Aulich, Marcel and Küppers, Fabian and Schmitz, Andreas and Voß, Christian (2019) Surrogate Estimations of Complete Flow Fields of Fan Stage Designs via Deep Neural Networks. In: Proceedings of the ASME Turbo Expo. ASME Turbo Expo 2019, 17.-21. Jun. 2019, Phoenix, Arizona, USA.
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Item URL in elib: | https://elib.dlr.de/133429/ | |||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | |||||||||||||||
Title: | Surrogate Estimations of Complete Flow Fields of Fan Stage Designs via Deep Neural Networks | |||||||||||||||
Authors: |
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Date: | June 2019 | |||||||||||||||
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 | |||||||||||||||
Status: | Published | |||||||||||||||
Keywords: | Surrogate Models, Deep Learning, Artificial Neural Networks, Fan Design, Turbomachinery Optimisation, 3D Flow Field Estimation, Convolutional Layers | |||||||||||||||
Event Title: | ASME Turbo Expo 2019 | |||||||||||||||
Event Location: | Phoenix, Arizona, USA | |||||||||||||||
Event Type: | international Conference | |||||||||||||||
Event Dates: | 17.-21. Jun. 2019 | |||||||||||||||
Organizer: | The American Society of Mechanical Engineers | |||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | |||||||||||||||
HGF - Program: | Aeronautics | |||||||||||||||
HGF - Program Themes: | other | |||||||||||||||
DLR - Research area: | Aeronautics | |||||||||||||||
DLR - Program: | L - no assignment | |||||||||||||||
DLR - Research theme (Project): | L - no assignment | |||||||||||||||
Location: | Köln-Porz | |||||||||||||||
Institutes and Institutions: | Institute of Propulsion Technology > Fan and Compressor | |||||||||||||||
Deposited By: | Aulich, Marcel | |||||||||||||||
Deposited On: | 13 Jan 2020 09:31 | |||||||||||||||
Last Modified: | 13 Jan 2020 09:31 |
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