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dx dc. D. J −= (1) where c is the concentration, J is the flux, and D is the diffusion coefficient. When the effect of

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MASS DIFFUSION In this section the mass transfer process is described. The Brownian diffusion of small particles and Fick's law are first discussed. This is followed by the presentation of a number of applications.

Brownian Diffusion Small particles suspended in a fluid undergo random translational motions due to molecular collisions. This phenomenon is referred to as the Brownian motion. The Brownian motion leads to diffusion of particles in accordance with Fick’s law. i.e.,

J = −D

dc dx

(1)

where c is the concentration, J is the flux, and D is the diffusion coefficient. When the effect of particle inertia is negligible, using (1) in the equation of conservation of mass for particles leads to

∂c + v ⋅ ∇c = D∇ 2 c ∂t

(2)

where v is the fluid velocity vector. The particle mass diffusivity is given by D=

kTC c 3πµd

(3)

where C c is the Cunningham correction given by (3) and k is the Boltzmann constant ( k = 1.38 × 10 −16 erg / K ). The diffusive may be restated as D=

τkT m

(4)

where m is the mass of the spherical particle and τ is its relaxation time.

d

( µm )

10-2 10-1 1 10

ME437/537

Table 8 – Particle mass diffusivity. D (cm 2 / s ) 5.24 × 10-4 6.82 × 10-6 2.74 × 10-7 2.38 × 10-8

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G. Ahmadi

The mean-square displacement for a Brownian particle is given as s 2 = 2Dt

(one-dim)

(5)

Brownian Motion of Rotation Aerosol particles may also rotate randomly due to the Brownian effects. The mean-square angle of rotation is given as

θ2 =

2kT t πµd 3

(6)

Distributions When the gas is in equilibrium, the aerosol particle will have the same average translational energy as molecules. Thus 1 3 m u 2 = kT , 2 2

(7)

and the root-mean-square particle velocity is given by

u 2 = 3kT / m

(8)

Under equilibrium, aerosol particles will have a Maxwellian distribution and their concentration in a gravitational field is given by C = C 0 exp{−

mg( x − x 0 ) } kT

(9)

Effect of Mass The diffusivity as given by (3) and (4) is independent of particle density, but heavy particles do not respond swiftly to the molecular impacts. A time dependent analysis leads to s 2 = 2Dt[1 − τ(1 − e − t / τ ) / t ]

(10)

where τ is the particle relaxation time. when t >> τ , (10) reduces to Equation (5).

ME437/537

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Aerosols Mean Free Path The apparent mean free path for aerosol particles λα is defined as the average distance that a particle moves before changing its direction by 90o. The average (absolute) velocity of an aerosol particle is 8kT / πm . From the definition of stop distance it follows that λ α ≈ τ 8kT / πm

(11)

λα becomes a minimum for an aerosol particle diameter of about 0.05 µ m . λα is of the

order of 10-6 cm for d < 5 µ.

Particle Diffusion to a Wall For a one-dimensional case, the diffusion equation given by (18) in the absence of a flow field becomes ∂c ∂ 2c =D 2 ∂t ∂y

(12)

For an initially uniform concentration of aerosols in the neighborhood of an absorbing wall, the initial and boundary conditions are: C( y,0) = C 0 and C (0, t ) = 0 . The solution to Equation (28) then becomes C( y, t ) = C0erf ( y / 4 Dt ) ,

(13)

where erf (ξ) =

ξ

2 2 e − ξ dξ , ∫ π 0

erf (0) = 0 , erf (∞) = 1

(14)

The variation of concentration profile with time are shown in Figure 1. (Note that y has the same unit as Dt .) The flux to the wall then is given by J = −D

∂c ∂x

= C0 y =0

D πt

(15)

where C 0 is the particles number concentration at the initial time.

ME437/537

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G. Ahmadi

1.0

tD=0.0025 tD=0.062

C/Co

0.8

tD=0.25 tD=1

0.6

tD=4

0.4 0.2 0.0 0

0.5

1

1.5

2

2.5

3

yx Figure 1. Variation of concentration profile with time.

The corresponding deposition velocity, which is defined as flux per unit concentration, then is given by uD =

J = C0

D D = πt δ c

(16)

Here δ c is the diffusion boundary layer thickness given as δ c = πDt

(17)

The corresponding diffusion force is defined as Fd = 3πµdu D / C c

(18)

The total number of particles that is deposited in an interval dt is given as

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G. Ahmadi

D dt πt

dN = Jdt = C 0

(19)

The total number of particles that are deposited per unit area in the time interval 0 to t may be obtained by integrating Equation (19). Thus, N = C0

4Dt . π

(20)

Tube Deposition Consider a constant velocity gas flow in a tube of length L and radius R. The residence time is t = L / u where u is the gas velocity. Assuming that the wall deposition process is similar to that of a uniform concentration near a wall, and using (20) it follows that C out − C in = − N

2RπL , πR 2 L

C out 4 = 1− C in π

DL . uR 2

N = C in

4DL , πu

(21)

or (22)

A detailed duct flow analysis shows C out DL . = 1 − 2.56φ 2 / 3 + 1.2φ + 0.177φ 4 / 3 , φ = C in uR 2

(23)

Diffusion Velocity The diffusion velocity is defined as UD =

J . C0

(24)

Similarly, a diffusion force may be defined as Fdiff = 3πµu d / C c

ME437/537

(25)

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Convective Diffusion to a Flat Plane Consider a laminar boundary layer flow over a flat plane as shown. equations of motion and mass diffusion are u

∂u ∂u ∂2u +v =ν 2 ∂x ∂y dy

(26)

∂u ∂v + =0 ∂x ∂y u

(27)

∂c ∂c ∂ 2c +v =D 2 ∂y ∂x ∂y

Co

The

(28)

Uo

Uo

Co

y δ

x

δc

Figure 2. Schematics of boundary layer flow over a flat plate. The boundary conditions are u=v=c=0 At y = 0 , As y → ∞ , u = U0 , c = c0

(29) (30)

Introducing similarity variable, η= y

U0 u , ψ = νU o x f ( η) , = f ' (η) , c = c(η) , U0 νx

(31)

Equations (26) – (28) reduce to

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ff ' '+2f ' ' ' = 0 ,

f (0) = f ' (0) = 0 , f ' (∞) = 1

(32)

c(0) = 0 , c(∞) = c 0

(33)

1 c"+ Sc fc' = 0 , 2

where the Schmidt number is defined as ν . D

Sc =

(34)

For a large Schmidt number, δ c

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