Influence of Data Quality on Piv Measurement Accuracy

Novotný, Jan

doi:10.1615/jflowvisimageproc.2013003304

Cited by 8 publications

(4 citation statements)

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“…Courses of percentile RMS deviations from the values reported for instance in [7], [6] are shown in the Figure 13. In the attached graphs, there is a noticeable trend of the RMS decrease to such gradient value that corresponds to the value level, from which the correlation peak splitting starts.…”

Section: Synthetic Data Resultsmentioning

confidence: 98%

Influence of the velocity vector base relocation to the center of mass of the interrogation area on PIV accuracy

Kouba

Novotný

Nožička

2014

EPJ Web of Conferences

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Abstract. This paper is aimed at modification of calculation algorithm used in data processing from PIV (Particle Image Velocimetry) method. The modification of standard Multi-step correlation algorithm is based on imaging the centre of mass of the interrogation area to define the initial point of the respective vector, instead of the geometrical centre. This paper describes the principle of initial point-vector assignment, the corresponding data processing methodology including the test track analysis. Both approaches are compared within the framework of accuracy in the conclusion. The accuracy test is performed using synthetic and real data.

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Section: Synthetic Data Resultsmentioning

confidence: 98%

Influence of the velocity vector base relocation to the center of mass of the interrogation area on PIV accuracy

Kouba

Novotný

Nožička

2014

EPJ Web of Conferences

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“…The resulting dependency between the specific value of the corrected metric and the measurement accuracy is applicable only to the SCC algorithm. A detailed description and results of the synthetic tests can be found in [13]. An example of the results of both synthetic tests are shown in Figure 4.…”

Section: Methodsmentioning

confidence: 99%

Primary Peak Ratio Correlation to the Measurement Accuracy of Piv Method

Novotný¹,

Machovská²

2018

Acta Polytech

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Abstract. 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.

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“…using the Particle Image Velocimetry method (PIV) or stereo PIV. The resultant data from the aforementioned experimental method must meet general requirements [2]. As for data acquisition, the modal decomposition procedure is similar to results of numerical simulations.…”

Section: Methodsmentioning

confidence: 99%

Pulsatile flow analysis in a bend square channel by modal decomposition

Matěcha¹,

Netřebská²,

Adamec³

2014

EPJ Web of Conferences

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Abstract. The article analyzes the results of numerical simulations of pulsatile flow in a square channel with a 90• bend using Proper Orthogonal Decomposition (POD). The simulations of laminar steady and unsteady flow obtained by ANSYS Fluent commercial system were used as input for modal decomposition. Several regimes for different values of individual parameters (stationary flow component, ) were simulated. Not only energy-related modes but also modes significant from the viewpoint of energy dissipation. Other evaluated modes are the modes corresponding to the pulsatile flow frequency and the modes reflecting the flow separation at the bend. AimThe aim of the paper was to analyze the results of numerical simulation of unsteady pulsatile flow in the square cross-section channel with a 90• bend in the middle of its length using the Proper Orthogonal Decomposition (POD) method. ModelThe geometric model of channel for numerical simulation was created within the Designer program, which is part of the ANSYS Workbench v14. The channel model had a constant square cross-section over the whole length with an edge length of 5 mm. The channel was, in its whole length of 1000 mm, divided into several independent, consecutive sections. The lengths of the sections at the inlet and outlet from the computational area were 250 mm and they could be described as input (section 1) / output (section 5), or stabilizing sections. The remaining internal sections were considered to be the sections suitable for flow parameters evaluation. The middle section (3) -out of 5 sections -had dimensions of a cube with a 5 mm edge. Such dimensionally designed channel allowed the use of the same geometry even for data verification in a straight channel. The remaining two, yet unspecified sections, namely section 2 and 4, were divided proportionally. All the aforementioned divisions and constructions were based on [1]. Numerical simulation Computational meshFor the created channel a structured mesh containing only elements of six-wall type was defined. A non-uniform mesh a e-mail: lukas.manoch@fs.cvut.cz b e-mail: jan.matecha@fs.cvut.cz c e-mail: hana.netrebska@fs.cvut.cz d e-mail: josef.adamec@fs.cvut.cz was considered and created for all 3 axis of Cartesian coordinate system, in which the geometry was created. It was the thickening of the mesh towards the wall and corners of the channel model. The density of the mesh elements was increased further in the longitudinal direction, i.e. downstream. This thickening was kept exactly to the middle of the central element (figure 1). The scheme of mesh generation was subsequently mirrored according to one of its plane, perpendicular to the flow direction. The total number of the mesh elements was around 4M. The areas for definition of boundary conditions were also defined within the mesh generation. These were mainly the interface between particular sections. This is an Open Access article distributed under the terms of the Creative Commons Attribution License 2.0, which permits unrestricted use, distri...

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Influence of Data Quality on Piv Measurement Accuracy

Cited by 8 publications

References 0 publications

Influence of the velocity vector base relocation to the center of mass of the interrogation area on PIV accuracy

Influence of the velocity vector base relocation to the center of mass of the interrogation area on PIV accuracy

Primary Peak Ratio Correlation to the Measurement Accuracy of Piv Method

Pulsatile flow analysis in a bend square channel by modal decomposition

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