Advances in Level-Set Modeling of Recrystallization at the Polycrystal Scale - Development of the Digi-μ Software

Abstract:

The mechanical and thermal properties of metallic materials are strongly related to theirmicrostructure. An accurate and quantitative prediction of microstructural evolutions is then crucialwhen it comes to optimize the forming process. Recently a new full field approach, based on a Level-Set (LS) description of interfaces in a finite element (FE) context has been introduced to model 2D and3D primary recrystallization (ReX), including the nucleation stage [1, 2], and has been extended to takeinto account the grain growth (GG) stage [3, 4]. The ability of this approach to model also the Zenerpinning (ZP) phenomenon without any assumption concerning the shape of second phase particleswas also demonstrated [5]. Moreover, recent developments have also illustrated the capability of thisapproach to take into account the characteristics of twin interfaces during grain boundary motion [6,7]. Current work concerns also the improvement of the numerical cost of this new approach [8]. Allthese developments are necessary to account for the microstructural complexity of ReX phenomenon.

• Periodical: Key Engineering Materials (Volumes 651-653)
• Pages: 617-623
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.651-653.617
• Online since: July 2015
• Authors: Benjamin Scholtes*, Modesar Shakoor, Nathalie Bozzolo, Pierre-Olivier Bouchard, Amico Settefrati, Marc Bernacki
• Keywords: Full Field Modeling, Grain Growth, Level-Set, Recrystallization

References

[1] M. Bernacki, Y. Chastel, T. Coupez, and R. Logé. Scripta Materialia 58 (2008), pp.1129-1132.

DOI: 10.1016/j.scriptamat.2008.02.016

[2] M. Bernacki, H. Resk, T. Coupez, and R. Logé. Modelling and Simulation in Materials Science and Engineering 17 (2009), p.064006.

DOI: 10.1088/0965-0393/17/6/064006

[3] M. Bernacki, R. Logé, and T. Coupez. Scripta Materialia 64 (2011), pp.525-528.

DOI: 10.1016/j.scriptamat.2010.11.032

[4] A.L. Cruz-Fabiano, R. Logé, and M. Bernacki. Computational Materials Science 92 (2014), pp.305-312.

[5] A. Agnoli, N. Bozzolo, R. Logé, J.M. Franchet, J. Laigo, and M. Bernacki. Computational Materials Science 89 (2014), pp.233-241.

DOI: 10.1016/j.commatsci.2014.03.054

[6] Y. Jin, M. Bernacki, G.S. Rohrer, A.D. Rollett, B. Lin, and Nathalie Bozzolo. Materials Science Forum 753 (2013), pp.113-116.

DOI: 10.4028/www.scientific.net/msf.753.113

[7] Y. Jin, B. Lin, M. Bernacki, G.S. Rohrer, a.D. Rollett, and N. Bozzolo. Materials Science and Engineering: A 597 (2014), pp.295-303.

DOI: 10.1016/j.msea.2014.01.018

[8] M. Shakoor, B. Scholtes, P. -O. Bouchard, and M. Bernacki. Applied Mathematical Modelling (2015), Submitted.

[9] M.A. Miodownik. Journal of Light Metals 2 (2002), pp.125-135.

[10] A. D Rollett and D. Raabe. Computational Materials Science 21 (2001), pp.69-78.

[11] E.A. Holm, G.N. Hassold, and M.A. Miodownik. Acta Materialia 49 (2001), pp.2981-2991.

[12] D. Raabe. en. Philosophical Magazine A 79 (1999), pp.2339-2358.

[13] L.A. Barrales Mora, G. Gottstein, and L.S. Shvindlerman. Acta Materialia 56 (2008), pp.5915-5926.

DOI: 10.1016/j.actamat.2008.08.006

[14] L.Q. Chen. Annual Review of Materials Research 32 (2002), pp.113-140.

[15] M. Elsey, S. Esedoglu, and P. Smereka. Journal of Computational Physics 228 (2009), pp.8015-8033.

[16] M. Elsey, S. Esedoglu, and P. Smereka. Acta Materialia 61 (2013), p.2033-(2043).

[17] R. Logé, M. Bernacki, H. Resk, L. Delannay, H. Digonnet, Y. Chastel, and T. Coupez. Philosophical Magazine 88 (2008), pp.3691-3712.

DOI: 10.1080/14786430802502575

[18] H. Hallberg and M. Ristinmaa. Computational Materials Science 67 (2013), pp.373-383.

[19] D.L. Quan, T. Toulorge, E. Marchandise, J.F. Remacle, and G. Bricteux. Computer Methods in Applied Mechanics and Engineering 268 (2014), pp.65-81.

DOI: 10.1016/j.cma.2013.09.007

[20] A.L. Fabiano. PhD thesis. Mines-ParisTech, (2013).