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Machine Learning Methods for the Design and Operation of Liquid Rocket Engines - Research Activities at the DLR Institute of Space Propulsion

Waxenegger-Wilfing, Günther and Dresia, Kai and Deeken, Jan C. and Oschwald, Michael (2021) Machine Learning Methods for the Design and Operation of Liquid Rocket Engines - Research Activities at the DLR Institute of Space Propulsion. Space Propulsion 2020+1, 17.-19. März 2021, Virtuelle Konferenz.

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Abstract

The last years have witnessed an enormous interest in the use of artificial intelligence methods, especially machine learning algorithms. This also has a major impact on aerospace engineering in general, and the design and operation of liquid rocket engines in particular, and research in this area is growing rapidly. The paper describes current machine learning applications at the DLR Institute of Space Propulsion. Not only applications in the field of modeling are presented, but also convincing results that prove the capabilities of machine learning methods for control and condition monitoring are described in detail. Furthermore, the advantages and disadvantages of the presented methods as well as current and future research directions are discussed.

Item URL in elib:https://elib.dlr.de/141735/
Document Type:Conference or Workshop Item (Speech)
Title:Machine Learning Methods for the Design and Operation of Liquid Rocket Engines - Research Activities at the DLR Institute of Space Propulsion
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Waxenegger-Wilfing, GüntherGuenther.Waxenegger (at) dlr.dehttps://orcid.org/0000-0001-5381-6431
Dresia, KaiKai.Dresia (at) dlr.dehttps://orcid.org/0000-0003-3229-5184
Deeken, Jan C.Jan.Deeken (at) dlr.dehttps://orcid.org/0000-0002-5714-8845
Oschwald, MichaelMichael.Oschwald (at) dlr.dehttps://orcid.org/0000-0002-9579-9825
Date:17 March 2021
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Machine Learning, Surrogate Modeling, Engine Control, Neural Networks, Liquid Rocket Engines
Event Title:Space Propulsion 2020+1
Event Location:Virtuelle Konferenz
Event Type:international Conference
Event Dates:17.-19. März 2021
Organizer:3AF
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Transportation
DLR - Research area:Raumfahrt
DLR - Program:R RP - Space Transportation
DLR - Research theme (Project):R - Project LUMEN (Liquid Upper Stage Demonstrator Engine)
Location: Lampoldshausen
Institutes and Institutions:Institute of Space Propulsion > Rocket Engine Systems
Deposited By: Waxenegger-Wilfing, Günther
Deposited On:13 Apr 2021 06:42
Last Modified:13 Apr 2021 06:42

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