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dc.contributor.authorKihm, Kenneth D.
dc.contributor.authorLee, S. D.
dc.contributor.authorChung, Suk Ho
dc.date.accessioned2021-03-03T08:51:52Z
dc.date.available2021-03-03T08:51:52Z
dc.date.issued2014-09-29
dc.identifier.citationKihm, K. D., Lee, S. D., & Chung, S. H. (1996). CORRECTION OF PIV IMAGE BIASING USING TWO CO-ROTATING MIRRORS. Journal of Flow Visualization and Image Processing, 3(4), 265–277. doi:10.1615/jflowvisimageproc.v3.i4.30
dc.identifier.issn1065-3090
dc.identifier.doi10.1615/jflowvisimageproc.v3.i4.30
dc.identifier.urihttp://hdl.handle.net/10754/667839
dc.description.abstractThe rotating mirror configuration in particle image velocimetry (PIV) is generally used to provide an artificial image shift to resolve the directional ambiguities for the recorded particle image pairs. However, the reflected image from the rotating mirror inevitably creates normal velocity components with respect to the image plane, and this normal component causes spatially distributed systematic image errors. A potential solution for the problem is proposed to replace the single rotating mirror with two co-rotating mirrors. The use of two co-rotating mirrors reduces the image biasing with desired amounts of the velocity shift available, and, at the same time, makes the image biasing uniform on the entire image field so that analytical corrections for the biasing are readily feasible. Detailed imaging kinematics of the suggested method are presented to improve the design of practical PIV systems. Also presented is experimental confirmation of the image correction using two co-rotating mirrors.
dc.publisherBegell House
dc.relation.urlhttp://www.dl.begellhouse.com/journals/52b74bd3689ab10b,3eab43ed66d98c1e,5668a9941f0486b8.html
dc.rightsArchived with thanks to Journal of Flow Visualization and Image Processing
dc.titleCORRECTION OF PIV IMAGE BIASING USING TWO CO-ROTATING MIRRORS
dc.typeArticle
dc.contributor.departmentCombustion and Laser Diagnostics Laboratory
dc.contributor.departmentMechanical Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalJournal of Flow Visualization and Image Processing
dc.eprint.versionPost-print
dc.contributor.institutionTexas A&M University College Station, TX; and Micro/Nano-Scale Fluidics and Energy Transport Laboratory, University of Tennessee, Mechanical, Aerospace and Biomedical Engineering Department, Knoxville TN 37996-2210, USA.
dc.contributor.institutionDepartment of Mechanical Engineering, Seoul National University, Seoul 151-742, Korea.
dc.identifier.volume3
dc.identifier.issue4
dc.identifier.pages265-277
kaust.personChung, Suk Ho


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