An experimental and numerical study of shock interaction with a gas column seeded with droplets

Anderson, Michael J.; Vorobieff, Peter; Truman, C. Randall; Corbin, Clint; Kuehner, G.; Wayne, Patrick; Conroy, Joseph; White, Ross; Kumar, Sanjay

doi:10.1007/s00193-015-0555-6

Cited by 25 publications

(20 citation statements)

References 32 publications

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“…The late-time results were roughly consistent with K41 prediction of 2/3 power-law scaling for the second-order longitudinal velocity structure function. Sadly, at higher Mach numbers, tracer particles used for PIV present an increasing problem because they don't follow the gas flow [21] and interfere with flow physics [18]. Here we use a cleaner diagnostic (PLIF), however, it does not easily yield results in terms of velocity, because it effectively shows cross- diffusive passive scalar and even of a reacting component in the flow [22], and moreover, has an equivalent representation in terms of the second-order structure function of the scalar (under the same conditions that ensure the equivalence of the -5/3 and 2/3 laws for velocity spectra and structure functions [22]).…”

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confidence: 99%

Shock-driven transition to turbulence: Emergence of power-law scaling

et al. 2017

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We consider two cases of interaction between a planar shock and a cylindrical density interface.In the first case (planar normal shock), the axis of the gas cylinder is parallel to the shock front, and baroclinic vorticity deposited by the shock is predominantly two-dimensional (directed along the axis of the cylinder). In the second case, the cylinder is tilted, resulting in an oblique shock interaction, and a fully three-dimensional shock-induced vorticity field. The statistical properties of the flow for both cases are analyzed based on images from two orthogonal visualization planes, using structure functions of the intensity maps of fluorescent tracer pre-mixed with the heavy gas.At later times, these structure functions exhibit power-law-like behavior over a considerable range of scales. Manifestation of this behavior is remarkably consistent in terms of dimensionless time τ defined based on Richtmyer's linear theory within the range of Mach numbers from 1.1 to 2.0 and the range of gas cylinder tilt angles with respect to the plane of the shock front (0 to 30 • ).

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confidence: 99%

Shock-driven transition to turbulence: Emergence of power-law scaling

et al. 2017

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“…Figure 1 shows the schematic (top) and the actual view of the experimental arrangement. In the top view, the particle-curtain setup is shown mounted on the UNM shock tube, which is described in detail elsewhere [8]. The arrangement is comprised of a modular extruded-metal frame used to mount the components, the horizontal element of which is the hopper rail.…”

Section: Methodsmentioning

confidence: 99%

“…The analogue of RMI [4] is known as shock-driven multiphase instability (SDMI) [6], [7]. As in the case of classical RMI, a dimensionless number similar to the Atwood number (eqn (1)) plays a key role in SDMI: the multiphase Atwood number [8] Here, the subscript s characterizes the volume-averaged properties of the seeded flow (embedding phase together with embedded phase), and the subscript u the properties of the unseeded embedding phase.…”

Section: Introductionmentioning

confidence: 99%

“…Two limit cases can be considered: A m →0 and A m →1. Presently, the former case is somewhat better studied [4], [8]- [10], with investigations mostly focusing on SDMI. For A m →0, gaseous embedding phase, and liquid or solid embedded phase (small micron or submicron-sized droplets or particles), it was shown that the SDMI growth can be (at least in first order) approximated with expressions originally derived for RMI, replacing A (eqn (1)) with A m (eqn.…”

Section: Introductionmentioning

confidence: 99%

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Formation of a falling particle curtain

Vorobieff¹,

Wayne²,

Lingampally³

et al. 2020

Int. J. CMEM

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Falling particle curtains are important in many engineering applications, including receivers for concentrating solar power facilities. During the formation of such a curtain, we observe a multiphase analog of Rayleigh-Taylor instability (RTI). It was originally described in 2011 for a situation when air sparsely seeded with glycol droplets was placed above a volume of unseeded air, producing an unstably stratified average density distribution that was characterized by an effective Atwood number 0.03. In that case, the evolution of the instability was indistinguishable from single-phase RTI with the same Atwood number, as the presence of the droplets largely acted as an additional contribution to the mean density of the gaseous medium. Here, we present experiments where the volume (and mass) fraction of the seeding particles in gas is considerably higher, and the gravity-driven flow is dominated by the particle movement. In this case, the evolution of the observed instability appears significantly different.

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“…A density interface may also be formed if a cloud of solid or liquid particles is dispersed within a gas. Vorobieff et al [21] and Anderson et al [22] have clarified the relationship between SDMI and RMI with experimental and computational studies. Their experiments examined the shock interaction with a gas column seeded with droplets.…”

Section: Shock-driven Multiphase Instabilitymentioning

confidence: 99%

Heterogeneous/particle-laden blast waves

Frost

2018

Shock Waves

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An experimental and numerical study of shock interaction with a gas column seeded with droplets

Cited by 25 publications

References 32 publications

Shock-driven transition to turbulence: Emergence of power-law scaling

Shock-driven transition to turbulence: Emergence of power-law scaling

Formation of a falling particle curtain

Heterogeneous/particle-laden blast waves

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