Minimization of the Settling Time of Variable Area Flowmeters

Mateusz Turkowski , Artur Szczecki , Maciej Szudarek


In the article a differential equation describing transient behavior of variable area (VA) meters has been developed and validated experimentally for air as a measured fluid and for two float shapes—plumb bob and sphere. A modified version of simplex algorithm adapted for nonlinear constraint optimization problems was applied to minimize the settling time of VA meters in two cases. In the first case both the float and tube geometry were altered. In the second case only the float geometry was modified. The second case has been validated experimentally. The theory and experiment is in reasonable agreement (under 5% of full scale), which is satisfactory for the purposes of optimization of VA flowmeters dynamic performance. Analytical model of VA flowmeter has been proven to be a proper tool for optimization. Settling times obtained during the optimization process were several times shorter than these of commercially manufactured instruments. Overshoot has not exceeded the assumed value of 3%.
Author Mateusz Turkowski (FM / IMBE)
Mateusz Turkowski,,
- The Institute of Metrology and Biomedical Engineering
, Artur Szczecki (FM / IMBE)
Artur Szczecki,,
- The Institute of Metrology and Biomedical Engineering
, Maciej Szudarek (FM / IMBE)
Maciej Szudarek,,
- The Institute of Metrology and Biomedical Engineering
Journal seriesSensors, [SENSORS-BASEL], ISSN 1424-8220, (N/A 100 pkt)
Issue year2019
Publication size in sheets0.3
Keywords in Englishvariable area flowmeters, rotameters, optimization, flow sensors, industry 4.0, modelling
ASJC Classification2208 Electrical and Electronic Engineering; 1303 Biochemistry; 3107 Atomic and Molecular Physics, and Optics; 1602 Analytical Chemistry
Languageen angielski
Score (nominal)100
Score sourcejournalList
ScoreMinisterial score = 100.0, 19-11-2019, ArticleFromJournal
Publication indicators WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 1.393; WoS Impact Factor: 2018 = 3.031 (2) - 2018=3.302 (5)
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