2011
DOI: 10.4028/www.scientific.net/ssp.172-174.1066
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3D Phase Field Modeling of Martensitic Microstructure Evolution in Steels

Abstract: Complex martensitic microstructure evolution in steels generates enormous curiosity among the materials scientists and especially among the Phase Field (PF) modeling enthusiasts. In the present work PF Microelasticity theory proposed by A.G. Khachaturyan coupled with plasticity is applied for modeling the Martensitic Transformation (MT) by using Finite Element Method (FEM). PF simulations in 3D are performed by considering different cases of MT occurring in a clamped system, i.e. simulation domain with fixed b… Show more

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Cited by 6 publications
(17 citation statements)
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“…A brief overview of the phase-field model used here to simulate the athermal martensitic transformation as well as the reversion is presented below, detailed derivations can be found in Refs. [34,43].…”
Section: Phase-field Modelmentioning
confidence: 99%
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“…A brief overview of the phase-field model used here to simulate the athermal martensitic transformation as well as the reversion is presented below, detailed derivations can be found in Refs. [34,43].…”
Section: Phase-field Modelmentioning
confidence: 99%
“…where V m is the molar volume and the coefficients A, B, C are expressed in terms of Gibbs energy barrier and the driving force [34]. From a crystallographical point of view, martensite can be formed in 24 different crystallographic variants, which can be grouped into three main groups known as Bain groups [49][50][51].…”
Section: Phase-field Modelmentioning
confidence: 99%
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“…Changes in lattice parameters and elastic stiffness coefficients can directly estimate solid-solution 20 strengthening parameters [23,24,3,19] and changes in ductility [25]. Mesoscale phase-field [26] and crystal plasticity models [27] of multi-phase steels are sensitive to the input lattice parameters and elastic stiffness coefficients of the different phases, and DFT data on the solute-dependence of these properties can enhance the predictive capabilities of these models [28]. 25 In the present article, we consider the effects of the substitutional solutes Al, B, Cu, Mn, and Si, and the interstitial solutes C, and N on the lattice pa-rameter and elastic stiffness coefficients of bcc Fe.…”
Section: Introductionmentioning
confidence: 99%