Velocity bias in intrusive gas-liquid flow measurements.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
05 Jul 2021
Historique:
received: 21 06 2020
accepted: 04 06 2021
entrez: 6 7 2021
pubmed: 7 7 2021
medline: 7 7 2021
Statut: epublish

Résumé

Gas-liquid flows occur in many natural environments such as breaking waves, river rapids and human-made systems, including nuclear reactors and water treatment or conveyance infrastructure. Such two-phase flows are commonly investigated using phase-detection intrusive probes, yielding velocities that are considered to be directly representative of bubble velocities. Using different state-of-the-art instruments and analysis algorithms, we show that bubble-probe interactions lead to an underestimation of the real bubble velocity due to surface tension. To overcome this velocity bias, a correction method is formulated based on a force balance on the bubble. The proposed methodology allows to assess the bubble-probe interaction bias for various types of gas-liquid flows and to recover the undisturbed real bubble velocity. We show that the velocity bias is strong in laboratory scale investigations and therefore may affect the extrapolation of results to full scale. The correction method increases the accuracy of bubble velocity estimations, thereby enabling a deeper understanding of fundamental gas-liquid flow processes.

Identifiants

pubmed: 34226538
doi: 10.1038/s41467-021-24231-4
pii: 10.1038/s41467-021-24231-4
pmc: PMC8257743
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4123

Références

Nature. 2002 Aug 22;418(6900):839-44
pubmed: 12192401
Nat Commun. 2015 Sep 08;6:8247
pubmed: 26346098
Sci Rep. 2019 Jul 29;9(1):11008
pubmed: 31358773

Auteurs

B Hohermuth (B)

Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich, Zurich, Switzerland. hohermuth@vaw.baug.ethz.ch.

M Kramer (M)

School of Engineering and Information Technology (SEIT), UNSW Canberra, Campbell, Australia.

S Felder (S)

Water Research Laboratory, School of Civil and Environmental Engineering, UNSW Sydney, Sydney, Australia.

D Valero (D)

Water Resources and Ecosystems Department, IHE Delft Institute for Water Education, Delft, the Netherlands.

Classifications MeSH