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dc.creatorRiaño, Adriana Bonilla-
dc.creatorRodriguez, Iara H.-
dc.creatorBannwart, Antonio C.-
dc.creatorRodriguez, Oscar M. H.-
dc.date.accessioned2019-12-10T13:01:37Z-
dc.date.available2019-12-10T13:01:37Z-
dc.date.issued2015-11-
dc.identifier.citationRIAÑO, A. B. et al. Film thickness measurement in oil-water pipe flow using image processing technique. Experimental Thermal and Fluid Science, [S.l.], v. 68, p. 330-338, Nov. 2015.pt_BR
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0894177715001405pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/38099-
dc.description.abstractDispersed oil–water flow was studied in a 12 m long horizontal acrylic pipe, with 26 mm of internal diameter, using mineral oil (828 kg/m3 of density and 220 cP of viscosity) and tap water. Experiments with a high-speed video camera were performed to obtain images of the flow near the pipe wall in highly dispersed oil–water flow. A visualization section was properly designed and installed in the pipeline for that purpose. The technique applied in the present work is based on the acquisition of images of the flow, and then the application of digital image processing techniques in order to quantify the film thickness near the wall. A thin water film was detected at the top and bottom of the pipe at highly turbulent oil–water flow. A pre-processing enhancement algorithm and a combined segmentation algorithm are being proposed to measure the film thickness. A comparison with a phenomenological model is also presented. The combined method performs better when compared with the results obtained from the application of the traditional techniques individually.pt_BR
dc.languageen_USpt_BR
dc.publisherElsevierpt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceExperimental Thermal and Fluid Sciencept_BR
dc.subjectDispersed oil-water flowpt_BR
dc.subjectTwo-phase flowpt_BR
dc.subjectWater-film thicknesspt_BR
dc.subjectImage processingpt_BR
dc.subjectImage improvementpt_BR
dc.subjectImage segmentationpt_BR
dc.titleFilm thickness measurement in oil-water pipe flow using image processing techniquept_BR
dc.typeArtigopt_BR
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