Coupling of a Crystal Plasticity Finite Element Model with a Probabilistic Cellular Automaton for Simulating Primary Static Recrystallization in Aluminum

  1. Prof. Yves Bréchet
  1. Dierk Raabe1 and
  2. Richard C. Becker2

Published Online: 19 DEC 2005

DOI: 10.1002/3527606157.ch1

Microstructures, Mechanical Properties and Processes - Computer Simulation and Modelling, Volume 3

Microstructures, Mechanical Properties and Processes - Computer Simulation and Modelling, Volume 3

How to Cite

Raabe, D. and Becker, R. C. (2000) Coupling of a Crystal Plasticity Finite Element Model with a Probabilistic Cellular Automaton for Simulating Primary Static Recrystallization in Aluminum, in Microstructures, Mechanical Properties and Processes - Computer Simulation and Modelling, Volume 3 (ed Y. Bréchet), Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, FRG. doi: 10.1002/3527606157.ch1

Editor Information

  1. Institut Nat. Polytechnique de Grenoble, L.T.P.-C.M. ENSEEG, BP75, Domaine Universitaires, 38402 Saint Martin D'Hères Cedex, France; Tel.: 0033–76–82 6610; Fax: 0033–76–82 6644

Author Information

  1. 1

    Max-Planck-Institut für Eisenforschung, Düsseldorf, Germany

  2. 2

    Lawrence Livermore National Laboratory, Livermore, CA, USA

Publication History

  1. Published Online: 19 DEC 2005
  2. Published Print: 20 APR 2000

Book Series:

  1. EUROMAT 99

ISBN Information

Print ISBN: 9783527301225

Online ISBN: 9783527606153

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Keywords:

  • microstructures;
  • computer simulation;
  • crystal plasticity finite element model;
  • probabilistic cellular automaton;
  • simulating primary static recrystallization in aluminium

Summary

The average behavior of materials during forming and annealing is often well described without considering local effects. In some cases, however, material heterogeneity must be taken into account. This paper incorporates microstructure with spatial resolution for the discrete prediction of recrystallization in aluminum. We use the data of a crystal plasticity finite element simulation as initial state for a recrystallization simulation carried out with a probabilistic cellular automaton. The coupling between the two methods consists in: extracting and translating the state variables of the finite element plasticity model into state variables of the cellular automaton (texture and dislocation density); mapping these data on the automaton grid; scaling the cellular automaton mesh in terms of the derived cell size, maximum driving force and grain boundary mobility; and in establishing a nucleation criterion based on the state variables.