scholarly journals PRIMARY PEAK RATIO CORRELATION TO THE MEASUREMENT ACCURACY OF PIV METHOD

2018 ◽  
Vol 58 (3) ◽  
pp. 189
Author(s):  
Jan Novotny ◽  
Ilona Machovska
Keyword(s):  
Measurement Accuracy ◽  
Particle Image ◽  
Peak Ratio ◽  
Piv Method ◽  
Image Velocimetry ◽  
Particle Image Velocimetry Method ◽  
Interrogation Area ◽  
Ratio Correlation ◽  
Individual Metrics

An estimation of a measurement accuracy at each measured point is crucial regarding the applicability of results of the measurements. The aim of this work is to determine the correlation between individual metrics and the measurement accuracy by using corrected metrics of the correlation plane. This work is based on defining a corrected metric using known metrics corrected by the displacement measured in the last iteration, the number of the particles and the velocity gradient inside the interrogation area. The resulting tests are performed using conventional synthetic tests. The discovered dependencies between individual corrected metrics are subsequently approximated in order to determine the measurement accuracy. And, finally, the most suitable variant for the determination of the accuracy of the measurement by the particle image velocimetry method is specified.

scholarly journals Zone of flow separation at the upstream edge of a rectangular broad-crested weir / Oblast odtržení proudu na návodní hraně pravoúhlého přelivu se širokou korunou

2012 ◽  
Vol 60 (4) ◽  
pp. 288-298 ◽  
Author(s):  
Zbyněk Zachoval ◽  
Ivana Mistrová ◽  
Ladislav Roušar ◽  
Jan Šulc ◽  
Pavel Zubík
Keyword(s):  
Flow Separation ◽  
Water Surface ◽  
Particle Image ◽  
Pressure Head ◽  
Critical Depth ◽  
Surface Level ◽  
Image Velocimetry ◽  
Particle Image Velocimetry Method ◽  
Basic Characteristics

The paper deals with the determination of the basic characteristics of flow at the crest of a rectangular broad-crested weir and in detail with the characteristics of flow separation at the upstream edge of the weir crest. The determination of the characteristics is made on the basis of measurement of the water surface level, the pressure head and the velocity field using the Particle Image Velocimetry method. The characteristics are expressed dimensionless in relation to the energy overflow head and the critical depth.

Design and implementation of a particle image velocimetry method for analysis of running gear–soil interaction

2013 ◽  
Vol 50 (5-6) ◽  
pp. 311-326 ◽  
Author(s):  
Carmine Senatore ◽  
Markus Wulfmeier ◽  
Ivan Vlahinić ◽  
Jose Andrade ◽  
Karl Iagnemma
Keyword(s):  
Particle Image Velocimetry ◽  
Particle Image ◽  
Design And Implementation ◽  
Image Velocimetry ◽  
Particle Image Velocimetry Method

scholarly journals Spurious PIV Vector Correction Using Linear Stochastic Estimation

Fluids ◽  
2019 ◽  
Vol 4 (3) ◽  
pp. 139 ◽  
Author(s):  
Daniel Butcher ◽  
Adrian Spencer
Keyword(s):  
Particle Image ◽  
Velocity Fields ◽  
Average Error ◽  
Stochastic Estimation ◽  
Linear Stochastic Estimation ◽  
Statistical Measures ◽  
Image Velocimetry ◽  
Significant Difference ◽  
Bicubic Interpolation

Techniques for the experimental determination of velocity fields such as particle image velocimetry (PIV) can often be hampered by spurious vectors or sparse regions of measurement which may occur due to a number of reasons. Commonly used methods for detecting and replacing erroneous values are often based on statistical measures of the surrounding vectors and may be influenced by further poor data quality in the region. A new method is presented in this paper using Linear Stochastic Estimation for vector replacement (LSEVR) which allows for increased flexibility in situations with regions of spurious vectors. LSEVR is applied to PIV dataset to demonstrate and assess its performance relative to commonly used bilinear and bicubic interpolation methods. For replacement of a single vector, all methods performed well, with LSEVR having an average error of 11% in comparison to 14% and 18% for bilinear and bicubic interpolation respectively. A more significant difference was found in replacement of clusters of vectors which showed average vector angle errors of 10°, 9° and 6° for bilinear, bicubic and LSEVR respectively. Error in magnitude was 3% for both interpolation techniques and 1% for LSEVR showing a clear benefit to using LSEVR for conditions that require multiple clustered vectors to be replaced.

An Experimental Review on Microbubble Generation to be Used in Echo-Particle Image Velocimetry Method to Determine the Pipe Flow Velocity

2013 ◽  
Vol 135 (3) ◽  
Author(s):  
Alinaghi Salari ◽  
M. B. Shafii ◽  
Shapour Shirani
Keyword(s):  
Particle Image Velocimetry ◽  
Contrast Agents ◽  
Particle Image ◽  
Low Cost ◽  
Ultrasound Contrast Agents ◽  
Surface Active Agents ◽  
Image Velocimetry ◽  
Particle Image Velocimetry Method ◽  
Microbubble Contrast Agents

Microbubbles are broadly used as ultrasound contrast agents. In this paper we use a low-cost flow focusing microchannel fabrication method for preparing microbubble contrast agents by using some surface active agents and a viscosity enhancing material to obtain appropriate microbubbles with desired lifetime and stability for any in vitro infusion for velocity measurement. All the five parameters that govern the bubble size extract and some efforts are done to achieve the smallest bubbles by adding suitable surfactant concentrations. By using these microbubbles for the echo-particle image velocimetry method, we experimentally determine the velocity field of steady state and pulsatile pipe flows.

scholarly journals Application of particle image velocimetry (PIV) to measure the displacement of sandy soil in laboratory

2021 ◽  
Vol 63 (3) ◽  
pp. 70-77
Keyword(s):  
Grain Size ◽  
Particle Image Velocimetry ◽  
Sandy Soil ◽  
Laboratory Tests ◽  
Particle Image ◽  
Degree Of Saturation ◽  
Grain Sizes ◽  
Piv Method ◽  
Soil Displacement ◽  
Image Velocimetry

Particle image velocimetry (PIV) has been heavily used to measure the displacement and flow velocity in fluid mechanics. However, applications of this method to determining soil displacement in geotechnical laboratory tests are rare. This paper aims to verify the applicability of this method in determining the displacement of sandy soil under different saturation conditions and soil grain sizes. The results showed that this method could effectively determine soil displacement with an accuracy of 0.13 mm. Furthermore, the degree of saturation of soil did not influence the PIV results whereas the homogeneity of soil, as indicated by grain size distribution, reduced the precision of the PIV method.

Determination of the Maximum Tangential Velocities in Vortex Rings by Particle Image Velocimetry

2002 ◽  
Vol 2002.40 (0) ◽  
pp. 181-182
Author(s):  
Sentarou MOURI ◽  
Jeekuen REE ◽  
Keiya NISHIDA ◽  
Naohiro SHIMOMACHI ◽  
Kazuhiro KAMEDA ◽  
...  
Keyword(s):  
Particle Image Velocimetry ◽  
Particle Image ◽  
Vortex Rings ◽  
Image Velocimetry
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