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Electrical Resistance Tomography for Control Applications: Quantitative Study of the Gas-Liquid Distribution inside A Cyclone
Sattar, Muhammad Awais
Institute of Applied Computer Science, The Lodz University of Technology, Stefanowskiego 18/22, 90-924 Łódź, Poland.
ORCID iD:
0000-0002-2431-8182
Garcia, Matheus Martinez
Department of Chemical Engineering, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, The Netherlands.
ORCID iD:
0000-0001-9135-811X
Banasiak, Robert
Institute of Applied Computer Science, The Lodz University of Technology, Stefanowskiego 18/22, 90-924 Łódź, Poland.
ORCID iD:
0000-0002-1234-4949
Portela, Luis M.
Department of Chemical Engineering, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, The Netherlands.
Babout, Laurent
Institute of Applied Computer Science, The Lodz University of Technology, Stefanowskiego 18/22, 90-924 Łódź, Poland.
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2020 (English)
In:
Sensors, E-ISSN 1424-8220, Vol. 20, no 21, article id 6069
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
MDPI, 2020. Vol. 20, no 21, article id 6069
Keywords [en]
electrical resistance tomography (ERT), swirling two-phase flow, digital image processing, high-speed camera
National Category
Energy Engineering Meteorology and Atmospheric Sciences
Identifiers
URN:
urn:nbn:se:ltu:diva-111674
DOI:
10.3390/s20216069
ISI:
000589302300001
PubMedID:
33113871
Scopus ID:
2-s2.0-85094135959
OAI: oai:DiVA.org:ltu-111674
DiVA, id:
diva2:1938713
Funder
EU, Horizon 2020, 764902
Available from:
2025-02-19
Created:
2025-02-19
Last updated:
2025-10-21
Bibliographically approved
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