Multi-dimensional real-time blood flow velocity field measurement in elastic vascular phantoms using ultrasonic particle image velocimetry technique

2012 ◽  
Vol 131 (4) ◽  
pp. 3363-3363
Author(s):  
Ruibo Song ◽  
Ming Qian ◽  
Lili Niu ◽  
Qiaofeng Jin ◽  
Hairong Zheng
Keyword(s):  
Blood Flow ◽  
Particle Image Velocimetry ◽  
Velocity Field ◽  
Blood Flow Velocity ◽  
Field Measurement ◽  
Particle Image ◽  
Particle Image Velocimetry Technique ◽  
Flow Velocity Field ◽  
Image Velocimetry ◽  
Velocity Field Measurement

An Experimental Study on the Flow Structure inside a Display Cooler Using PIV Techniques

2006 ◽  
Vol 326-328 ◽  
pp. 167-170 ◽  
Author(s):  
Cheol Woo Park ◽  
In Je Baek ◽  
Jong Hwan Yoon
Keyword(s):  
Velocity Field ◽  
Flow Structure ◽  
Field Measurement ◽  
Large Scale ◽  
Particle Image ◽  
Base Plate ◽  
Vortical Flow ◽  
Piv Method ◽  
Image Velocimetry ◽  
Velocity Field Measurement

In the present study, the flow structure inside the refrigerating compartment of a scaleddown display cooler model was investigated experimentally using the particle image velocimetry (PIV) method, which is a reliable velocity field measurement technique. In addition, we also carried out flow visualization and computer simulations regarding the movements of thermo-fluid inside a display cooler. As a result, the velocity field measurement shows a large scale vortical flow structure inside the refrigerating compartment due to the entrained flow, thus penetrating a base plate through the open inlet gap.

scholarly journals Experimental Validation of Falling Liquid Film Models: Velocity Assumption and Velocity Field Comparison

Polymers ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1205
Author(s):  
Ruiqi Wang ◽  
Riqiang Duan ◽  
Haijun Jia
Keyword(s):  
Experimental Data ◽  
Particle Image Velocimetry ◽  
Velocity Field ◽  
Experimental Validation ◽  
Particle Image ◽  
Velocity Fields ◽  
Number Range ◽  
Comparison Results ◽  
Image Velocimetry ◽  
Experimental Particle

This publication focuses on the experimental validation of film models by comparing constructed and experimental velocity fields based on model and elementary experimental data. The film experiment covers Kapitza numbers Ka = 278.8 and Ka = 4538.6, a Reynolds number range of 1.6–52, and disturbance frequencies of 0, 2, 5, and 7 Hz. Compared to previous publications, the applied methodology has boundary identification procedures that are more refined and provide additional adaptive particle image velocimetry (PIV) method access to synthetic particle images. The experimental method was validated with a comparison with experimental particle image velocimetry and planar laser induced fluorescence (PIV/PLIF) results, Nusselt’s theoretical prediction, and experimental particle tracking velocimetry (PTV) results of flat steady cases, and a good continuity equation reproduction of transient cases proves the method’s fidelity. The velocity fields are reconstructed based on different film flow model velocity profile assumptions such as experimental film thickness, flow rates, and their derivatives, providing a validation method of film model by comparison between reconstructed velocity experimental data and experimental velocity data. The comparison results show that the first-order weighted residual model (WRM) and regularized model (RM) are very similar, although they may fail to predict the velocity field in rapidly changing zones such as the front of the main hump and the first capillary wave troughs.

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