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Efficient Algorithmic Differentiation Techniques for Turbomachinery Design

Sagebaum, Max and Özkaya, Emre and Gauger, Nicolas R. and Backhaus, Jan and Frey, Christian and Mann, Sebastian and Nagel, Marc (2018) Efficient Algorithmic Differentiation Techniques for Turbomachinery Design. 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 05.-09. Jun. 2018, Denver, USA.

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Item URL in elib:https://elib.dlr.de/119484/
Document Type:Conference or Workshop Item (Speech)
Title:Efficient Algorithmic Differentiation Techniques for Turbomachinery Design
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Sagebaum, MaxUNSPECIFIEDUNSPECIFIED
Özkaya, EmreUNSPECIFIEDUNSPECIFIED
Gauger, Nicolas R.UNSPECIFIEDUNSPECIFIED
Backhaus, JanUNSPECIFIEDhttps://orcid.org/0000-0003-1951-3829
Frey, ChristianUNSPECIFIEDUNSPECIFIED
Mann, SebastianUNSPECIFIEDUNSPECIFIED
Nagel, MarcUNSPECIFIEDUNSPECIFIED
Date:June 2018
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Adjoint, CFD, Turbomachinery
Event Title:18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
Event Location:Denver, USA
Event Type:international Conference
Event Dates:05.-09. Jun. 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:propulsion systems
DLR - Research area:Aeronautics
DLR - Program:L ER - Engine Research
DLR - Research theme (Project):L - Virtual Engine and Validation methods
Location: Köln-Porz
Institutes and Institutions:Institute of Propulsion Technology > Numerical Methodes
Deposited By: Backhaus, Jan
Deposited On:24 Sep 2018 13:05
Last Modified:24 Sep 2018 13:05

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