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Micromechanical predictions of TRIP steel behavior as a function of microstructural parameters

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Micromechanical predictions of TRIP steel behavior as a function of microstructural parameters. / Tjahjanto, D. D.; Suiker, A. S J; Turteltaub, S. et al.
In: Computational Materials Science, Vol. 41, No. 1, 11.2007, p. 107-116.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Tjahjanto, DD, Suiker, ASJ, Turteltaub, S, Rivera Diaz del Castillo, PEJ & van der Zwaag, S 2007, 'Micromechanical predictions of TRIP steel behavior as a function of microstructural parameters', Computational Materials Science, vol. 41, no. 1, pp. 107-116. https://doi.org/10.1016/j.commatsci.2007.03.005

APA

Tjahjanto, D. D., Suiker, A. S. J., Turteltaub, S., Rivera Diaz del Castillo, P. E. J., & van der Zwaag, S. (2007). Micromechanical predictions of TRIP steel behavior as a function of microstructural parameters. Computational Materials Science, 41(1), 107-116. https://doi.org/10.1016/j.commatsci.2007.03.005

Vancouver

Tjahjanto DD, Suiker ASJ, Turteltaub S, Rivera Diaz del Castillo PEJ, van der Zwaag S. Micromechanical predictions of TRIP steel behavior as a function of microstructural parameters. Computational Materials Science. 2007 Nov;41(1):107-116. doi: 10.1016/j.commatsci.2007.03.005

Author

Tjahjanto, D. D. ; Suiker, A. S J ; Turteltaub, S. et al. / Micromechanical predictions of TRIP steel behavior as a function of microstructural parameters. In: Computational Materials Science. 2007 ; Vol. 41, No. 1. pp. 107-116.

Bibtex

@article{2ccacb699c8542a1b2c7d41ca369dc6c,
title = "Micromechanical predictions of TRIP steel behavior as a function of microstructural parameters",
abstract = "Micromechanically-based models are used to mimic the martensitic phase transformations in retained austenite and the elasto-plastic behavior of the adjacent ferritic phase. The numerical simulations concern TRIP steel samples with a finite number of grains of retained austenite embedded in a polycrystalline ferrite-based matrix. Parametric analyses are performed in order to investigate the effect of the variation of microstructural properties on the stability of retained austenite, and thus on the overall mechanical response. The microstructural parameters considered are (i) the initial volume fraction of the retained austenite, (ii) the elasto-plastic properties of the surrounding ferritic matrix, (iii) the crystallographic orientations of the ferritic and austenitic grains, and (iv) the carbon concentration in the retained austenite. The results show that the effective strength of TRIP steels increases with the carbon concentration in the retained austenite, but it depends non-monotonically on the initial volume fraction of retained austenite. It is shown that the overall strength and the martensitic transformation rate depend strongly on the crystallographic orientations of the grains and the properties of the surrounding matrix. This information is useful for the optimization of the mechanical characteristics of TRIP steels and the improvement of their processing parameters. The numerical predictions are in good qualitative agreement with experimental observations.",
keywords = "Micromechanical modeling, Microstructural parameters, Retained austenite stability, TRIP steels",
author = "Tjahjanto, {D. D.} and Suiker, {A. S J} and S. Turteltaub and {Rivera Diaz del Castillo}, {P. E J} and {van der Zwaag}, S.",
year = "2007",
month = nov,
doi = "10.1016/j.commatsci.2007.03.005",
language = "English",
volume = "41",
pages = "107--116",
journal = "Computational Materials Science",
issn = "0927-0256",
publisher = "Elsevier",
number = "1",

}

RIS

TY - JOUR

T1 - Micromechanical predictions of TRIP steel behavior as a function of microstructural parameters

AU - Tjahjanto, D. D.

AU - Suiker, A. S J

AU - Turteltaub, S.

AU - Rivera Diaz del Castillo, P. E J

AU - van der Zwaag, S.

PY - 2007/11

Y1 - 2007/11

N2 - Micromechanically-based models are used to mimic the martensitic phase transformations in retained austenite and the elasto-plastic behavior of the adjacent ferritic phase. The numerical simulations concern TRIP steel samples with a finite number of grains of retained austenite embedded in a polycrystalline ferrite-based matrix. Parametric analyses are performed in order to investigate the effect of the variation of microstructural properties on the stability of retained austenite, and thus on the overall mechanical response. The microstructural parameters considered are (i) the initial volume fraction of the retained austenite, (ii) the elasto-plastic properties of the surrounding ferritic matrix, (iii) the crystallographic orientations of the ferritic and austenitic grains, and (iv) the carbon concentration in the retained austenite. The results show that the effective strength of TRIP steels increases with the carbon concentration in the retained austenite, but it depends non-monotonically on the initial volume fraction of retained austenite. It is shown that the overall strength and the martensitic transformation rate depend strongly on the crystallographic orientations of the grains and the properties of the surrounding matrix. This information is useful for the optimization of the mechanical characteristics of TRIP steels and the improvement of their processing parameters. The numerical predictions are in good qualitative agreement with experimental observations.

AB - Micromechanically-based models are used to mimic the martensitic phase transformations in retained austenite and the elasto-plastic behavior of the adjacent ferritic phase. The numerical simulations concern TRIP steel samples with a finite number of grains of retained austenite embedded in a polycrystalline ferrite-based matrix. Parametric analyses are performed in order to investigate the effect of the variation of microstructural properties on the stability of retained austenite, and thus on the overall mechanical response. The microstructural parameters considered are (i) the initial volume fraction of the retained austenite, (ii) the elasto-plastic properties of the surrounding ferritic matrix, (iii) the crystallographic orientations of the ferritic and austenitic grains, and (iv) the carbon concentration in the retained austenite. The results show that the effective strength of TRIP steels increases with the carbon concentration in the retained austenite, but it depends non-monotonically on the initial volume fraction of retained austenite. It is shown that the overall strength and the martensitic transformation rate depend strongly on the crystallographic orientations of the grains and the properties of the surrounding matrix. This information is useful for the optimization of the mechanical characteristics of TRIP steels and the improvement of their processing parameters. The numerical predictions are in good qualitative agreement with experimental observations.

KW - Micromechanical modeling

KW - Microstructural parameters

KW - Retained austenite stability

KW - TRIP steels

U2 - 10.1016/j.commatsci.2007.03.005

DO - 10.1016/j.commatsci.2007.03.005

M3 - Journal article

AN - SCOPUS:35348821315

VL - 41

SP - 107

EP - 116

JO - Computational Materials Science

JF - Computational Materials Science

SN - 0927-0256

IS - 1

ER -