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Soot prediction in a Model Aero-Engine Combustor using a Quadrature-based method of moments

Çokuslu, Ömer and Hasse, Christian and Geigle, Klaus Peter and Ferraro, Federica (2022) Soot prediction in a Model Aero-Engine Combustor using a Quadrature-based method of moments. In: AIAA SciTech 2022 Forum. 60th AIAA Aerospace Sciences Meeting, 03.-07.01.2022, San Diego, USA / virtual. doi: 10.2514/6.2022-1446. ISBN 978-162410631-6.

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Official URL: https://arc.aiaa.org/doi/10.2514/6.2022-1446


Item URL in elib:https://elib.dlr.de/148069/
Document Type:Conference or Workshop Item (Speech)
Additional Information:Paper AIAA2022-1446
Title:Soot prediction in a Model Aero-Engine Combustor using a Quadrature-based method of moments
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Çokuslu, ÖmerTU DarmstadtUNSPECIFIED
Hasse, ChristianTU DarmstadtUNSPECIFIED
Geigle, Klaus PeterUNSPECIFIEDUNSPECIFIED
Ferraro, FedericaTU DarmstadtUNSPECIFIED
Date:2022
Journal or Publication Title:AIAA SciTech 2022 Forum
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI :10.2514/6.2022-1446
ISBN:978-162410631-6
Status:Published
Keywords:soot formation, LES, EQMOOM, validation data, model combustor
Event Title:60th AIAA Aerospace Sciences Meeting
Event Location:San Diego, USA / virtual
Event Type:international Conference
Event Dates:03.-07.01.2022
Organizer:AIAA
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Clean Propulsion
DLR - Research area:Aeronautics
DLR - Program:L CP - Clean Propulsion
DLR - Research theme (Project):L - Components and Emissions
Location: Stuttgart
Institutes and Institutions:Institute of Combustion Technology > Combustion Diagnostícs
Deposited By: Geigle, Dr. Klaus Peter
Deposited On:10 Jan 2022 10:16
Last Modified:26 Jan 2022 14:02

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