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dc.contributor.advisorSallam, Khaled A.
dc.contributor.authorSaini, Khushwant
dc.date.accessioned2014-04-17T19:53:58Z
dc.date.available2014-04-17T19:53:58Z
dc.date.issued2010-12-01
dc.identifier.urihttps://hdl.handle.net/11244/10051
dc.description.abstractMeasuring the velocity field of dispersed flows is of major importance in many applications, such as sprays and particle-laden jets. Traditional particle image velocimetry (PIV) setup is common in laboratories but it is limited to planar measurements. The objective of the present study was to conduct velocity measurements for sprays using HPIV. The present study involved extension of present holographic PIV method to spray fields. The present optical setup is based on inline digital holographic microscopy. Double-pulsed holograms were recorded and reconstructed to yield many two-dimensional slices (planes) of the flow field at two time instances. A large number of focused and unfocused drops appeared in each slice resulting in a lot of noise. Thus it was required to develop new image processing subroutines which could bypass the noise and consider only the focused droplets present in each plane while rejecting the shadow of non focused droplets not present in plane. Threshold subroutines help user to decide the signal to noise ratio in final processed images from hologram. The PIV correlation was used to calculate velocity from images processed with subroutines.
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dc.languageen_US
dc.publisherOklahoma State University
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titleApplying Holographic Particle Image Velocimetry to Sprays
dc.typetext
dc.contributor.committeeMemberLilley, David G.
dc.contributor.committeeMemberChambers, Frank W.
osu.filenameSaini_okstate_0664M_11225.pdf
osu.collegeEngineering, Architecture, and Technology
osu.accesstypeOpen Access
dc.description.departmentMechanical & Aerospace Engineering
dc.type.genreThesis
dc.subject.keywordsholography
dc.subject.keywordsimage processing
dc.subject.keywordsparticle image velocimetry
dc.subject.keywordspiv
dc.subject.keywordsptv


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