Variational material modeling of the transformation induced plasticity in polycrystalline steel

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  • Rheinisch-Westfälische Technische Hochschule Aachen (RWTH)
  • Ruhr-Universität Bochum
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OriginalspracheEnglisch
Seiten (von - bis)87-96
Seitenumfang10
FachzeitschriftTechnische Mechanik: wissenschaftliche Zeitschrift für Grundlagen und Anwendungen der technischen Mechanik
Jahrgang40
Ausgabenummer1
PublikationsstatusVeröffentlicht - 6 März 2020
Extern publiziertJa

Abstract

Technische Mechanik; 40; 1; 87-96; ISSN 2199-9244

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Variational material modeling of the transformation induced plasticity in polycrystalline steel. / Waimann, Johanna; Reese, Stefanie; Junker, Philipp.
in: Technische Mechanik: wissenschaftliche Zeitschrift für Grundlagen und Anwendungen der technischen Mechanik, Jahrgang 40, Nr. 1, 06.03.2020, S. 87-96.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Waimann, J, Reese, S & Junker, P 2020, 'Variational material modeling of the transformation induced plasticity in polycrystalline steel', Technische Mechanik: wissenschaftliche Zeitschrift für Grundlagen und Anwendungen der technischen Mechanik, Jg. 40, Nr. 1, S. 87-96. https://doi.org/10.24352/UB.OVGU-2020-017
Waimann, J., Reese, S., & Junker, P. (2020). Variational material modeling of the transformation induced plasticity in polycrystalline steel. Technische Mechanik: wissenschaftliche Zeitschrift für Grundlagen und Anwendungen der technischen Mechanik, 40(1), 87-96. https://doi.org/10.24352/UB.OVGU-2020-017
Waimann J, Reese S, Junker P. Variational material modeling of the transformation induced plasticity in polycrystalline steel. Technische Mechanik: wissenschaftliche Zeitschrift für Grundlagen und Anwendungen der technischen Mechanik. 2020 Mär 6;40(1):87-96. doi: 10.24352/UB.OVGU-2020-017
Waimann, Johanna ; Reese, Stefanie ; Junker, Philipp. / Variational material modeling of the transformation induced plasticity in polycrystalline steel. in: Technische Mechanik: wissenschaftliche Zeitschrift für Grundlagen und Anwendungen der technischen Mechanik. 2020 ; Jahrgang 40, Nr. 1. S. 87-96.
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title = "Variational material modeling of the transformation induced plasticity in polycrystalline steel",
abstract = "The effect of transformation induced plasticity (TRIP) describes the coupling of plastic deformations and solid/solid phase transformations in steel. A result of this complex microstructural evolution is an improved ductility and strength of the so-called TRIP-steels, which is the reason for their attractiveness for industrial applications, e.g., in the automobile industry. Modeling of the mentioned effects is an important aspect for enhancing the knowledge about the challenging processes that evolve in TRIP-steels. To this end, we present a variational material model that is based on the principle of the minimum of the dissipation potential. Considering kinematic hardening, the model describes the simultaneous evolution of an overall plastic strain and of the volume fractions of austenite and of several martensitic variants. Compared to our previous work Waimann et al. (2015), the polycrystalline structure is considered by an evolving orientation distribution function, which results in a much faster computation compared to our former investigations. Our analysis also covers the implementation into a finite element algorithm as well as the presentation of numerical results, which show the model{\textquoteright}s ability to give a first estimation for the complex material behavior.",
keywords = "Kinematic hardening, Phase transformation, Plasticity, Polycrystal, TRIP-steel, Variational modeling",
author = "Johanna Waimann and Stefanie Reese and Philipp Junker",
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AU - Waimann, Johanna

AU - Reese, Stefanie

AU - Junker, Philipp

N1 - Funding information: We gratefully acknowledge the financial support of the Subproject M05 of the Transregional Collaborative Research Center SFB/TRR 136 by the German Science Foundation (DFG).

PY - 2020/3/6

Y1 - 2020/3/6

N2 - The effect of transformation induced plasticity (TRIP) describes the coupling of plastic deformations and solid/solid phase transformations in steel. A result of this complex microstructural evolution is an improved ductility and strength of the so-called TRIP-steels, which is the reason for their attractiveness for industrial applications, e.g., in the automobile industry. Modeling of the mentioned effects is an important aspect for enhancing the knowledge about the challenging processes that evolve in TRIP-steels. To this end, we present a variational material model that is based on the principle of the minimum of the dissipation potential. Considering kinematic hardening, the model describes the simultaneous evolution of an overall plastic strain and of the volume fractions of austenite and of several martensitic variants. Compared to our previous work Waimann et al. (2015), the polycrystalline structure is considered by an evolving orientation distribution function, which results in a much faster computation compared to our former investigations. Our analysis also covers the implementation into a finite element algorithm as well as the presentation of numerical results, which show the model’s ability to give a first estimation for the complex material behavior.

AB - The effect of transformation induced plasticity (TRIP) describes the coupling of plastic deformations and solid/solid phase transformations in steel. A result of this complex microstructural evolution is an improved ductility and strength of the so-called TRIP-steels, which is the reason for their attractiveness for industrial applications, e.g., in the automobile industry. Modeling of the mentioned effects is an important aspect for enhancing the knowledge about the challenging processes that evolve in TRIP-steels. To this end, we present a variational material model that is based on the principle of the minimum of the dissipation potential. Considering kinematic hardening, the model describes the simultaneous evolution of an overall plastic strain and of the volume fractions of austenite and of several martensitic variants. Compared to our previous work Waimann et al. (2015), the polycrystalline structure is considered by an evolving orientation distribution function, which results in a much faster computation compared to our former investigations. Our analysis also covers the implementation into a finite element algorithm as well as the presentation of numerical results, which show the model’s ability to give a first estimation for the complex material behavior.

KW - Kinematic hardening

KW - Phase transformation

KW - Plasticity

KW - Polycrystal

KW - TRIP-steel

KW - Variational modeling

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