Authors: Günter Gottstein, Lasar S. Shvindlerman, Mischa Crumbach, L.A. Barrales-Mora
Abstract: Modeling and simulation of recrystallization, grain growth, and related phenomena are
important tools for the fundamental understanding of microstructural evolution and prediction of
engineering properties. In particular for ultra fine grained and nanocrystalline materials proper account
of microstructural evolution is essential for the optimal processing of these materials. It is
shown that for modeling of softening phenomena it is important to discriminate between discontinuous
primary recrystallization and discontinuous grain growth owing to their quite different underlying
physics. Recent developments in recrystallization modeling and simulation of grain growth
are addressed, in particular nucleation of recrystallization and junction effects in grain growth. Major
progress is also expected from atomistic modeling and quantum-mechanical computations for
making available specific material properties.
3
Authors: C. Schäfer, Mischa Crumbach, Günter Gottstein
Abstract: The predictions from a grain cluster deformation texture model, GIA, are utilized to study
the nucleation texture of recrystallisation of aluminium alloys. In combination with a dislocation
based work hardening model, the propensity of specific grains in their granular environment for
select nucleation mechanisms is investigated. Quantitative criteria for the nucleation events can be
formulated. The results can be fed into a growth model of recrystallisation to predict
recrystallisation textures and lend themselves to through-process modelling.
85
Authors: Tom Quested, Mischa Crumbach, Richard Hamerton
Abstract: This paper contains a review of microstructural through-process modelling (TPM) and
the particular role of ingot metallurgy from an industrial perspective, focusing on recent advances in
solidification theory, solidification and homogenisation software, and software environments that
allow models to interface. To illustrate how as-cast microstructure can impact on downstream
processing steps, a sensitivity analysis has been performed on an AA1xxx alloy using an in-house
homogenisation model. Thus, knowledge gaps in theory and model application are highlighted.
1783
Authors: Mischa Crumbach, Tom Quested, Richard Hamerton
Abstract: Through-Process modelling (TPM) of microstructure evolution during thermomechanical
processing of sheet produced from direct chill (DC) cast non-heat treatable aluminium
alloys is discussed. In a companion paper [1] the upstream processes of casting and homogenisation
were dealt with, whereas the present paper focuses on the downstream deformation and annealing
steps. Some recent advances in relevant model development are reviewed, and the important
microstructural descriptors and their interactions are outlined. Together with two application
examples – coiling of hot strip, and cold rolling of foil – current knowledge gaps in theory and
modelling capability are highlighted.
1511
Authors: Günter Gottstein, Mischa Crumbach, L. Neumann, R. Kopp
Abstract: We introduce a simulation procedure for through-process texture and anisotropy
prediction, in particular for AA5182 sheet production from hot rolling through cold rolling and
annealing. The FEM package ‘T-Pack’ based on the software LARSTRAN served as a process
model. It was combined with physics based microstructure models for deformation texture (GIA),
work hardening (3IVM), nucleation texture (ReNuc), and recrystallization texture (StaRT). The
terminal sheet texture was used for a FEM simulation of cup drawing. A new concept of
interactively updated texture based yield locus predictions was employed. The simulation
predictions were compared to experimental data. The procedure can be applied to a wide variety of
Aluminum alloys.
93
Authors: L. Neumann, R. Kopp, H. Aretz, Mischa Crumbach, Matthias Goerdeler, Günter Gottstein
1657
Authors: Mischa Crumbach, Matthias Goerdeler, Günter Gottstein
Abstract: Schemes to model deformation inhomogeneities and nuclei distributions based on the
grain cluster model for deformation texture simulation GIA are presented. The orientation distributions of nuclei in stable orientations, nuclei in grains with orientation gradients and nuclei due to subgrain growth at grain boundaries are predicted. Additionally, nuclei with a random orientation distribution are considered, reflecting nucleation at shear bands or large constituent particles. Furthermore,
models for a quantitative assessment of the participating nucleation mechanisms are proposed. The resulting nucleation texture was input to the static recrystallization texture model StaRT. The through-process texture development during a sequence of several hot rolling, cold rolling and annealing steps in industrial production of the aluminum alloy AA5182 is presented.
617
Authors: Matthias Goerdeler, Mischa Crumbach, Günter Gottstein
881
Authors: Mischa Crumbach, Matthias Goerdeler, Günter Gottstein
425
Authors: Mischa Crumbach, A. Bäumer, Günter Gottstein
557