2017
DOI: 10.1007/s10409-017-0646-y
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Characteristics of turbulence transport for momentum and heat in particle-laden turbulent vertical channel flows

Abstract: The dynamic and thermal performance of particleladen turbulent flow is investigated via direction numerical simulation combined with the Lagrangian point-particle tracking under the condition of two-way coupling, with a focus on the contributions of particle feedback effect to momentum and heat transfer of turbulence. We take into account the effects of particles on flow drag and Nusselt number and explore the possibility of drag reduction in conjunction with heat transfer enhancement in particle-laden turbule… Show more

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Cited by 17 publications
(14 citation statements)
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“…As a result, the droplets are accumulated along the shear layer, with their vertical velocity being positive. There are more droplets of r = 100 µm than those of r = 400 µm near the shear layer (Figure 3(f3)), indicating that small droplets follow the airflow better than large droplets, which is as expected and is consistent with the conclusion drawn from previous studies on the motion of solid particles in other types of flows [76,77]. Figure 4a shows the time history of the total number of droplets in the air, N, in Case A55.…”
Section: Resultssupporting
confidence: 78%
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“…As a result, the droplets are accumulated along the shear layer, with their vertical velocity being positive. There are more droplets of r = 100 µm than those of r = 400 µm near the shear layer (Figure 3(f3)), indicating that small droplets follow the airflow better than large droplets, which is as expected and is consistent with the conclusion drawn from previous studies on the motion of solid particles in other types of flows [76,77]. Figure 4a shows the time history of the total number of droplets in the air, N, in Case A55.…”
Section: Resultssupporting
confidence: 78%
“…For example, the results analysis in the present simulation is limited by the unsteadiness of wave breaking. We cannot perform time-averaging as has been done in many studies for other types of flows with simpler configurations [38][39][40]77] to define turbulence statistics. In the future, it is important to perform multiple runs with the same wave geometry and wind profile, but different instantaneous turbulence fluctuations to define turbulence statistics based on the ensemble-averaging over different runs.…”
Section: Discussionmentioning
confidence: 99%
“…Rayleigh-Bénard convection (RBC) is commonly used to study natural convection due to the simplicity of its configuration and the richness of its flow regimes. In this system, fluid is filled in a closed cell, heated on the bottom and cooled on the top, with adiabatic side no-slip wall [1,2,3]. The control parameters are the Rayleigh number Ra = gβ∆H 3 /(νκ), the Prandtl number, Pr = ν/κ, and the aspect ratio Γ = L/H, where ν is the kinematic viscosity, κ the thermal diffusivity, H the height of the sample, L its width, g the gravitational The boundary layer (BL) in RBC exhibits a transition from laminar to turbulent regime when Ra exceeds a critical value, Ra c .…”
Section: Introductionmentioning
confidence: 99%
“…As concerns turbulent mutiphase flows, numerical algorithms coupling the heat and mass transfer are often challenging. Hence, in the first attempts, researchers used DNS only for the hydraulic characteristics of the flow and modelled the energy or mass transport equation (Namburu et al, 2009;Chang et al, 2011;Bu et al, 2013;Liu et al, 2017). Among earlier studies, Avila and Cervantes (1995), used a Lagrangianstochastic-deterministic model (LSD) to show that high mass loadings of small particles increases the heat transfer rate, while at low mass loadings, the heat transfer rate decreases.…”
Section: Heat Transfermentioning
confidence: 99%