Stereoscopic Planar Laser-Induced Fluorescence Imaging at 500 kHz

Medford, Taylor; Danehy, Paul M.; Jones, Stephen B.; Jiang, Naibo; Webster, M.; Lempert, Walter R.; Miller, Joseph D.; Meyer, Terry E.

doi:10.2514/6.2011-985

Cited by 12 publications

(9 citation statements)

References 26 publications

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“…The computational domain is based on the wedge model used in the experiments performed in NASA Langley Research Center's 31 in. Mach 10 facility [7][8][9]42,43]. Figure 3 shows a schematic of the wind tunnel facility.…”

Section: Numerical Setupmentioning

confidence: 99%

Investigation of Gas Seeding for Planar Laser-Induced Fluorescence in Hypersonic Boundary Layers

Arisman¹,

Johansen²,

Bathel³

et al. 2016

AIAA Journal

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Section: Numerical Setupmentioning

confidence: 99%

Investigation of Gas Seeding for Planar Laser-Induced Fluorescence in Hypersonic Boundary Layers

Arisman¹,

Johansen²,

Bathel³

et al. 2016

AIAA Journal

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“…This approach uses a relatively thick laser sheet (instead of a thin sheet as in regular PLIF) to illuminate the target flow and capture the LIF images from two different view angles. Spatial information in the depth direction can then be inferred via stereoscopic algorithms [4,21]. Since no scanning is required in this approach, the temporal resolution of this approach is only limited by the speed of the laser and the camera, and measurements at 500 kHz have been reported [4].…”

Section: Introductionmentioning

confidence: 99%

“…LIF-based diagnostics have been demonstrated as a powerful and versatile tool for flow visualization and measurements. Many key flow parameters, including species concentration [3,4], temperature [5], and mixture fraction [6][7][8], can be inferred from LIF measurements. However, past work has been largely limited to measurement at a point, along a line, or across a two-dimensional (2D) plane [9][10][11], while turbulent flows are inherently 3D in space.…”

Section: Introductionmentioning

confidence: 99%

“…Spatial information in the depth direction can then be inferred via stereoscopic algorithms [4,21]. Since no scanning is required in this approach, the temporal resolution of this approach is only limited by the speed of the laser and the camera, and measurements at 500 kHz have been reported [4]. However, the drawback is that it is difficult to extract spatial information in the depth direction and the spatial resolution in the width and height directions is degraded due to the use of a thick illumination sheet [21].…”

Section: Introductionmentioning

confidence: 99%

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Single-shot volumetric laser induced fluorescence (VLIF) measurements in turbulent flows seeded with iodine

Wu¹,

Xu²,

Lei³

et al. 2015

Opt. Express

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This work reports the experimental demonstration of single-shot visualization of turbulent flows in all three spatial dimensions (3D) based on volumetric laser induced fluorescence (VLIF). The measurements were performed based on the LIF signal of iodine (I 2 ) vapor seeded in the flow. In contrast to established planar LIF (PLIF) technique, the VLIF technique excited the seeded I 2 vapor volumetrically by a thick laser slab. The volumetric LIF signals emitted were then simultaneously collected by a total of five cameras from five different orientations, based on which a 3D tomographic reconstruction was performed to obtain the 3D distribution of the I 2 vapor in the target flow. Single-shot measurements (with a measurement duration of a few ns) were demonstrated in a 50 mm × 50 mm × 50 mm volume with a nominal spatial resolution of 0.42 mm and an actual resolution of ~0.71 mm in all three dimensions (corresponding to a total of 120 × 120 × 120 voxels). 249-256 (1996). 18. M. Zhang, J. Wang, W. Jin, Z. Huang, H. Kobayashi, and L. Ma, "Estimation of 3D flame surface density and global fuel consumption rate from 2D PLIF images of turbulent premixed flame," Combust.

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“…Recent PLIF measurements using a NO seeding strategy have been used to study the transition-to-turbulence process in hypersonic boundary-layer flows at the NASA Langley Research Center [7][8][9][10]. These measurements were motivated by a need to better understand the underlying physical mechanisms responsible for transition.…”

mentioning

confidence: 99%

Investigation of Gas Seeding for Planar Laser-Induced Fluorescence in Hypersonic Boundary Layers

Arisman

Johansen²,

Bathel

et al. 2015

AIAA Journal

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Numerical simulations of the gas-seeding strategies required for planar laser-induced fluorescence in a Mach 10 (approximately Mach 8.2 postshock) airflow were performed. The work was performed to understand and quantify the adverse effects associated with gas seeding and to assess various types of seed gas that could potentially be used in future experiments. In prior experiments, NO and NO2 were injected through a slot near the leading edge of a flatplate wedge model used in NASA Langley Research Center's 31 in. Mach 10 air tunnel facility. In this paper, nitric oxide, krypton, and iodine gases were simulated at various injection rates. Simulations showing the deflection of the velocity boundary layer for each of the cases are presented. Streamwise distributions of velocity and concentration boundary-layer thicknesses, as well as vertical distributions of velocity, temperature, and mass distributions, are presented for each of the cases. A comparison between simulated streamwise velocity profiles and experimentally obtained molecular tagging velocimetry profiles using a nitric oxide seeding strategy is performed to verify the influence of such a strategy on the boundary layer. The relative merits of the different seeding strategies are discussed. The results from a custom solver based on OpenFOAM version 2.2.1 are compared against results obtained from ANSYS® Fluent version 6.3. Nomenclature c p = specific heat at constant pressure, kJ∕kg∕K D i;j = binary diffusion coefficient, m 2 ∕s D i;m = diffusion coefficient of species i into the mixture, m 2 ∕s h i = sensible enthalpy of species i, kJ∕kg h s = sensible enthalpy, kJ∕kg I = identity matrix J i = diffusion flux of species i, kg∕m 2 ∕s Kn = Knudsen number k = thermal conductivity, W∕m∕K Ma = Mach number M i = molar mass of species i, kg∕kmol P = pressure, Pa P inf = freestream pressure, Pa P stag = stagnation pressure, Pa P w = wall pressure, Pa R = ideal gas constant, J∕K∕mol Re = Reynolds number R i = mass source of species i S h = enthalpy source, kJ∕s∕m 3 T = temperature, K T stag = stagnation temperature, K t = time, s U = velocity, m∕s U e = boundary-layer edge velocity, m∕s W z = wedge width, mm w c = species mass fraction of interest x = distance from leading edge, m x slot = length of seed slot, mm Y i = mass fraction of species i α = thermal conductivity divided by specific heat at constant pressure, kg∕m∕s β = oblique shock angle δ = boundary-layer thickness, m δ c = concentration boundary-layer thickness, m θ plate = plate angle of attack μ = viscosity, kg∕m∕s ρ = density, kg∕m 3 σ i;j = average species collision diameter, m τ = viscous stress tensor, Pa Ω d = diffusion collision integral Ω v = viscous collision integral

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Stereoscopic Planar Laser-Induced Fluorescence Imaging at 500 kHz

Cited by 12 publications

References 26 publications

Investigation of Gas Seeding for Planar Laser-Induced Fluorescence in Hypersonic Boundary Layers

Investigation of Gas Seeding for Planar Laser-Induced Fluorescence in Hypersonic Boundary Layers

Single-shot volumetric laser induced fluorescence (VLIF) measurements in turbulent flows seeded with iodine

Investigation of Gas Seeding for Planar Laser-Induced Fluorescence in Hypersonic Boundary Layers

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