Parametric Characterization for Particle-Shadow Velocimetry (PSV)

Goss, L. P.; Estevadeordal, Jordi

doi:10.2514/6.2006-2808

Cited by 8 publications

(11 citation statements)

References 5 publications

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“…This technique can be used with single color LEDs and a gray-scale camera however; the temporal dynamic range is increased with the use of multi-color LEDs and a color camera. Multicolor PSV (CPSV) was introduced by Goss et al [1, 2]. CPSV uses the different color components of a color camera sensor as separate recording channels.…”

Section: Multicolor Particle Shadow Velocimetry and Accelerometrymentioning

confidence: 99%

Multicolor particle shadow accelerometry

McPhail

Krane

Fontaine

et al. 2015

Meas. Sci. Technol.

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This paper describes the extension of multicolor particle shadow velocimetry (CPSV) to the measurement of local acceleration in an Eulerian frame of reference. A validation experiment was conducted on a pendulous disk undergoing unsteady rigid body rotation. Angular velocity and acceleration profiles by CPSA are presented along with a comparison to recordings by an accelerometer mounted on the pendulum. CPSA is also demonstrated in a fully-developed turbulent pipe flow. Profiles of standard deviation of the local acceleration in the near wall region (0< y+ <75) are compared to similar measurements by Christensen and Adrian. A favorable comparison is found between CPSA and particle image accelerometry (PIA). The effect of acceleration time delay, or the time between two velocity estimates, on local acceleration estimates is discussed.

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Section: Multicolor Particle Shadow Velocimetry and Accelerometrymentioning

confidence: 99%

Multicolor particle shadow accelerometry

McPhail

Krane

Fontaine

et al. 2015

Meas. Sci. Technol.

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“…The method of PSV [9][10][11] enables particle visualization and direct measurements of such two-phase flow characteristics as spatial distributions of liquid droplet diameters, number densities, and velocities in different points of the flow under study. These data are employed for evaluation of liquid fuel atomization quality, as well as for investigations of the influence of fuel physical properties, of peculiarities of flame tube head design, and of atomization methods on the mixture formation process.…”

Section: Introductionmentioning

confidence: 99%

Laser diagnostics of atomization and combustion of kerosene in a model combustion chamber

Chelebyan¹,

Vasiliev²,

Sviridenkov³

et al. 2020

Laser Phys.

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The experimental results are presented of implementation of a built-up laser-based diagnostic system at a test rig for investigations of the flame tube heads of aircraft gas turbine engines, both existing and being under development. At this test rig the processes of liquid fuel atomization and mixing with air by flame tube heads of model combustion chambers equipped with newly-developed atomizers, and of combustion of the fuel–air mixture formed in the flow have been studied. These studies enable development and optimization of advanced low-emission engines satisfying the established environmental requirements for the levels of polluting species in the exhaust gases. By using the particle shadow velocimetry technique with a pair of 10 μs delayed 5 ns laser pulses the transverse spatial distributions of average kerosene droplet dimensions, the axial components of their average velocity, and of the average volume flux of the fuel have been measured in the mixture flow axial cross-section. By employing coherent anti-Stokes Raman scattering with 10 ns pump laser pulses at 10 Hz repetition rate during combustion of the produced kerosene–air mixture the statistical characteristics of local ‘instantaneous’ gas temperature fluctuations in the flame, slow variations of these temperatures in time during the combustion process, and transverse distributions of average temperatures in the flame axial cross-section have been measured.

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“…This paper addresses treatment of errors that can arise when using multicolor illumination in particle shadow velocimetry (PSV) [1,2]. Multicolor PSV (CPSV) is a flow diagnostic technique offering improved temporal resolution and dynamic range, at low cost.…”

Section: Introductionmentioning

confidence: 99%

“…Higher magnification must be used with CPSV, compared to PIV, to isolate a narrow depth of field and to properly resolve particle shadows. As a result, to obtain large enough particle images for PIV displacement estimation, PSV must use either larger particles, or smaller fields of view, than conventional PIV [1,2]. Meinhart et al [17] gives further discussion of the depth of field issues with volumetric illumination.…”

Section: Introductionmentioning

confidence: 99%

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Correcting for color crosstalk and chromatic aberration in multicolor particle shadow velocimetry

McPhail

Fontaine

Krane

et al. 2015

Meas. Sci. Technol.

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Color crosstalk and chromatic aberration can bias estimates of fluid velocity measured by color particle shadow velocimetry (CPSV), using multicolor illumination and a color camera. This article describes corrections to remove these bias errors, and their evaluation. Color crosstalk removal is demonstrated with linear unmixing. It is also shown that chromatic aberrations may be removed using either scale calibration, or by processing an image illuminated by all colors simultaneously. CPSV measurements of a fully developed turbulent pipe flow of glycerin were conducted. Corrected velocity statistics from these measurements were compared to both single-color PSV and LDV measurements and showed excellent agreement to fourth-order, to well into the viscous sublayer. Recommendations for practical assessment and correction of color aberration and color crosstalk are discussed.

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Parametric Characterization for Particle-Shadow Velocimetry (PSV)

Cited by 8 publications

References 5 publications

Multicolor particle shadow accelerometry

Multicolor particle shadow accelerometry

Laser diagnostics of atomization and combustion of kerosene in a model combustion chamber

Correcting for color crosstalk and chromatic aberration in multicolor particle shadow velocimetry

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