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Data-Driven Identification of Nonlinear Flame Models

Ghani, Abdulla and Boxx, Isaac and Noren, Carrie (2020) Data-Driven Identification of Nonlinear Flame Models. In: Proceedings of the ASME Turbo Expo. ASME Turbo Expo 2020: Power for Land, Sea and Air, 2020-09-21 - 2020-09-25, London, UK (virtual). doi: 10.1115/GT2020-15001.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/136364/
Document Type:Conference or Workshop Item (Speech)
Additional Information:GT2020-15001
Title:Data-Driven Identification of Nonlinear Flame Models
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Ghani, AbdullaThermo-Fluid Dynamics Group, Department of Mechanical Engineering. Technical University of Munich, GermanyUNSPECIFIEDUNSPECIFIED
Boxx, IsaacUNSPECIFIEDhttps://orcid.org/0000-0003-1916-6206UNSPECIFIED
Noren, CarrieUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2020
Journal or Publication Title:Proceedings of the ASME Turbo Expo
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.1115/GT2020-15001
Status:Published
Keywords:CFD, flame models, kHz imaging
Event Title:ASME Turbo Expo 2020: Power for Land, Sea and Air
Event Location:London, UK (virtual)
Event Type:international Conference
Event Start Date:21 September 2020
Event End Date:25 September 2020
Organizer:ASME
HGF - Research field:Energy
HGF - Program:Energy Efficiency, Materials and Resources
HGF - Program Themes:Efficient Use of Fuel Resources
DLR - Research area:Energy
DLR - Program:E VS - Combustion Systems
DLR - Research theme (Project):E - Fuels (old)
Location: Stuttgart
Institutes and Institutions:Institute of Combustion Technology > Combustion Diagnostícs
Deposited By: Geigle, Dr. Klaus Peter
Deposited On:02 Oct 2020 09:10
Last Modified:24 Apr 2024 20:38

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