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Thesis . 2022
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From imaging to numerical characterization: a simulation workflow for additively manufactured products

Authors: Korshunova, Nina;

From imaging to numerical characterization: a simulation workflow for additively manufactured products

Abstract

Despite its potential, AM still faces challenges that have to be addressed before it can be widely used in production lines. One of these aspects is the occurrence of process-induced defects. As process parameters are difficult to precisely control due to the underlying physics, the microstructure can exhibit significant deviations of as-manufactured shapes from as-designed ones. These discrepancies can seriously alter the final part quality and performance. This thesis aims at establishing a numerical framework suitable for the analysis of as-manufactured AM products. The present work’s objective is to investigate the possible way to evaluate the effects of process-induced defects on the final part performance and perform uncertainty quantification of microstructural variability. Trotz des großen Potenzials müssen vor einem breiten produktiven Einsatz von AM noch zahlreiche Fragen gelöst werden. Einer dieser Aspekte ist das Entstehen von prozessinduzierten Defekten. Da die Prozessparameter aufgrund der zugrundeliegenden Physik nur schwer präzise zu kontrollieren sind, kann die Mikrostruktur signifikante Abweichungen der gefertigten geometrischen Form im Vergleich zum Entwurf aufweisen. Diese Unterschiede können die Qualität und Leistung des Endprodukts erheblich beeinträchtigen. Diese Arbeit zielt darauf ab, ein numerisches Framework vorzuschlagen, das für die Analyse von as-manufactured AM-Produkten geeignet ist. Es wird die Möglichkeit untersucht, die Auswirkungen von prozessinduzierten Defekten auf das endgültige Bauteilverhalten zu bewerten und eine Unsicherheitsquantifizierung der mikrostrukturellen Variabilität durchzuführen.

Keywords

Ingenieurwissenschaften, additive manufacturing, metal lattice structures, process-induced defects, computed tomography, numerical analysis, Finite Cell method, uncertainty quantification, statistical model, Additive Fertigung, Metallgitterstrukturen, prozessinduzierte Defekte, Computertomographie, numerische Analyse, Finite Cell Methode, Quantifizierung der Unsicherheit, statistisches Modell, Architektur, ddc: ddc:720, ddc: ddc:620

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green