Abstract

Dispersed oil–water flow was studied in a 12m long horizontal acrylic pipe, with 26mm of internal diameter, using mineral oil (828kg/m3 of density and 220cP 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.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.