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Clustering of paraffin-based hybrid rocket fuels combustion data

Rüttgers, Alexander and Petrarolo, Anna and Kobald, Mario (2019) Clustering of paraffin-based hybrid rocket fuels combustion data. Experiments in Fluids, 61 (4), pp. 1-17. Springer. DOI: 10.1007/s00348-019-2837-8 ISSN 0723-4864

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Official URL: https://link.springer.com/article/10.1007%2Fs00348-019-2837-8

Abstract

Clustering was applied to image data of hybrid rocket combustion tests for a better understanding of the complex flow phenomena. Novel techniques such as hybrid rockets that allow for cost reductions of space transport vehicles are of high importance in space flight. However, the combustion process in hybrid rocket engines is still a matter of ongoing research and not fully understood yet. Recently, combustion tests with different paraffin-based fuels have been performed at the German Aerospace Center (DLR). For a detailed analysis, the combustion process has been captured with a high-speed video camera, which leads to a huge amount of images for each test. In the end, a large data set with a total number of 30,000 images for each combustion test has to be analyzed. To catch the essential flow structures, the combustion data set was clustered with a K-means++ algorithm. Since the algorithm might converge to local optimal solutions, expensive repetitions have been performed to ensure that a global solution is found in the end. Furthermore, a detailed analysis was performed to find an adequate clustering algorithm in the first place and to estimate the number of relevant clusters K in each experiment. As a result, valuable insights into the different combustion phases were obtained and a comparison of the quality of the combustion flame in the different tests could be made. In particular, depending on the fuel formulation and oxidizer mass flow, differences in the transients and flame brightness were found.

Item URL in elib:https://elib.dlr.de/131734/
Document Type:Article
Title:Clustering of paraffin-based hybrid rocket fuels combustion data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Rüttgers, AlexanderAlexander.Ruettgers (at) dlr.dehttps://orcid.org/0000-0001-6347-9272
Petrarolo, AnnaAnna.Petrarolo (at) dlr.dehttps://orcid.org/0000-0002-2291-2874
Kobald, MarioMario.Kobald (at) dlr.dehttps://orcid.org/0000-0002-1708-3944
Date:21 November 2019
Journal or Publication Title:Experiments in Fluids
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:61
DOI :10.1007/s00348-019-2837-8
Page Range:pp. 1-17
Publisher:Springer
ISSN:0723-4864
Status:Published
Keywords:Clustering, machine learning, hybrid rocket combustion, K-Means algorithm, optical investigations
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Vorhaben SISTEC, Project ATEK
Location: Köln-Porz
Institutes and Institutions:Institut of Simulation and Software Technology > High Performance Computing
Institute of Space Propulsion > Propellants
Institut of Simulation and Software Technology
Deposited By: Rüttgers, Dr. Alexander
Deposited On:02 Dec 2019 10:10
Last Modified:02 Dec 2019 10:10

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