2016
DOI: 10.1016/j.ijsolstr.2015.12.009
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Finite element simulations of microstructure evolution in stress-induced martensitic transformations

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Cited by 7 publications
(6 citation statements)
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“…of the transformation stress and stress hysteresis on the crystal orientation is in qualitative agreement with both experimental ( Gall et al, 2001; and numerical ( Ozsoy and Babacan, 2016 ) results.…”
Section: Article In Presssupporting
confidence: 84%
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“…of the transformation stress and stress hysteresis on the crystal orientation is in qualitative agreement with both experimental ( Gall et al, 2001; and numerical ( Ozsoy and Babacan, 2016 ) results.…”
Section: Article In Presssupporting
confidence: 84%
“…(12) and (13) JID: SAS [m5G;March 27, 2018;10:23 ] threshold characterizes the resistance against a moving interface caused by the interactions between the interface and the longrange stress field of various defects (e.g., vacancies, dislocations, subgrain boundaries), by the Peierls barrier, acoustic emission, etc. Almost every micromechanical theory of the phase transformation incorporates such a term ( Lim and McDowell, 2002;Levitas and Ozsoy, 2009a;Boyd and Lagoudas, 1996a;Levitas et al, 1999;Gillet et al, 1998;Ozsoy and Babacan, 2016;Patoor and Berveiller, 1997 ). In contrast, the traditional phase field theories ( Artemev et al,20 01; 20 0 0; Wang and Khachaturyan, 1997;Zhu et al, 2017;Cho et al, 2012;Idesman et al, 2008;Steinbach and Apel, 2006;Mosler et al, 2014;Schneider et al, 2015 ) neglect it, except ( Levitas and Lee, 2007;.…”
Section: Box 1 (Problem Formulation) Kinematicsmentioning
confidence: 99%
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“…A phase-field model to simulate the transformation of lower bainite, including carbon diffusion and carbide formation was developed by Düsing and Mahnken (2016), and PF model was also used by Schmidt et al (2017) for martensitic transformation coupled with the heat equation. Ozsoy and Babacan (2016) used FEM for simulations of microstructure evolution in stress-induced martensitic transformations, and simulation of phase transformations during cooling of 55SiMnMo steel were realized based on FEM by Yan et al (2017). An interesting approach for modeling of phase transformations is also the use of neural networks.…”
Section: Introductionmentioning
confidence: 99%