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  5. Soot Prediction in a Model Aero-Engine Combustor using a Quadrature-based Method of Moments
 
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2022
Konferenzveröffentlichung
Postprint

Soot Prediction in a Model Aero-Engine Combustor using a Quadrature-based Method of Moments

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Hauptpublikation
cokuslu_2021_ESTiMatE.pdf
CC BY-NC-ND 4.0 International
Format: Adobe PDF
Size: 10.83 MB
TUDa URI
tuda/9697
URN
urn:nbn:de:tuda-tuprints-225719
DOI
10.26083/tuprints-00022571
Autor:innen
Çokuslu, Ömer H.
Hasse, Christian
Geigle, Klaus-Peter
Ferraro, Federica
Kurzbeschreibung (Abstract)

Numerical simulations of aero-engine combustors are extremely challenging due to the complex multiscale and multiphysics phenomena involved. Currently, reliable modeling and prediction of soot particle formation produced during incomplete hydrocarbon combustion is one of the major issues in combustion research. The next generation of gas turbines for more sustainable aircraft engines must meet strict limitations for soot particle mass and size distribution. Therefore, a comprehensive understanding of the processes leading to soot particle formation and its precise prediction in practical combustion systems is crucial. In this work, a recently developed detailed soot model, the Split-based Extended Quadrature Method of Moments (S-EQMOM), is applied to simulate a model aero-engine combustor, experimentally investigated by the German Aerospace Center (DLR). In previous studies, the S-EQMOM demonstrated good prediction capability in predicting soot particle oxidation, important to account for the reduction of soot particles. Here, the model is evaluated at elevated pressure conditions. Large eddy simulations are performed using flamelet-based tabulated chemistry with artificially thickened flame (ATF) approach coupled with the S-EQMOM. The simulation results are analyzed for both the gas phase and soot solid phase and compared with the experimental data. Velocity and temperature fields are well predicted. Soot formation is underestimated by the simulation, but qualitatively in good agreement with the experimental data.

Freie Schlagworte

Soot formation

Split-based Extended ...

Large Eddy Simulation...

model aero-engine com...

Sprache
Englisch
Fachbereich/-gebiet
16 Fachbereich Maschinenbau > Fachgebiet Simulation reaktiver Thermo-Fluid Systeme (STFS)
DDC
600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Institution
Universitäts- und Landesbibliothek Darmstadt
Ort
Darmstadt
Veranstaltungstitel
Enabling Sustainability Through Aerospace Technology
Veranstaltungsort
San Diego, USA and virtual
Startdatum der Veranstaltung
03.01.2022
Enddatum der Veranstaltung
07.01.2022
Buchtitel
AIAA SCITECH 2022 Forum
ISBN
978-1-62410-631-6
Verlag
American Institute of Aeronautics and Astronautics, Inc.
Publikationsjahr der Erstveröffentlichung
2022
Verlags-DOI
10.2514/6.2022-1446
PPN
502426357
Zusätzliche Infomationen
Correction: https://doi.org/10.2514/6.2022-1446.c1

View Video Presentation: https://doi.org/10.2514/6.2022-1446.vid

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