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@PHDTHESIS{Alkhasli:834998,
author = {Alkhasli, Ilkin},
othercontributors = {Bobzin, Kirsten and Elgeti, Stefanie Nicole},
title = {{M}ultiscale modelling of plasma spraying},
volume = {70},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Düren},
publisher = {Shaker},
reportid = {RWTH-2021-10212},
isbn = {978-3-8440-8263-0},
series = {Schriftenreihe Oberflächentechnik},
pages = {vi, 159 Seiten : Illustrationen, Diagramme},
year = {2021},
note = {Dissertation, RWTH Aachen University, 2021},
abstract = {Atmospheric plasma spraying is a versatile technology that
can produce coatings with a wide range of characteristics.
Adapting the coating characteristics to the increasing
demands of modern industrial applications is an ongoing
research topic. Modelling and simulation increase the
understanding of the process dynamics and have the potential
to predict the coating properties. Correlating the coating
properties with the process parameters is an essential step
for a modelling approach to fulfil this potential. Due to
its complexity, it is practically impossible to describe the
whole process in a single model. However, based on the
nature and the scale of the governing physical phenomena,
the plasma spraying process can be divided into constituting
sub-processes, which can then be described by separate
models. Available models of isolated sub-processes in the
literature are not able to derive the coating properties
from the process parameters. This thesis is therefore
devoted to creating a predictive simulation chain by
combining the models of atmospheric plasma spraying
sub-processes with each other and thus connecting the
coating properties with the process parameters. The
simulation chain includes the established models of the
sub-processes, models developed in this work to describe
previously neglected phenomena and the coupling strategies
designed to link separate models together. The existing
validated model of the plasma generator was utilized, while
the discrete particle jet model was developed further to
include the temperature gradients within individual
particles. This model assumes perfectly homogenous and
spherical particles. To account for realistic particle
morphologies, a separate model that can resolve particles
with complex shape was developed. By incorporating this
model into the gradient particle jet model, the multiscale
particle jet model were developed. Since the temperature
gradients within the particles cannot be captured
experimentally, the model was validated indirectly by
correlating particle temperatures with experimentally
obtained coating thickness distributions. A particle impact
model was generated to simulate the coating formation by
multiple particle impacts. This model can track the cooling
rates of the individual particles as well. A multi-scale
coupling strategy enabled linking the multiscale particle
jet with the coating formation model. Finally, a model for
the determination of the effective thermal conductivity of
the simulated coatings was implemented as the final link in
the simulation chain. In addition to increasing the
understanding of distinct aspects of the process, the
simulation chain has laid the foundation of a predictive
tool that can be deployed for designing new coating
systems.},
cin = {419010},
ddc = {620},
cid = {$I:(DE-82)419010_20140620$},
pnm = {SFB 1120 A10 - Entwicklung simulativer Ansätze zur
gezielten Auslegung der Eigenschaften plasmagespritzter
Beschichtungen (A10) (260045856) / DFG project 236616214 -
SFB 1120: Bauteilpräzision durch Beherrschung von Schmelze
und Erstarrung in Produktionsprozessen (236616214)},
pid = {G:(GEPRIS)260045856 / G:(GEPRIS)236616214},
typ = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
doi = {10.2370/9783844082630},
url = {https://publications.rwth-aachen.de/record/834998},
}
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