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@PHDTHESIS{Brggemann:659921,
author = {Brüggemann, Thiemo},
othercontributors = {Gottstein, Günter and Hirt, Gerhard Kurt Peter},
title = {{A}utomatisierte {P}rozesskettensimulation mit integrierter
{M}ikrostrukturentwicklung : am {B}eispiel der
thermomechanischen {B}ehandlung von {A}luminiumwerkstoffen},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Aachen},
publisher = {Shaker Verlag},
reportid = {RWTH-2016-05044},
isbn = {978-3-8440-4529-1},
series = {Berichte aus der Werkstofftechnik},
pages = {1 Online-Ressource (vii, 214 Seiten) : Illustrationen.
Diagramme},
year = {2016},
note = {Auch veröffentlicht auf dem Publikationsserver der RWTH
Aachen University; Dissertation, RWTH Aachen University,
2016},
abstract = {During the conventional production of aluminum sheets from
casted ingots, the workpiece passes through a sequence of
rolling and annealing steps. This thermomechanical treatment
is required in order to allow the desired thickness
reduction without damage. In addition, it is utilized to
achieve favored final properties of the semi-finished
product. In the course of production, the process influences
the microstructure, i.e. via deformation and heat input the
texture, grain size and other microstructural
characteristics develop. Thus, the resulting properties of
the workpiece are altered throughout the process. If this
aforementioned production route is mapped computationally
via integrated process- and microstructure-simulation tools,
there is a high potential for optimizing microstructural and
final properties and the process itself. Furthermore, the
utilization of such a simulation setup gives the possibility
to gain understanding of complex interactions within the
system, which might not be able to be tracked
experimentally. As it turned out, no process simulation
package with a fully integrated microstructure development
existed so far, which covers the considered industrial
production chain. The aim of this work was to implement a
setup, which overcomes these shortcomings.The requirements
for such a model package are the following: • A full
integration of process models and microstructure models,
i.e. to calculate the evolution of appropriate process and
(microstructural-) state variables in the course of the
production chain, • a transferability to an industrial
scale, • a reasonable balance between computational effort
and accuracy, • a high usability, and • a possibility to
validate individual models and the entire model package.To
meet these requirements, the following steps were taken:
Within the simulation of a single rolling pass the
microstructure models 3IVM+, GIA and Core, which were
developed at the Institute of Physical Metallurgy and Metal
Physics (IMM), were interlinked via the transfer of chosen
state variables. Furthermore, these models were coupled with
two process models, namely ROSERoll and ROSEAnneal, which
were provided by Hydro Aluminium Rolled Products, $R\&D$
Bonn. Via the latter models a transferability to an
industrial production (i.e. temperature development,
interpass times, geometrical conditions) is given by the use
of real processing data from productions lines. In order to
realize a continuous evolution of microstructure variables
over sequential thermomechanical treatments, two new modules
had to be integrated. Firstly, the Passlinker module, and
secondly a database for tracking the deformation history of
individual grains throughout the process. Within the model
package, the microstructure discretization was implemented
in such a way, that it is freely scalable. The behavior of
the simulation setup at different degrees of discretization
was statistically analyzed. In addition, it was validated
with experimental observations. The whole model package has
been fully automated in the internet-based platform SimWeb
from IMM. Here, also input templates and result templates
were added. Furthermore, for microstructure characterization
and sample preparation, efficient experimental methods have
been created to support the simulation. These activities
resulted in the following benefits for through-process
simulations: The full integration of models and modules into
the aforementioned package improves the predictive
capability of the microstructure evolution under the
influence of the process during complete production chains.
The model setup is now capable to reproduce the – in a
metal-physical context – demanding evolution of partially
recrystallized intermediate microstructural conditions
during further processing in a qualitative manner. In
addition, a validation of such conditions is now possible
with the newly established experimental analysis and sample
preparation methods. Moreover, these techniques reduce
experimental effort, and go hand in hand with an increased
accuracy. Based on the findings from statistical simulation
analysis on the numerical behavior of the modelling setup,
the user can derive a suitable level of microstructure
discretization for a given task. Noteworthy, the efficiency
and usability of the through-process simulation framework is
significantly improved via automation, being important for
large parametric studies or further statistical analyses.
Moreover, this automated implementation of the model package
within the SimWeb platform also promotes the sustainability
of the process chain simulation. Thus, it provides a sound
basis for future additions and advancements.},
cin = {523110 / 520000},
ddc = {620},
cid = {$I:(DE-82)523110_20140620$ / $I:(DE-82)520000_20140620$},
typ = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
urn = {urn:nbn:de:hbz:82-rwth-2016-050443},
url = {https://publications.rwth-aachen.de/record/659921},
}
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