Group modeling of impacting spray dynamics

Zhou, Qian; Yao, Shi‐Chune

doi:10.1016/0017-9310(92)90013-i

Cited by 23 publications

(13 citation statements)

References 11 publications

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“…Zhou and Yao [1] developed a group model employing the Lagrangian approach and found important information about droplet diameter effects, droplet trajectories, impact velocities, and the impact angles of spray dynamics with significantly fewer droplet group numbers, resulting in a significant reduction in computational time. Chigier [2] developed a systematic characterization method using laser diffraction to measure particle size, velocity and number density, as well as flux of sprays.…”

Section: Introductionmentioning

confidence: 99%

Evaporative spray cooling of plain and microporous coated surfaces

Kim

You

Choi

2004

International Journal of Heat and Mass Transfer

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Section: Introductionmentioning

confidence: 99%

Evaporative spray cooling of plain and microporous coated surfaces

Kim

You

Choi

2004

International Journal of Heat and Mass Transfer

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“…This particle transport model employs an ensemble of parcels of particles to represent the evolution of the particle location, velocity, size, and temperature distribution. [9][10][11][12][13] There is a stochastic component to the parcel evolution that acts to model particle dispersion due to unresolved turbulence. [10,11] Additional dispersion of particles within a single parcel is modeled as in Zhou and Yao.…”

Section: Simulationsmentioning

confidence: 99%

“…The fact that the parcels have finite extent allows a significantly smaller number of parcels to adequately represent the particle field distribution. [12] Properties of particles, including their size, temperature, composition, and thermal properties like specific heat, density, drag coefficients, etc., are associated with parcels. Particles are subject to transport by the mean flow and by turbulent fluctuations.…”

Section: Simulationsmentioning

confidence: 99%

“…[10,11] Additional dispersion of particles within a single parcel is modeled as in Zhou and Yao. [12] The overall particle gas-phase approach is similar to the approach used in the popular internal combustion engine simulation code, KIVA. [14,15] The model uses parcels to represent a large number of individual particles, typically a billion individual particles; these parcels are transported according to calculated force balances on individual particles.…”

Section: Simulationsmentioning

confidence: 99%

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A Modeling Investigation of Suppressant Distribution from a Prototype Solid-Propellant Gas-Generator Suppression System into a Simulated Aircraft Cargo Bay

et al. 2007

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One new technology for fire suppressant distribution in totalflooding applications is the solid-propellant gas-generator (SPGG) technology. This article presents experimental and modeling studies of one such prototype system in order to better understand observations in the testing of this system. This particular SPGG system generates fine particles that act to suppress any fire in conjunction with inert gases also generated in the SPGG system. Initial conditions for the simulations are obtained from the available measurements of the prototype system. The modeling provides key information related to the distribution of the particles and their potential effectiveness as a fire suppressant. The primary variable in the SPGG design as identified in the initial measurements, also presented here, was the particle size, with typical particle sizes being measured at 2 and 15 mm. The key modeling result is that there is a tradeoff between the most uniform distribution of particles and the available surface-to-volume ratio for chemical suppression. Information is also provided regarding the thermal dissipation from the SPGG system.

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“…The effects of unresolved turbulent motions on droplet dispersion within a parcel is based on the group modeling concept of Zhou and Yao [22]. In this model, the sub-parcel distribution of droplets within a parcel is assumed to have a Gaussian distribution as shown in Fig.…”

Section: Sub-parcel Turbulence Modelmentioning

confidence: 99%

A Dilute Spray Model for Fire Simulations: Formulation, Usage and Benchmark Problems

DesJardin¹,

Gritzo²

2002

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The focus of this work is to develop a two-phase spray model for application to unsteady fire simulation for the dispersion of dilute liquid fuel or fire suppressant sprays. The model is based on a stochastic separated flow (SSF) approach for which droplet transport equations are integrated in time to account for mass, momentum and energy transfer to the liquid phase. Turbulence models for parcel and sub-parcel droplet dispersion, spray breakup and spray collision are also developed and implemented. Two-way coupling between the liquid spray and the gas phase is accomplished through a numerical sub-cycling procedure. A strategy plan for spray model verification and validation is summarized and results presented for selected cases. The problems examined thus far indicate that the approach provides a robust and accurate means to solve dispersed phase spray transport problems for application to fire phenomena.

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Group modeling of impacting spray dynamics

Cited by 23 publications

References 11 publications

Evaporative spray cooling of plain and microporous coated surfaces

Evaporative spray cooling of plain and microporous coated surfaces

A Modeling Investigation of Suppressant Distribution from a Prototype Solid-Propellant Gas-Generator Suppression System into a Simulated Aircraft Cargo Bay

A Dilute Spray Model for Fire Simulations: Formulation, Usage and Benchmark Problems

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