Dust cloud evolution and flame propagation of organic dust deflagration under low wall influence

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Dust cloud evolution and flame propagation of organic dust deflagration under low wall influence. / Puttinger, Stefan; Spijker, Christoph; Schneiderbauer, Simon et al.
In: Journal of Loss Prevention in the Process Industries, Vol. 83.2023, No. July, 105042, 07.2023.

Research output: Contribution to journalArticleResearchpeer-review

Vancouver

Puttinger S, Spijker C, Schneiderbauer S, Pirker S, Meyer G, Buchner C et al. Dust cloud evolution and flame propagation of organic dust deflagration under low wall influence. Journal of Loss Prevention in the Process Industries. 2023 Jul;83.2023(July):105042. Epub 2023 Mar 30. doi: 10.1016/j.jlp.2023.105042

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@article{d0f3baff27ca4396ab59f7f4dc16a703,
title = "Dust cloud evolution and flame propagation of organic dust deflagration under low wall influence",
abstract = "The present study discusses experiments on organic dust explosions in a setup with low wall influence. The proposed apparatus decouples the dust dispersion and the deflagration event in two separate compartments. The use of a continuous-wave laser to illuminate the centre plane of the observation chamber allows capturing both, the dust cloud and the flame during the same experiment and eliminates typical problems caused by the limited dynamic range of high-speed cameras. A k-means clustering method is used for image segmentation to obtain the spatial extent and the propagation velocities of the unreacted particle cloud and the flame zone. Spatially resolved velocities are calculated by the additional use of an optical flow method. The main goal of the presented setup and image processing method is to provide high quality validation data for the development of numerical models on dust deflagration.",
keywords = "Dispersion system, Dust deflagration, Flame propagation, Image processing, Optical flow",
author = "Stefan Puttinger and Christoph Spijker and Simon Schneiderbauer and Stefan Pirker and Georg Meyer and Christoph Buchner and Andreas Kerbl",
note = "Publisher Copyright: {\textcopyright} 2023 The Author(s)",
year = "2023",
month = jul,
doi = "10.1016/j.jlp.2023.105042",
language = "English",
volume = "83.2023",
journal = "Journal of Loss Prevention in the Process Industries",
issn = "0950-4230",
publisher = "Elsevier",
number = "July",

}

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TY - JOUR

T1 - Dust cloud evolution and flame propagation of organic dust deflagration under low wall influence

AU - Puttinger, Stefan

AU - Spijker, Christoph

AU - Schneiderbauer, Simon

AU - Pirker, Stefan

AU - Meyer, Georg

AU - Buchner, Christoph

AU - Kerbl, Andreas

N1 - Publisher Copyright: © 2023 The Author(s)

PY - 2023/7

Y1 - 2023/7

N2 - The present study discusses experiments on organic dust explosions in a setup with low wall influence. The proposed apparatus decouples the dust dispersion and the deflagration event in two separate compartments. The use of a continuous-wave laser to illuminate the centre plane of the observation chamber allows capturing both, the dust cloud and the flame during the same experiment and eliminates typical problems caused by the limited dynamic range of high-speed cameras. A k-means clustering method is used for image segmentation to obtain the spatial extent and the propagation velocities of the unreacted particle cloud and the flame zone. Spatially resolved velocities are calculated by the additional use of an optical flow method. The main goal of the presented setup and image processing method is to provide high quality validation data for the development of numerical models on dust deflagration.

AB - The present study discusses experiments on organic dust explosions in a setup with low wall influence. The proposed apparatus decouples the dust dispersion and the deflagration event in two separate compartments. The use of a continuous-wave laser to illuminate the centre plane of the observation chamber allows capturing both, the dust cloud and the flame during the same experiment and eliminates typical problems caused by the limited dynamic range of high-speed cameras. A k-means clustering method is used for image segmentation to obtain the spatial extent and the propagation velocities of the unreacted particle cloud and the flame zone. Spatially resolved velocities are calculated by the additional use of an optical flow method. The main goal of the presented setup and image processing method is to provide high quality validation data for the development of numerical models on dust deflagration.

KW - Dispersion system

KW - Dust deflagration

KW - Flame propagation

KW - Image processing

KW - Optical flow

UR - http://www.scopus.com/inward/record.url?scp=85151469766&partnerID=8YFLogxK

U2 - 10.1016/j.jlp.2023.105042

DO - 10.1016/j.jlp.2023.105042

M3 - Article

AN - SCOPUS:85151469766

VL - 83.2023

JO - Journal of Loss Prevention in the Process Industries

JF - Journal of Loss Prevention in the Process Industries

SN - 0950-4230

IS - July

M1 - 105042

ER -