Measurement of Water Velocity in Gas-Water Two-Phase Flow with the Combination of Electromagnetic Flowmeter and Conductance Sensor.

conductance sensor electromagnetic flowmeter (EMF) gas-water two-phase flow instrument factor water superficial

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
31 May 2020
Historique:
received: 10 05 2020
revised: 27 05 2020
accepted: 29 05 2020
entrez: 4 6 2020
pubmed: 4 6 2020
medline: 4 6 2020
Statut: epublish

Résumé

A method to measure the superficial velocity of the water phase in gas-water flow using an electromagnetic flowmeter (EMF) and rotating electric field conductance sensors (REFCSs) is introduced in this paper. An electromagnetic flowmeter instrument factor model is built and the correlation between electromagnetic flowmeter output and gas holdup in different flow patterns are explored through vertical upward gas-water flow dynamic experiments in a pipe with an inner diameter (ID) of 20 mm. Water superficial velocity is predicted based on pattern identification among bubble, churn, and slug flows. The experimental results show that water superficial velocity can be predicted fairly accurately for bubble, churn, and slug flows with a water cut higher than 60% (absolute average percentage deviation and absolute average deviation are 4.1057% and 0.0281 m/s, respectively). The output of the electromagnetic flowmeter is unstable and invalid in slug flows with a water cut below 60% due to the non-conducting gas slug is almost filling the pipe. Therefore, the electromagnetic flowmeter is not preferred to be used in such conditions.

Identifiants

pubmed: 32486465
pii: s20113122
doi: 10.3390/s20113122
pmc: PMC7309163
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Natural Science Foundation of China
ID : 51527805
Organisme : National Natural Science Foundation of China
ID : 41974139

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

Références

Sensors (Basel). 2016 Oct 14;16(10):
pubmed: 27754412
Sensors (Basel). 2019 Jun 17;19(12):
pubmed: 31213018
Sensors (Basel). 2020 Apr 28;20(9):
pubmed: 32354018

Auteurs

Qiu-Yi Yang (QY)

School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China.

Ning-De Jin (ND)

School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China.

Lu-Sheng Zhai (LS)

School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China.

Ying-Yu Ren (YY)

School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China.

Chuang Yu (C)

School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China.

Ji-Dong Wei (JD)

School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China.

Classifications MeSH