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Inquiries about copyright and reproduction should be addressed to :Technical Cooperation Section,Technology Management Division,Japan Nuclear Cycle Development Institute4-49 Muramatsu, Tokai-mura, Naka-gun, Ibaraki 319-1194Japan.
©1999
H^H&SI (Japan Nuclear Cycle Development Institute)
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JNC TN9400 99-078October, 1999
Development of Flow Velocity Measurement Techniques in Visible Images- Improvement of Particle Image Velocimetry Techniques on Image Process -
Nobuyuki KIMURA1, Yasuhiro MIYAKE2, Motohiko NISHIMURA1,Hideki KAMIDE1 and Koichi HISHIDA3
ABSTRACT
Noise reduction system was developed to improve applicability of Particle Image Velocimetry(PIV) to complicated configure bounded flows. For fast reactor safety and thermal hydraulicstudies, experiments are performed in scale models which usually have rather complicatedgeometry and structures such as fuel subassemblies, heat exchangers, etc. The structures andstuck dusts on the view window of the models obscure the particle image. Thus the image exceptthe moving particles can be regarded as a noise.
In the present study, two noise reduction techniques are proposed. The one is the Time-averaged Light Intensity Subtraction method (TIS) which subtracts the time-averaged lightintensity of each pixel in the sequential images from the each corresponding pixel. The other oneis the Minimum Light Intensity Subtraction method (MIS) which subtracts the minimum lightintensity of each pixel in the sequential images from the each corresponding pixel.
Both methods are examined on their capabilities of noise reduction. As for the original"bench mark" image, the image made from Large Eddy Simulation was used. To the bench markimage, noises are added which are referred as sample images.
Both methods reduce the rate of vector with the error of more than one pixel from 90% to lessthan 5%. Also, more than 50% of the vectors have the error of less than 0.2 pixel.
The analysis of uncertainty shows that these methods enhances the accuracy of vectormeasurement 3 — 12 times if the image with noise were processed, and the TIS method has 1.1 ~2.1 times accuracy compared to the TIS.
Thus the present noise reduction methods are quite efficient to enhance the accuracy of flowvelocity fields measured with particle images including structures and deposits on the viewwindow.
1 Reactor Engineering Group, Sodium and Safety Engineering Division, O-arai EngineeringCenter2 NDD Corporation3 Visiting Researcher, Reactor Engineering Group, Sodium and Safety Engineering Division,
O-arai Engineering Center(Dept. of Mech. Eng., Keio Univ.)
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[1] Takeda Y., Development of an ultrasound velocity profile monitor, Nucl. Eng.Design, Vol. 126,277-284, 1990.
[2] Adrian R. J., "Particle-imaging techniques for experimental fluid mechanics", Ann.Rev. Fluid Mech., Vol. 23,261,1991.
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