expense of a grant from the Russian Science Foundation, project 24-19-00590, https://rscf.ru/project/24-19-00590/.

Ключевые слова Recrystallization, modeling, aluminum, finite element method, texture, orientation distribution functions.
Библиографический список

1. Alattar A. L., Nikitina L. N., Bazhin V. Y. Increase in the physicomechanical properties of aluminum alloys reinforced with boron carbide particles. Russian Metallurgy (Metally). 2023. Vol. 2023. No. 6. pp. 688–694.
2. Lebedev A. B., Bazhin V. Yu., Zhadovskiy I. T. Physico-chemical process behind self-disintegration of sinter resulting in the production of aluminium oxide and calcium-orthosilicate. Tsvetnye Metally. 2024. No. 2. pp. 80–86.
3. Bazhin V. Y., Savchenkov S. A., Gordevnin N. A. Investigation of the ytterbium reduction process in the synthesis of Al–Yb master alloys for the modification of aluminum alloys. Non-Ferrous Metals. 2022. No. 2. pp. 65–72.
4. Deev V. B., Prusov E. S., Ri E. Kh., Shabaldin I. V. Modification of cast aluminum matrix composite materials with barium. Tsvetnye Metally. 2024. No. 4. pp. 15–20.
5. Dudareva N. Yu., Kolomeichenko A. V., Deev V. B. Corrosion resistance of ceramic coatings formed by microarc oxidation on aluminium alloy AK4-1. Tsvetnye Metally. 2024. No. 3. pp. 26–33.
6. Deev V., Prusov E., Ri E., Prihodko O. et al. Effect of melt overheating on structure and mechanical properties of Al-Mg-Si cast alloy. Metals. 2021. Vol. 11, Iss. 9. 1353.
7. Tsydenov K. A., Belov N. A., Shcherbakova O. O., Muraveva T. I. Joint effect of Fe, Si, Mg and Zn on the structure and mechanical properties of rolled sheets from alloy Al – 2 % Cu – 1.5 % Mn. Tsvetnye Metally. 2024. No. 3. pp. 57–65.
8. Akopyan T. K., Belov N. A., Letyagin N. V., Sviridova T. A. et al. New quaternary eutectic Al – Cu – Ca – Si system for designing precipitation hardening alloys. Journal of Alloys and Compounds. 2024. Vol. 993. 174695.
9. Belov N., Akopyan T., Naumova E., Doroshenko V. et al. Formation and characterization of Al10CaFe2 compound in Al – Ca – Fe alloys. Transactions of Nonferrous Metals Society of China. 2024. Vol. 34, Iss. 2. pp. 361–377.
10. Grechnikov F. V., Erisov Ya. A. Scientific foundations for creation of sheet materials with specified crystallography of structure for aerospace applications. Metal Science and Heat Treatment. 2018. No. 1. pp. 15–19.
11. Grechnikov F. V. Deforming of anisotropic materials: Intensification reserves. Мoscow : Mashinostroenie, 1998. 445 p.
12. Engler O. Effect of precipitation state on plastic anisotropy in sheets of the age-hardenable aluminium alloys AA 6016 and AA 7021. Materials Science and Engineering: A. 2022. Vol. 830. 142324.
13. Engler O., Knarbakk K. Temper rolling to control texture and earing in aluminium alloy AA 5050A. Journal of Materials Processing Technology. 2021. Vol. 288. 116910.
14. Engler O., Hirsch J. Polycrystal-plasticity simulation of six and eight ears in deep-drawn aluminum cups. Materials Science and Engineering: A. 2007. Vol. 452. pp. 640–651.
15. Engler O. Control of texture and earing in aluminium alloy AA 3105 sheet for packaging applications. Materials Science and Engineering: A. 2012. Vol. 538. pp. 69–80.
16. Hirsch J., Grechnikova A. F., Aryshensky E. V., Drits A. M. Microstructural evolution and crystallographic texture in the production of aluminium strips for food containers industry. Part 2. Tsvetnye Metally. 2018. No. 11.
pp. 62–69.
17. Grechnikov F. V., Erisov Y. A. Scientific foundations for creation of sheet materials with specified crystallography of structure for aerospace applications. Metal Science and Heat Treatment. 2018. Vol. 60. pp. 13–17.
18. Engler O., Hirsch J. Control of recrystallisation texture and texture-related properties in industrial production of aluminium sheet. International Journal of Mat erials Research. 2009. Vol. 100, Iss. 4. pp. 564–575.
19. Aryshensky E. V. Mechanisms and patterns of texture and properties formation in deformable aluminum alloys during recrystallization in thermomechanical treatment processes : thesis. … of Doctor of Technical Sciences. Samara, 2021. 327 p.
20. Hu Y., Miodownik M. A., Randle V. Experimental and computer model investigations of microtexture evolution of non-oriented silicon steel. Materials Science and Technology. 2008. Vol. 24, Iss. 6. pp. 705–710.
21. Anderson M. P., Grest G. S., Srolovitz D. J. Computer simulation of normal grain growth in three dimensions. Philosophical Magazine B. 1989. Vol. 59, Iss. 3. pp. 293–329.
22. Raabe D. Cellular automata in materials science with particular reference to recrystallization simulation. Annual Review of Materials Research. 2002. Vol. 32, Iss. 1. pp. 53–76.
23. Rajmohan N., Szpunar J. A. A new model for recrystallization of heavily cold-rolled aluminum using orientation-dependent stored energy. Acta Materialia. 2000. Vol. 48, Iss. 13. pp. 3327–3340.
24. Brahme A. et al. Modeling texture evolution during recrystallization in aluminum. Modelling and Simulation in Materials Science and Engineering. 2008. Vol. 17, Iss. 1. 015005.
25. Adam K. F., Long Z., Field D. P. Analysis of particle-stimulated nucleation (PSN)-dominated recrystallization for hot-rolled 7050 aluminum alloy. Metallurgical and Materials Transactions A. 2017. Vol. 48. pp. 2062–2076.
26. Aryshensky E., Hirsch J., Yashin V., Konovalov S. et al. Influence of local inhomogeneity of thermomechanical treatment conditions on microstructure evolution in aluminum alloys. Journal of Materials Engineering and Performance. 2018. Vol. 27. pp. 6780–6799.

27. Crumbach M., Goerdeler M., Gottstein G. Modelling of recrystallisation textures in aluminium alloys: I. Model set-up and integration. Acta Materialia. 2006. Vol. 54, Iss. 12. pp. 3275–3289.
28. Sebald R., Gottstein G. Modeling of recrystallization textures: interaction of nucleation and growth. Acta Materialia. 2002. Vol. 50, Iss. 6. pp. 1587–1598.
29. Adam K., Zöllner D., Field D. P. 3D microstructural evolution of primary recrystallization and grain growth in cold rolled single-phase aluminum alloys. Modelling and Simulation in Materials Science and Engineering. 2018. Vol. 26, Iss. 3. 035011.
30. Adam K. F., Field D. P. Analyzing recrystallization behavior of heterogeneous structures single-phase Al alloys. Acta Materialia. 2021. Vol. 19. 101190.
31. Vatne H. E., Furu T., Ørsund R., Nes E. Modelling recrystallization after hot deformation of aluminium. Acta Materialia. 1996. Vol. 44, Iss. 11. pp. 4463–4473.
32. Aryshensky E. V., Konovalov S. V., Aryshensky V. Yu., Beglov E. D. Developing a technique for mathematical modelling of texture components during rolling. Tsvetnye Metally. 2023. No. 6. pp. 65–72.
33. Vatne H. E., Nes E., Daaland O. On the formation of cube texture in aluminium. Materials Science Forum. 1994. Vol. 157. pp. 1087–1094.
34. Aryshensky E., Hirsch J., Bazhin V., Kawalla R. et al. Impact of Zener-Hollomon parameter on substructure and texture evolution during thermomechanical treatment of iron-containing wrought aluminium alloys. Transactions of Nonferrous Metals Society of China. 2019. Vol. 29, Iss. 5. pp. 893–906.
35. Aryshensky E. V., Beglov E. D., Aryshensky V. Yu., Konovalov S. V. The des_domen_rx program for modeling the formation of texture and size of recrystallized grains during hot rolling of aluminum alloys. Certificate of a computer program registration RF, No. 2023619644. Application No. 2023617268 dated 18.04.2023. Published: 12.05.2023.
36. Aryshensky V. Yu., Aryshensky E. V., Beglov E. D., Kaurov A. Yu., Osintsev K. A. The rx_tx_fro program for calculating the temperature mode and preferred crystallographic orientations as the orientation distribution function during hot, multi-pass rolling of aluminum alloys. Certificate of a computer program registration RF, No. 2020618308. Application No. 2020617186 dated 07.07.2020. Published: 23.07.2020.
37. Engler O. On the influence of dispersoids on the particle stimulated nucleation of recrystallization in an Al – Fe – Si model alloy. Materials Science Forum. 1998. Vol. 273. pp. 483–488.

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