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Original Articles

Lattice Boltzmann Simulation of Falling Film Flow under Low Reynolds Number

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Pages 1528-1539 | Published online: 18 Sep 2017
 

ABSTRACT

In this paper, a new two-dimensional simulation model was developed for the falling film flow under low Reynolds number (below 20). The phase-field multiphase lattice Boltzmann model was developed to simulate the flow pattern of the two-phase falling film with high density ratio. The approaches to treating the liquid-gas interface with high density ratio (up to 775), surface tension, gravity, inlet and outlet open boundary conditions as well as solid-liquid interface considering contact angle were developed firstly, and then implemented in the model. The dynamic characteristics of the film flow, including the development of the liquid-gas interface and the film thickness, were simulated under the Reynolds numbers between 1.0 and 20. The results show that the film is fully laminar under low Reynolds numbers. The falling film flow model developed in this study lays the foundation for the study of heat and mass transfer in the falling film based liquid desiccant dehumidifier.

Acknowledgements

The research work presented in this paper is financially supported by a grant (ECS/533212) of the Research Grant Council (RGC) of the Hong Kong SAR. The support is gratefully acknowledged.

Nomenclature

C=

composition of liquid phase, dimensionless

Cs=

composition of liquid phase at the solid surface, dimensionless

c=

lattice speed, ms−1

cs=

lattice sound speed, ms−1

E0=

bulk energy density, J.m−3

e=

lattice discrete velocity, ms−1

f=

distribution function of density, kg.m−3

F=

force vector, N

g=

distribution function of pressure, Pa

g=

gravitational acceleration, ms−2

h=

distribution function of composition, dimensionless

hfilm=

film thickness, m

M=

mobility, dimensionless

NX, NY=

grid number, dimensionless

n=

unit vector normal to the boundary, dimensionless

p=

dynamic pressure, Pa

Re=

Reynolds number, dimensionless

S=

area, m−2

t=

time, s

t0=

viscous time, s

U=

initial velocity, ms−1

u=

local velocity, ms−1

um=

local velocity of fluid m, ms−1

V=

volume, m−3

Greek symbols

β=

constant related with bulk energy, J.m−3

Γ=

normalized equilibrium distribution function, dimensionless

δx=

lattice length, m

δt=

lattice time, s−1

θ=

contact angle, rad

κ=

constant related with surface energy, J.m−3

λ=

relaxation time, s

μ=

chemical potential, J.m−3

υ=

viscosity of the liquid, ms−2

ξ=

interface thickness, m

ρ=

density, kg.m−3

ρ*=

density ratio, dimensionless

ρH=

density of liquid, kg.m−3

ρL=

density of gas, kg.m−3

ρm˜=

local density of fluid m, kg.m−3

σ=

surface tension, N.m−1

τ=

relaxation factor, s−1

ϕ0, ϕ1=

surface energy density, J.m−2

Φb=

bulk energy, J

Φs=

surface energy, J

ω=

wetting potential, dimensionless

ωa=

weight factor, dimensionless

Subscripts

m=

type of fluid in multiphase flow

s=

solid surface

α=

discrete direction

α=

opposite direction of α

l=

liquid phase

Superscripts

CD=

central difference

eq=

equilibrium state

film=

liquid film

gas=

gas phase

liquid=

liquid phase

MD=

mixed difference

x, y, z=

coordinates components

Additional information

Notes on contributors

Tao Lu

Tao Lu is a Ph.D. candidate in Building Services Engineering of the Hong Kong Polytechnic University, Hong Kong. He received his bachelor's degree from Shanghai Jiao Tong University in 2014. His main research direction is the heat and mass transfer process in falling film using the Lattice Boltzmann Method and the falling film based liquid desiccant air conditioning.

Fu Xiao

Fu Xiao is an Associate Professor in Department of Building Services Engineering of the Hong Kong Polytechnic University (PolyU), Hong Kong. She received her Ph.D. degree in BSE in 2004 from PolyU. She is an active researcher in building energy efficiency and modelling and enhancement of heat and mass transfer in energy-related equipment in buildings.

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