dc.creatordos Reis, E
dc.creatorGoldstein, L
dc.date2010
dc.dateSEP
dc.date2014-11-17T21:17:15Z
dc.date2015-11-26T16:46:37Z
dc.date2014-11-17T21:17:15Z
dc.date2015-11-26T16:46:37Z
dc.date.accessioned2018-03-28T23:32:31Z
dc.date.available2018-03-28T23:32:31Z
dc.identifierFlow Measurement And Instrumentation. Elsevier Sci Ltd, v. 21, n. 3, n. 347, n. 355, 2010.
dc.identifier0955-5986
dc.identifierWOS:000282083100026
dc.identifier10.1016/j.flowmeasinst.2010.04.006
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/62891
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/62891
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/62891
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1274582
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionThe slug flow is a common occurrence in gas-liquid piping flows. Usually it is an undesirable flow regime since the existence of long lumps of liquid slug moving at high speed is unfavorable to gas-liquid transportation, so that considerable effort has been devoted to study its hydrodynamic characteristics. In this work, a capacitive probe was used for dynamic measurements in the horizontal air-water slug flows, for several flow rates. The acquired signals were representative of the effective liquid layer thickness near every cross sectional area of the flow, instead of merely the holdup or void fraction in a finite volume of the flow. This was possible because probe had a thin sensing electrode that minimizes the axial length effect on the measurements. Tests were performed in a 34 mm i.d. acrylic pipe, 5 m long; in which slug flows as well as stratified-smooth and stratified-wavy flows were generated. Signal analysis techniques were applied for flow regime identification and toward characterization of these two-phase flows: Power Spectrum Density (PSD) from Fourier Transform and Probability Density Function (PDF) from Statistical Analysis. Therefore, PSD and PDF graphs were taken as signatures of each flow under test and a correlation was calculated for each PSD and PDF set of data, which showed to be a robust parameter for correct flow regime identification. (C) 2010 Elsevier Ltd. All rights reserved.
dc.description21
dc.description3
dc.descriptionSI
dc.description347
dc.description355
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.languageen
dc.publisherElsevier Sci Ltd
dc.publisherOxford
dc.publisherInglaterra
dc.relationFlow Measurement And Instrumentation
dc.relationFlow Meas. Instrum.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectSlug flow
dc.subjectCapacitance probe
dc.subjectLiquid layer thickness
dc.subjectSignal analysis
dc.subjectFFT
dc.subjectPDF
dc.subjectVoid Fraction Measurements
dc.subjectRegime Identification
dc.subject2-phase Flow
dc.subjectTomography
dc.subjectSimulation
dc.subjectSensors
dc.titleCharacterization of slug flows in horizontal piping by signal analysis from a capacitive probe
dc.typeArtículos de revistas


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