Numerical simulation and experimental investigation on spray cooling in the non-boiling region

Liu, Hong; Cai, Chang; Yan, Yanan; Jia, Ming; Yin, Baozhen

doi:10.1007/s00231-018-2402-7

Cited by 41 publications

(10 citation statements)

References 46 publications

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“…(1995) , can give an acceptable accuracy with a relatively low computational cost ( Pereira et al., 2016 ). Such method has been applied to various applications such as incompressible turbulent simulation ( Silvis et al., 2017 ), water atomization process ( Liu et al., 2018 ), pollutant particle control ( Yin et al., 2019 ), etc. Therefore, it is adopted in this paper to describe the flow pattern within the ward.…”

Section: Mathematical Formulationmentioning

confidence: 99%

“…Numerical study in this paper is accomplished by the software of Ansys-Fluent as similar numerical investigation on the ventilation system ( Zhou et al., 2020 ), indoor pollutant control ( Milner et al., 2011 ), and sprayed droplet flow process ( Liu et al., 2018 ), flow dynamics in power system ( Li et al., 2020a ) etc. has been successfully carried out by it.…”

Section: Computational Modelmentioning

confidence: 99%

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An air distribution optimization of hospital wards for minimizing cross-infection

Wang

Cao

Chen

2021

Journal of Cleaner Production

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Currently, the “2019-CoV-2” has been raging across the world for months, causing massive death, huge panic, chaos, and immeasurable economic loss. Such emerging epidemic viruses come again and again over years, leading to similar destructive consequences. Air-borne transmission among humans is the main reason for the rapid spreading of the virus. Blocking the air-borne transmission should be a significant measure to suppress the spreading of the pandemic. Considering the hospital is the most probable place to occur massive cross-infection among patients as emerging virus usually comes in a disguised way, an air distribution optimization of a general three-bed hospital ward in China is carried out in this paper. Using the Eulerian-Lagrangian method, sneeze process from patients who are assumed to be the virus carrier, which is responsible for a common event to trigger cross-infection, is simulated. The trajectory of the released toxic particle and the probability of approaching others in the same ward are calculated. Two evaluation parameter, total maximum time (TMT) and overall particle concentration (OPC) to reflect the particle mobility and probability to cause cross-infection respectively, are developed to evaluate the proposed ten air distributions in this paper. A relatively optimized air distribution proposal with the lowest TMT and OPC is distinguished through a three-stage analysis. Results show that a bottom-in and top-out air distribution proposal is recommended to minimize cross-infections.

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Section: Mathematical Formulationmentioning

confidence: 99%

Section: Computational Modelmentioning

confidence: 99%

An air distribution optimization of hospital wards for minimizing cross-infection

Wang

Cao

Chen

2021

Journal of Cleaner Production

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“…Previous studies have shown that except for the gravity force and drag force; the influence of other forces could be ignored in the spray cooling analysis. So the motion equation of one droplet can be expressed as 35 :…”

Section: Discrete Phase Modelmentioning

confidence: 99%

\frac{d {\overset{true\to}{v}}_{d}}{dt} goodbreak= {\overset{true\to}{F}}_{D} goodbreak+ {\overset{true\to}{F}}_{g}

where

{\overset{true\to}{v}}_{d}

(m·s −1 ) represents the velocity vector of the droplet,

{\overset{true\to}{F}}_{D}

(kg·m·s −2 ) represents the drag force, and

{\overset{true\to}{F}}_{g}

(kg·m·s −2 ) represents the gravitation force acting on the droplet under the Lagrange framework.

{\overset{true\to}{F}}_{D} = \frac{18 μ_{a}}{ρ_{d} d_{d}^{2}} \frac{C_{D} {Re}_{d}}{24} {\overset{true\to}{v}}_{d}

{\overset{true\to}{F}}_{g} goodbreak= \frac{\overset{g}{true} ((), ρ_{d} goodbreak- ρ_{a})}{ρ_{normald}}

where

ρ_{a}

(kg·m −3 ) and

μ_{a}

(m·Pa·s) represent the density and viscosity of the continuous phase,

d_{d}

(m) and

ρ_{d}

(kg·m −3 ) represent the diameter and density of the droplet,

C_{D}

represents the drag force coefficient, and

\overset{g}{true}

(m·s −2 ) represents the gravitational acceleration. The particle Reynolds number is related to the relative velocity between the droplet and the air, which is evaluated as:…”

Section: Governing Equations and Modelsmentioning

confidence: 99%

Investigation on performance of battery thermal management system using spray cooling

Fan

Wang

Xie

et al. 2022

Intl J of Energy Research

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The thermal management system has essential effects on the performance, life, and consistency of lithium-ion batteries. Compared with commonly used cooling methods, spray cooling has excellent performance and is now widely used in electronic equipment, metal processing, laser surgery, and other fields.However, there are few applications of spray cooling in the battery thermal management systems (BTMSs). With the increase of the charge and discharge speed and people's rising attention to the thermal runaway accidents of electric

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“…The steady state Reynolds-averaged Navier-Stokes equations for mass, momentum, energy, and species transport (water droplet to water vapor) are solved for air, whereas only the energy equation is required for steel slab to account for heat conduction, convection, and radiation. These conservation equations can be expressed in the following general form (Mundo et al, 1997;Liu et al, 2018):…”

Section: Continuous Phasementioning

confidence: 99%

Numerical Development of Heat Transfer Coefficient Correlation for Spray Cooling in Continuous Casting

Silaen

Zhou

2020

Front. Mater.

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The desire to remain competitive and continuously produce high quality and high strength steel at the maximum production rate in continuous casting requires dynamic control over the spray cooling rate. Efficient and uniform heat removal without cracking or deforming the slab during spray cooling is critical. The challenge is to obtain accurate Heat Transfer Coefficient (HTC) on the slab surface as boundary condition for solidification calculations. Experiment based HTC correlations are limited to handful operating conditions and they might fail when changes occur. The current study presents a numerical model for spray cooling featuring the simulation of atomization and droplet impingement heat transfer in continuous casting. With the aid of high-performance computer, parametric studies were performed and the results were converted into mathematically simple HTC correlations as a function of essential operating parameters. Finally, a Graphic User Interface (GUI) was developed to facilitate future applications of the correlations. The HTC prediction is stored in the versatile comma-separated values (csv) format and it can be directly applied to solidification calculations. The proposed numerical methodology should benefit the steel industry by expediting the development process of HTC correlations and can further improve the accuracy of the existing casting control systems.

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Numerical simulation and experimental investigation on spray cooling in the non-boiling region

Cited by 41 publications

References 46 publications

An air distribution optimization of hospital wards for minimizing cross-infection

An air distribution optimization of hospital wards for minimizing cross-infection

Investigation on performance of battery thermal management system using spray cooling

Numerical Development of Heat Transfer Coefficient Correlation for Spray Cooling in Continuous Casting

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