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Charge distribution in turbulent flow of charged liquid — Modeling and experimental validation

Ratschow, Aaron D. ; Stein, Sigrun ; Gross, Hans‐Jürgen (2023)
Charge distribution in turbulent flow of charged liquid — Modeling and experimental validation.
In: Process Safety Progress, 2023, 42 (2)
doi: 10.26083/tuprints-00024306
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Charge distribution in turbulent flow of charged liquid — Modeling and experimental validation
Language: English
Date: 4 August 2023
Place of Publication: Darmstadt
Year of primary publication: 2023
Publisher: John Wiley & Sons
Journal or Publication Title: Process Safety Progress
Volume of the journal: 42
Issue Number: 2
DOI: 10.26083/tuprints-00024306
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

Electric discharges due to the flow of charged organic liquids are a common ignition source for explosions in the chemical and process industry. Prevention of incidents requires knowledge of electric fields above the surface of charged liquids. Quantitative methods often estimate electric fields based on simplifying assumptions like homogeneous volumetric charge distribution and neglect of surface charge. More detailed electrohydrodynamic (EHD) models are only available for laminar flow regimes. This work presents a model for forced turbulent EHD flows of dielectric liquids based on Reynolds‐averaged Navier–Stokes equations that predicts the electric field in the gas phase in good agreement with our experiments. We observe diminishing surface charge accumulation at the liquid surface with increasing flow velocities and thereby unify seemingly contradictory previous findings regarding the relevance of surface charge. The model can efficiently be applied to various industrial flow configurations and provide a central tool in preventing electrostatic hazards.

Uncontrolled Keywords: fire and explosion analysis, hazards evaluation, risk assessment
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-243064
Classification DDC: 500 Science and mathematics > 580 Plants (botany)
600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering > Institute for Nano- and Microfluidics (NMF)
Date Deposited: 04 Aug 2023 12:28
Last Modified: 17 Oct 2023 07:49
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/24306
PPN: 512231389
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