Phase distribution measurements in narrow rectangular channels using image processing techniques

Charles Bentley, Art Ruggles

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Phase distribution of air-water flow in a narrow rectangular channel is examined using image processing techniques. Ink is added to the water and clear channel walls are used to allow high speed still photographs and video tape to be taken of the air-water flow field. Flow field images are digitized and stored in a Macintosh Ilci computer using a frame grabber board. Local grey levels are related to liquid thickness in the flow channel using a calibration fixture. Image processing shareware is used to calculate the spatially averaged liquid thickness from the image of the flow field. Time averaged spatial liquid distributions are calculated using image calculation algorithms. The spatially averaged liquid distribution is calculated from the time averaged spatial liquid distribution to formulate the combined temporally and spatially averaged liquid fraction values. The temporally and spatially averaged liquid fractions measured using this technique compare well to those predicted from pressure gradient measurements at zero superficial liquid velocity.

Original languageEnglish
Title of host publicationExperimental Techniques in Multiphase Flows
PublisherPubl by ASME
Pages9-15
Number of pages7
ISBN (Print)0791808645
StatePublished - 1991
EventWinter Annual Meeting of the American Society of Mechanical Engineers - Atlanta, GA, USA
Duration: Dec 1 1991Dec 6 1991

Publication series

NameAmerican Society of Mechanical Engineers, Fluids Engineering Division (Publication) FED
Volume125

Conference

ConferenceWinter Annual Meeting of the American Society of Mechanical Engineers
CityAtlanta, GA, USA
Period12/1/9112/6/91

Fingerprint

Dive into the research topics of 'Phase distribution measurements in narrow rectangular channels using image processing techniques'. Together they form a unique fingerprint.

Cite this