Tackling turbulence with Holographic Particle Image Velocimetry (HPIV)

Meng, Hui

doi:10.2514/6.1999-3755

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…Field methods yield the flow properties along the wall within an area. Some of the methods are oil-film interferometry [6], pressure-sensitive paint velocimetry [7], the paint erosion method, laser photochromic velocimetry [8], particle image velocimetry (PIV) [9], three-dimensional scanning PIV [10], holographic PIV [11], laser light sheet tomography [12], and the shear-sensitive liquid-crystal method [13,14].…”

Section: Introductionmentioning

confidence: 99%

Particle image velocimetry of a flow at a vaulted wall

Kertzscher

Berthe

Goubergrits

et al. 2008

Proc Inst Mech Eng H

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The assessment of flow along a vaulted wall (with two main finite radii of curvature) is of general interest; in biofluid mechanics, it is of special interest. Unlike the geometry of flows in engineering, flow geometry in nature is often determined by vaulted walls. Specifically the flow adjacent to the wall of blood vessels is particularly interesting since this is where either thrombi are formed or atherosclerosis develops. Current measurement methods have problems assessing the flow along vaulted walls. In contrast with conventional particle image velocimetry (PIV), this new method, called wall PIV, allows the investigation of a flow adjacent to transparent flexible surfaces with two finite radii of curvature. Using an optical method which allows the observation of particles up to a predefined depth enables the visualization solely of the boundary layer flow. This is accomplished by adding a specific dye to the fluid which absorbs the monochromatic light used to illuminate the region of observation. The obtained images can be analysed with the methods of conventional PIV and result in a vector field of the velocities along the wall. With wall PIV, the steady flow adjacent to the vaulted wall of a blood pump was investigated and the resulting velocity field as well as the velocity fluctuations were assessed.

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Section: Introductionmentioning

confidence: 99%

Particle image velocimetry of a flow at a vaulted wall

Kertzscher

Berthe

Goubergrits

et al. 2008

Proc Inst Mech Eng H

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“…et another volumetric technique, in which holographic images of particles in the flow are used to create the three-dimensional 2 Professorof Aerospace Engineering; Head, Laboratory for Turbulence & velocity field throughout a volume. Meng( 1999) used thistech-Combustion (LTC); AIAA Associate Fellow.…”

Section: Introductionmentioning

confidence: 99%

Highly-resolved three-dimensional velocity measurements via dual-plane stereo particle image velocimetry (DSPIV) in turbulent flows

Mullin¹,

Dahm²

2002

40th AIAA Aerospace Sciences Meeting &Amp; Exhibit

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A frequency-based dual-plane stereoscopic particle image velocimetry (DSPIV) technique is presented that permits fully-resolved simultaneous measurement of all nine components of the instantaneous velocity gradient tensor field Vu(x,f) at the small scales of a turbulent flow. The technique is based on two essentially independent stereo PIV systems that provide three-component velocity measurements in two differentially-spaced light sheets of different colors, in this case 532 nm and 635 nm. Differentiation of the resulting velocity components within each plane and between the two planes yields all nine velocity gradient tensor dufiXj. Spatial scales relevant to the flow and the spatial resolution achievable with such measurements are discussed. Control of the light sheet thickness, separation, and parallelism over the field-of-view of the PIV cameras are essential for the technique. Methods to accurately measure and quantify these issues are presented, along with results for the present DSPIV configuration. A calibration method, error analysis, and system performance study using synthetic PIV data characterizes the accuracy of the DSPIV technique. Preliminary results show encouraging velocity vector fields in the two differentially-spaced data planes. The resulting velocity gradient field Vu(x,f) provides all three components of the vorticity vector field CO (x, t) and all six components of the strain rate tensor field e (x, t). These in turn permit access to fields of central relevance to the turbulence dynamics, including the kinetic energy dissipation rate field 2v e: e (x, t\ the enstrophy field co: 0) (x, t\ and the enstrophy production rate field Q)-e

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Tackling turbulence with Holographic Particle Image Velocimetry (HPIV)

Cited by 2 publications

References 25 publications

Particle image velocimetry of a flow at a vaulted wall

Particle image velocimetry of a flow at a vaulted wall

Highly-resolved three-dimensional velocity measurements via dual-plane stereo particle image velocimetry (DSPIV) in turbulent flows

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