Bubble velocity measurement with a recursive cross correlation PIV technique

2005 ◽  
Vol 16 (1) ◽  
pp. 35-46 ◽  
Author(s):  
Wen Cheng ◽  
Yuichi Murai ◽  
Toshio Sasaki ◽  
Fujio Yamamoto
Keyword(s):  
Velocity Measurement ◽  
Cross Correlation ◽  
Bubble Velocity ◽  
Piv Technique

Bubble velocity measurement using magnetic fluid and electromagnetic induction

2009 ◽  
Vol 21 (9) ◽  
pp. 097101 ◽  
Author(s):  
Takuya Kuwahara ◽  
Florian De Vuyst ◽  
Hiroshi Yamaguchi
Keyword(s):  
Magnetic Fluid ◽  
Velocity Measurement ◽  
Electromagnetic Induction ◽  
Bubble Velocity

Study on Velocity Measurement of Gas/Solid Flow Based on Electrostatic Sensor

2014 ◽  
Vol 614 ◽  
pp. 275-278
Author(s):  
Yu Tang ◽  
Xiang Deng ◽  
Shuo Tian
Keyword(s):  
Measurement System ◽  
Velocity Measurement ◽  
Flow Measurement ◽  
Cross Correlation ◽  
Low Cost ◽  
High Sensitivity ◽  
Two Phase ◽  
Solid Flow ◽  
Correlation Algorithm ◽  
Electrostatic Induction

Electrostatic sensor is based on the principle of electrostatic induction. It is widely used for gas/solid two-phase flow measurement because it has the advantages of simple structure, high sensitivity, low cost, etc. In this paper, a velocity measurement system of gas/solid flow based on electrostatic sensor and cross-correlation algorithm is discussed. Electrostatic sensor with circular electrode is adopted. By COMSOL optimum simulation, the axial length of the electrode is designed. The signal conditioning circuits are discussed and cross-correlation algorithm is analyzed. The initial experimental results demonstrate that the velocity measurement system of gas/solid flow designed in this paper is feasible.

K-0304 Application of Wavelet to bubble velocity measurement with optical-fiber probe

2001 ◽  
Vol I.01.1 (0) ◽  
pp. 7-8
Author(s):  
Iwao OHTSU ◽  
Masaya Kondo ◽  
Taisuke YONOMOTO ◽  
Yoshinari ANODA
Keyword(s):  
Optical Fiber ◽  
Velocity Measurement ◽  
Bubble Velocity ◽  
Fiber Probe ◽  
Optical Fiber Probe

A Combined Interpolation Method for Cross Correlation Based Particle Velocity Measurement

2012 ◽  
Vol 508 ◽  
pp. 67-70
Author(s):  
Gang Yang ◽  
Wei Dong Li ◽  
Yu Tao Wang ◽  
Ming Yu Li
Keyword(s):  
Correlation Function ◽  
Velocity Measurement ◽  
Cross Correlation ◽  
Interpolation Method ◽  
Sampling Rate ◽  
Time Delay Estimation ◽  
Parametric Models ◽  
Center Frequency ◽  
Estimation Accuracy ◽  
Particulate Solids

Cross correlation techniques have been proved to be a valuable tool for online continuous velocity measurement of particulate solids in pneumatic pipelines. In order to reduce computational complexity the sampling frequency is usually kept as low as possible, and the peak in the correlation function is found by interpolating the correlation function. Parabola functions are commonly used as parametric models of the cross correlation function in time delay estimation. However, the parabolic-fit interpolation method introduces a bias at low sampling rate to the center frequency ratio of input signal. In this paper, a combined interpolation method is proposed to improve the estimation accuracy. Experiments are carried out to evaluate the performance of the proposed interpolation method for low sampling rate. The experimental results have been promising and have shown the potential of the proposed method for particle flow velocity measurements.

Applications of Micro-PIV Technique in Visualization of Flow in Microspace

2007 ◽  
Author(s):  
Ruijin Wang ◽  
Jianzhong Lin ◽  
Yifeng Wang
Keyword(s):  
Cross Correlation ◽  
Particle Image ◽  
Characteristic Length ◽  
Tracer Particle ◽  
Image Process ◽  
Micro Piv ◽  
Correlation Algorithm ◽  
Piv Technique ◽  
Image Velocimetry ◽  
Brown Motion

A micro-resolution particle image velocimetry (micro-PIV) technique for flow visualization in microspace is presented here. The micro-PIV system was constructed through adding an epi-fluorescence microscope, improving the light source and choosing suitable tracing particle. According to smaller characteristic length of the flow in microscale and higher precision prolepsis, an image process technique based on cross correlation algorithm was conducted. To eliminate the main error caused by Brown motion of tracer particle, an approach by averaging the velocities of the ensemble particles in same interrogation plot was brought forward. Micro-PIV measure-ments of three typical flows (in a micromixer, near barriers and in a micro-jet) were carried out. The experimental results show that the micro-PIV system is suitable to both steady and unsteady flow in microscale. It is helpful to design micro-devices and analysis on data collected from such micro-devices.

Sign in / Sign up

Export Citation Format

Share Document