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Burning Phases Separation by Application of Clustering Algorithm to Hybrid Rocket Combustion Data

Petrarolo, Anna and Rüttgers, Alexander and Kobald, Mario (2019) Burning Phases Separation by Application of Clustering Algorithm to Hybrid Rocket Combustion Data. In: 32nd International Symposium on Space Technology and Science. 32nd International Symposium on Space Technology and Science, 15. - 21. Jun. 2019, Fukui, Japan.

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Official URL: https://archive.ists.or.jp/upload_pdf/2019-a-61.pdf

Abstract

K-means is a clustering algorithm that allows the classification of data into specific groups or clusters. Data points belonging to the same cluster are more similar (same properties and/or features) to each other than those in other groups. In this study, Kmeans++ clustering, an improved variant of the K-means clustering, was applied to hybrid rocket combustion data, in order to get insights into the complex flow phenomena. 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. From the results it is possible to observe that different clusters, corresponding to different combustion phases, were identified by the algorithm. A dependency of the combustion flame behaviour on the oxidizer mass flow and fuel composition was also found.

Item URL in elib:https://elib.dlr.de/130786/
Document Type:Conference or Workshop Item (Speech)
Title:Burning Phases Separation by Application of Clustering Algorithm to Hybrid Rocket Combustion Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Petrarolo, AnnaAnna.Petrarolo (at) dlr.dehttps://orcid.org/0000-0002-2291-2874
Rüttgers, AlexanderAlexander.Ruettgers (at) dlr.dehttps://orcid.org/0000-0001-6347-9272
Kobald, MarioMario.Kobald (at) dlr.dehttps://orcid.org/0000-0002-1708-3944
Date:2019
Journal or Publication Title:32nd International Symposium on Space Technology and Science
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Hybrid Rocket Combustion, K-means algorithm, Clustering, Optical Investigations
Event Title:32nd International Symposium on Space Technology and Science
Event Location:Fukui, Japan
Event Type:international Conference
Event Dates:15. - 21. Jun. 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 08:17
Last Modified:26 Nov 2019 08:17

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