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Journal ArticleDOI

Instantaneous pressure and material acceleration measurements using a four-exposure PIV system

Xiaofeng Liu, +1 more
- 03 May 2006 - 
- Vol. 41, Iss: 2, pp 227-240
TLDR
In this paper, a four-exposure PIV system is used for measuring the distribution of material acceleration by comparing the velocity of the same group of particles at different times and then integrating it to obtain the pressure distribution.
Abstract
This paper describes a non-intrusive technique for measuring the instantaneous spatial pressure distribution over a sample area in a flow field. A four-exposure PIV system is used for measuring the distribution of material acceleration by comparing the velocity of the same group of particles at different times and then integrating it to obtain the pressure distribution. Exposing both cameras to the same particle field at the same time and cross-correlating the images enables precision matching of the two fields of view. Application of local image deformation correction to velocity vectors measured by the two cameras reduces the error due to relative misalignment and image distortion to about 0.01 pixels in synthetic images. An omni-directional virtual boundary integration scheme is introduced to integrate the acceleration while minimizing the effect of the local random errors in acceleration. Further improvements are achieved by iterations to correct the pressure along the boundary. Typically 3–5 iterations are sufficient for reducing the incremental mean pressure change in each iteration to less than 0.1% of the dynamic pressure. Validation tests of the principles of the technique using synthetic images of rotating and stagnation point flows show that the standard deviation of the measured pressure from the exact value is about 1.0%. This system is used to measure the instantaneous pressure and acceleration distributions of a 2D cavity turbulent flow field and sample results are presented.

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Citations
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Journal ArticleDOI

Tomographic PIV: principles and practice

TL;DR: A survey of the major developments in 3D velocity field measurements using the tomographic particle image velocimetry (PIV) technique is given in this article, where the fundamental aspects of the technique are discussed beginning from hardware considerations for volume illumination, imaging systems, their configurations and system calibration.
Journal ArticleDOI

Particle Image Velocimetry for Complex and Turbulent Flows

TL;DR: Particle image velocimetry (PIV) has evolved to be the dominant method for velocity analysis in experimental fluid mechanics and has contributed to many advances in our understanding of turbulent and complex flows as mentioned in this paper.
Journal ArticleDOI

PIV-based pressure measurement

TL;DR: A review of the approach to extract pressure fields from flow velocity field data, typically obtained with particle image velocimetry (PIV), by combining the experimental data with the governing equations is presented in this article.
Journal ArticleDOI

PIV uncertainty quantification by image matching

TL;DR: Sciacchitano et al. as discussed by the authors presented a method to quantify the uncertainty of PIV data, i.e., the unknown actual error of the measured velocity field is estimated using the velocity field itself as input along with the original images.
Journal ArticleDOI

Instantaneous planar pressure determination from PIV in turbulent flow

TL;DR: In this paper, the authors deal with the determination of instantaneous planar pressure fields from velocity data obtained by particle image velocimetry (PIV) in turbulent flow and propose guidelines regarding the temporal and spatial resolution required.
References
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Journal ArticleDOI

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