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Data Clustering of Hybrid Rocket Combustion Flame

Petrarolo, Anna and Kobald, Mario and Rüttgers, Alexander (2019) Data Clustering of Hybrid Rocket Combustion Flame. In: AIAA Propulsion and Energy 2019 Forum. AIAA Propulsion and Energy 2019 Forum, 19 - 22 August 2019, Indianapolis, IN, USA. DOI: 10.2514/6.2019-4193

Full text not available from this repository.

Abstract

Hybrid rocket propulsion is a promising technology for many applications, because it allows for cost reductions, still being able to deliver similar performance as solid and liquid propulsion. However, the complex fluid dynamic and combustion phenomena taking place in the hybrid rocket combustion chamber are not fully understood yet and still a matter of ongoing research. In the last years, many combustion tests with different paraffin-based fuels were performed at the German Aerospace Center (DLR) with an optically accessible combustion chamber. For gaining a better insight into the combustion process, the tests were captured with a high-speed video camera. This led to a huge amount of data images for each test, which needed to be analysed in detail. In the framework of this study, the combustion data set was clustered with a K-means++ algorithm, in order to get insights into the complex flow phenomena. Since the algorithm might converge to local optimal solutions, many repetitions were performed to ensure that a global optimal solution is reached. Moreover, an analysis was necessary to estimate the number of relevant clusters in each experiment. From the results it is possible to observe that different clusters, corresponding to different combustion phases, were found by the algorithm. Moreover, the combustion flame behaviour is changing depending on the oxidizer mass flow and fuel.

Item URL in elib:https://elib.dlr.de/130742/
Document Type:Conference or Workshop Item (Speech)
Title:Data Clustering of Hybrid Rocket Combustion Flame
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Petrarolo, AnnaAnna.Petrarolo (at) dlr.dehttps://orcid.org/0000-0002-2291-2874
Kobald, MarioMario.Kobald (at) dlr.dehttps://orcid.org/0000-0002-1708-3944
Rüttgers, AlexanderAlexander.Ruettgers (at) dlr.dehttps://orcid.org/0000-0001-6347-9272
Date:16 August 2019
Journal or Publication Title:AIAA Propulsion and Energy 2019 Forum
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.2514/6.2019-4193
Status:Published
Keywords:hybrid rocket combustion, K-Means algorithm, clustering, optical investigations
Event Title:AIAA Propulsion and Energy 2019 Forum
Event Location:Indianapolis, IN, USA
Event Type:international Conference
Event Dates:19 - 22 August 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Transport
DLR - Research area:Raumfahrt
DLR - Program:R RP - Raumtransport
DLR - Research theme (Project):Project ATEK
Location: Lampoldshausen
Institutes and Institutions:Institute of Space Propulsion > Propellants
Deposited By: Hanke, Michaela
Deposited On:26 Nov 2019 08:16
Last Modified:26 Nov 2019 08:16

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