Measurements of thermally stratified pipe flow using image-processing techniques

Sakakibara, Jun; Hishida, Koichi; Maeda, Masanobu

doi:10.1007/bf00944910

Cited by 127 publications

(58 citation statements)

References 8 publications

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“…In the present research, two kinds of the "sub-pixel interpolation" functions are compared to study the effect of the "sub-pixel interpolation" process on the sub-pixel accuracy improvement by using cross correlation method. The first one is the same as used by Sakakibara et al, (1993), and the second one is suggested by Fijita and Komura(1992).…”

Section: The Effect Of Sub-grid Interpolation Processmentioning

confidence: 99%

Evaluation of the cross correlation method by using PIV standard images

Saga

Kobayashi

et al. 1998

J Vis

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: Effects of various parameters for PIV image acquiring and processing on the final velocity field is studied by using PIV standard images (Okamoto et al., 1997) to evaluate the cross correlation method. The studied parameters include the size of interrogation window, the size of search window, the number of tracer particles, the diameter of tracer particles, out-of-plane velocity and average image velocity or the time interval between two images. In order to improve the PIV sub-pixel accuracy, the validity of the "sub-pixel interpolation" process also is discussed in the paper. Some useful conclusions are suggested for the optimal parameter selection for a final PIV result with high accuracy.

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Section: The Effect Of Sub-grid Interpolation Processmentioning

confidence: 99%

Evaluation of the cross correlation method by using PIV standard images

Saga

Kobayashi

et al. 1998

J Vis

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“…The typical size of measurement area is approximately 140 mm x 140 mm. Velocity vectors are calculated by the cross-correlation method with sub-pixel accuracy [8]. The typical spatial resolution of each velocity vector is 3 mm (22 x 22 pixels of reference window).…”

Section: Measurement Condition Of Pivmentioning

confidence: 99%

Experimental Measurement of Vortex Cavitation around a Suction Pipe Inlet

Ezure

Ito

Kameyama³

et al. 2016

JAPANESE JOURNAL OF MULTIPHASE FLOW

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1 2Z[ JK0 ¢£ S¤0 %+,-LM0 a¥¦2 §¨bp¡B0! ©ª«5ab#$¬ ae3¯°5±b 5 ! "²³%& x´µ} 2 ae 9!"#$%& ¶· *+ $ù RST%&26 \b *+ 7Ö î ×H288 789 7Ö î *+ 9:7 8C& ,;<=>2 8 9 a c? 0*+ 9:78C& @642789 7Ö09 \ 78 ABó x789 CD} ÞE5FGH/Na93ab a`p¡' "$1 9789ìí7/CD0EÞ*0N`9 78C& 9ab 0`3 I02J S¤0c f 134K0Ra93789L ¹# ì aeMN O;P5±b 8 8 9 a cd 5 H bS¤0QRóô078\bp¡¬ ae1W b010Sb Abstract Cavitation due to a suction vortex (vortex cavitation) is an important problem in some fluid machinery fields, such as fast reactors. In this study, a water experiment on vortex cavitation is carried out using a simple cylindrical vessel with a suction nozzle. In order to understand the fundamental behavior of vortex cavitation, its instantaneous occurrence behavior is grasped by visualization using high speed camera. Velocity distribution around vortex, which causes cavitation, is also quantitatively grasped by means of Particle Image Velocimetry. From visualization measurements, vortex cavitation is considered to be triggered by a wall nuclei and the cavity develops immediately toward the suction nozzle once triggering occurs on the bottom wall. In addition, distribution of pressure decrease along vortex center estimated based on Burgers model and measured velocity distribution shows monotone increase from the bottom wall toward the suction nozzle. As the results, the cavity is thought to develop toward the suction nozzle intake immediately, if some triggering of cavitation occur on the bottom wall.

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“…The temperature-sensitive nature of molecular fluorescence is suitable for measurement of temperature in small volume fluids like in microfluidic channels (Lou et al, 1999;Gallery et al, 1994;Sakakibara et al, 1993;Ali et al, 1990;Kubin et al, 1982). The temperature measurement is based on measuring fluorescence intensity ratios.…”

Section: Temperature Measurement Equations For Rhodamine B Dye Solutimentioning

confidence: 99%