1. Diffusion in Gas

2. DIFFUSION: DEFINITIONS
Diffusion is a process of mass transport that involves the atomic or molecular motion.
In the simplest form, the diffusion can be defined as the random walk of an ensemble of particles from regions of high concentration to regions of lower concentration

3. Diffusion: Driving Force
In each diffusion process (heat flow, for example, is also a diffusion process ),
the flux (of mater, heat, electricity, etc.) follows the general relation:
Flux = (Conductivity) x (Driving Force)
In the case of atomic or molecular diffusion,
the “conductivity” is referred to as the
diffusivity or the diffusion constant, and is
represented by the symbol D, which reflects the
mobility of the diffusing species in the given
environment. Accordingly one can assume larger
values in gases, smaller ones in liquids, and
extremely small ones in solids.
The “driving force” for many types of diffusion
is the existence of a concentration gradient.
The term “gradient” describes the variation of
a given property as a function of distance in the
specified direction.

4. MODELING DIFFUSION: FLUX
• Diffusion Flux (J) defines the mass transfer rate:
• Directional Quantity
• Flux can be measured for:
--vacancies
--host (A) atoms
--impurity (B) atoms

5. STEADY-STATE DIFFUSION (Fick’s First Law)
SSD takes place at constant rate. It means that throughout the
system dC/dx=const and dC/dt=0
DC/ Dx dC/dx DC
- Fick’s first law Dx
The diffusion flux is proportional
to the existing concentration gradient

6. FIRST FICK’s LAW ey J y D=D0exp(-Qd/RT) J x J z ex ez
where D is the diffusion constant or diffusivity [m2/s] and
C is a concentration [kg/m3] ey J y
D=D0exp(-Qd/RT) J x
here Q is the activation energy for the process: [J/mol];
Do is temperature-independent pre-exponential
constant: [m2/s] J z ex ez

7. NONSTEADY-STATE DIFFUSION
• Concentration profile, C(x), changes with time: dC/dt0.
Example: diffusion from a finite volume through a membrane into a finite volume.
The pressures in the reservoirs involved change with time as does,
consequently, the pressure gradient across the membrane.

8. FICK’s SECOND LAW Consider a volume element (between x and
x+dx of unit cross section) in a diffusion system.
The flux of a given material into a volume
element (Jx) minus the flux out of the element
volume (Jx+dx) equals the rate of material
accumulation in the volume: x
Using a Taylor series we can expand Jx+dx:
Accordingly, as dx0 and using
Fick’s First Law:
And if D does not vary with x we have
The formulation of Fick’s Second Law:

9. EX: NON STEADY STATE DIFFUSION
• Copper diffuses into a semi-infinite bar of aluminum.
Boundary conditions:
For t=0, C=C0 at 0  x  
For t>0, C=Cs at x=0
C=C0 at x = 
• General solution: C ( x , t ) - o s = 1
erf 2 D æ è ç ö ø ÷

10. Error Function
The terms erf and erfc stand for error function and complementary error function respectively - it is the Gaussian error function as tabulated (like trigonometric and exponential functions) in mathematical tables. (see Table 5.1, Callister 6e).
Its limiting values are:

11. THERMALLY ACTIVATED PROCESSES
Examples: rate of creep deformation, electrical conductivity in semiconductors, the diffusivity of elements in metal alloy
Arrhenius Equation
Rate = K·exp(-Q/RT)
where K is a pre-exponential constant (independent of temperature),
Q- the activation energy, R the universal gas constant and T the absolute temperature
Energy
Atom must overcome an activation
energy q, to move from one stable
position to another
Mechanical analog: the box must
overcome an increase in potential energy DE,
to move from one stable position to another

12. Table 1

13. Table 2

14. 𝑗 =−𝐷∙𝑔𝑟𝑎𝑑𝐶≡−𝐷∙ 𝑑𝐶 𝑑𝑥 (1)
First Fick’s Law
𝑗 =−𝐷∙𝑔𝑟𝑎𝑑𝐶≡−𝐷∙ 𝑑𝐶 𝑑𝑥 (1)
Assumptions:
Molecular transfer without convection (natural or forced), i.e. no motion as a whole (otherwise additional term should be added);
Λ – mean free pass << L – characteristics length of the problem (otherwise Knudsen diffusion);
T=constant (otherwise Onsager's equations for thermo-diffusion);
The concentration of this admixture should be small and the gradient of this concentration should be also small; or we have to consider only binary system; or diffusion coefficients are equal to all components;
It means that ji depends on the gradient of only Ci !!
(otherwise Onsager's multicomponent diffusion) .

15. Convection
Now, if we have motion of the system as a whole, which is characterized by linear velocity 𝑣 than:
𝑗 =−𝐷∙𝑔𝑟𝑎𝑑𝐶+ 𝑣 ∙𝐶 (2)
𝑣 – average molar velocity, which is related to the flux of particles (for ideal gases equals to the average volume velocity); for binary system (2) stands for wide range of concentrations with almost constant D and 𝑣 - should be expressed as average volume velocity of
the mixture.

16. 𝑉 𝑉 = 𝑗 𝑖 𝐶 𝑖 = 𝑢 𝑖 𝐶 𝑖 𝐶 𝑖 = 𝑥 𝑖 𝑢 𝑖 (4)
Stephan’s Flux
If the heterogeneous transformations involve the change of the volume it leads to the overall motion of the mixture in the direction normal to the boundary on which transformation (reaction) takes place. As a result this convection flux influences the diffusion flux and formula (2) should be used to describe the process. This importance of accounting the change of the position of the boundary in overall diffusion flux was for the first time outlined by Josef Stefan (Stefan, J., 1890.Uber die Verdampfung und die Auflosung als Vorgange der Diffusion. Ann. Phys. — Berlin 277, 727–747).
The special importance the Stefan Flux has for the process of evaporation and condensation.
The average velocity for each component (i) can be defined as:
𝑢 𝑖 = 𝑗 𝑖 𝐶 𝑖 (3)
The average velocity of the Brownian Motion equals to zero, thus 𝑢 𝑖 is an average velocity of directional movements of the media. The value of this velocity depends on the coordinate system and only 𝑢 𝑖 − 𝑢 𝑘 is invariant.
The overall flux rate is a sum of the directional rates of each component, thus molar velocity:
𝑉 𝑉 = 𝑗 𝑖 𝐶 𝑖 = 𝑢 𝑖 𝐶 𝑖 𝐶 𝑖 = 𝑥 𝑖 𝑢 𝑖 (4)

17. Diffusion Flux We can also represent the flux using partial pressures:
𝑗 𝑖 =− 𝐷 𝑖 𝑅𝑇 𝑔𝑟𝑎𝑑 𝑝 𝑖 + 𝑣 𝑅𝑇 𝑃 𝑖 (5)
Summation over all components gives:
𝑖 𝑗 𝑖 =− 1 𝑅𝑇 𝑖 𝐷 𝑖 𝑔𝑟𝑎𝑑 𝑝 𝑖 + 𝑣 𝑅𝑇 𝑃 (6)
and if all Di = D, or as for binary diffusion D12=D21=D:
𝑖 𝑗 𝑖 =− 𝐷 𝑅𝑇 𝑔𝑟𝑎𝑑𝑃+ 𝑣 𝑅𝑇 𝑃 (7)
If P=const than:
𝑖 𝑗 𝑖 = 𝑣 𝑅𝑇 𝑃 and 𝑣 = 𝑅𝑇 𝑃 𝑖 𝑗 𝑖 = 𝑗 𝑖 𝐶 𝑖 (8)
thus we obtained again average volume velocity.

18. Binary system 𝑗 𝑖 =− 𝐷 𝑖 𝑅𝑇 𝑑 𝑃 𝑖 𝑑𝑥 + 𝑣 𝑅𝑇 𝑝 𝑖 (9)
Near the surface when the transformation (reaction) occurs one may consider 1D-case when we can neglect the gradients along the directions parallel to the surface:
𝑗 𝑖 =− 𝐷 𝑖 𝑅𝑇 𝑑 𝑃 𝑖 𝑑𝑥 + 𝑣 𝑅𝑇 𝑝 𝑖 (9)
In the binary system it is only one coefficient of mutual diffusion D12=D21=D
𝑢 1 = 𝑗 1 𝐶 1 =− 𝐷 𝑅𝑇 𝐶 1 𝑑 𝑃 1 𝑑𝑥 + 𝑣 (10)
𝑢 2 = 𝑗 2 𝐶 2 =− 𝐷 𝑅𝑇 𝐶 2 𝑑 𝑃 2 𝑑𝑥 + 𝑣 (11)
and
𝑢 1 − 𝑢 2 =− 𝐷 𝑅𝑇 1 𝐶 1 𝐶 2 ( 𝐶 1 𝑑 𝑃 2 𝑑𝑥 − 𝐶 2 𝑑 𝑃 1 𝑑𝑥 ) (12)

19. Maxwell-Stefan formula
Since P=P1+P2=const:
d 𝑃 1 d𝑥 =- d 𝑃 2 d𝑥
we get famous Maxwell-Stefan formula:
𝑢 1 − 𝑢 2 =− 𝐷 𝑅𝑇 1 𝐶 1 𝐶 2 𝐶 1 𝑑 𝑃 2 𝑑𝑥 − 𝐶 2 𝑑 𝑃 1 𝑑𝑥 =− 𝐷∙𝑃 𝑝 1 𝑝 2 ∙ 𝑑 𝑃 1 𝑑𝑥
𝑢 1 − 𝑢 2 = 𝐷∙𝑃 𝑝 1 𝑝 2 ∙ 𝛻 𝑝 1 =− 𝐶 1 + 𝐶 2 𝐶 1 𝐶 2 D∙𝛻 𝐶 (13)
* which for multicomponent case has the following general form:

20. Josef Stefan’s evaporation– diffusion tube
A vertical tube is partly filled with a liquid, which in turn evaporated and the vapor flowed out of the tube at the open end.
The tube portion above the liquid level contained a (binary) mixture consisting of the surrounding gas (air) and the vapor, generated on the liquid–gas interface.
Due to evaporation, the liquid level fell, and the process was unsteady, even if all other parameters were kept constant.
Under these conditions, Stefan derived equations for calculating the concentration distribution along tube length and the evaporation rate of the liquid.

21. The Stefan solution (1)
Stefan started by applying the momentum and continuity equations to diffusion in the gaseous area above the liquid level. The gas mixture and its components were treated as ideal gases, and the total pressure and temperature are constant through out the whole system. The origin of the coordinate x is the plane of the upper tube end, and the position of the liquid level is denoted by L. The gas mixture contained two components, and the Stefan equations describing the diffusion process are:
(14)
(15)
The indices1and 2 refer to the mixture components1(vapor) and2 (gas); t is the time,
while A12 and A21 represent the resistance coefficients.

22. The Stefan solution (2) Adding equations (14):
Adding equations (15) and accounting (16):
(16)
(17)
Now to solve (14) and (15) Stefan used the boundary condition at the moving liquid–gas interface where evaporation is taking place: As the components are not consumed while passing the interface, their fluxes ( 𝒏 𝟏 𝒂𝒏𝒅 𝒏 𝟐 ) are the same on both sides of the interface:
where uI denotes the velocity of the interface; the indices L, G and I stand for liquid, gas, and interface, respectively.
(18) 2G
Adding equations (18):
and considering that the interface is impermeable to gas(component 2) and the liquid does not move, so c 2L=0, and u1L =0 , hence
(19)

23. Boundary condition (17) Eq. (14) for component 1 is written as:
And substituting c2u2 term from (20)
We can rewrite (14) as:
where, for reason of simplicity we have omitted some indices, and set:
Note that Eq. (20) is obtained from the boundary conditions at the interface, but due to Eq. (17) it is valid in the whole diffusion space.
(20)
(21)

24. The Stefan solution (3)
(21)
(15)
Differentiating Eq.(21) with respect to x and combining with Eq. (15) for component 1 gives the relation :
With the boundary conditions:
This is known as the non-stationary Stefan diffusion equation
(21a)
(22)

25. Additional Boundary Conditions
(21)
(22)
(20)
At x=0, the equation is satisfied automatically; Let us consider boundary condition at x=L ; it is assumed that the concentration c1I depends only on temperature (saturation concentration of vapor),it is independent of time t when the temperature is constant. Thus:
Integrating Eq.(23) with respect to x,
And comparing with (21) we may conclude that: 𝜑 𝑡 =− ( 𝑐 1 𝑢 1 ) 𝐼 at x=L and from (20):
Finally, combining Eqs. (23) and (24) gives the additional boundary condition relation:
(23)
(24)
𝑥=𝐿 𝐷 12 𝜕 𝑐 1𝐼 𝜕𝑥 - 𝑐−𝑐 1𝐼 𝑐 ∙ 𝑐 𝐿 𝑑𝐿 𝑑𝑡 =0
(25)

26. The Stefan solution (4) 𝑥=𝐿 𝐷 12 𝜕 𝑐 1𝐼 𝜕𝑥 - 𝑐−𝑐 1𝐼 𝑐 ∙ 𝑐 𝐿 𝑑𝐿 𝑑𝑡 =0
So we have:
(21)
𝑥=𝐿 𝐷 12 𝜕 𝑐 1𝐼 𝜕𝑥 - 𝑐−𝑐 1𝐼 𝑐 ∙ 𝑐 𝐿 𝑑𝐿 𝑑𝑡 =0
(25)
Stefan gave the solution of Eq. (21) in the form:
where the constants B and a are to be determined from the boundary conditions at x=L,
and (26) becomes:
and with (25)
And thus
(26)
(27)

27. The Stefan solution (4) So we have: (27)
Stefan then proceeded to discuss the case when the molar liquid density was much larger than the gas
density, namely, cL>>c, and b=(cL-c)/c becomes very large. He simplified the integral (27),
From this equation the following expression for the position of the interface was deduced :
Stefan compared this expression with an expression he derived in an earlier paper (Stefan, 1873) under the assumption of a constant evaporation rate (fixed interface):
Eq. (27) rests on the assumption c10=0, that is, p10=0. Assuming in this equation cL>>c1L, cL>>c1I, it becomes identical with Eq.(28).
(27)
(28)

28. Slattery & Mhetar Solution
Let us consider a vertical tube, partially filled with a pure liquid A.
For time t < 0, this liquid is isolated from the remainder of the tube, which is filled with a gas mixture of A and B, by a closed diaphragm.
The entire apparatus is maintained at a constant temperature and pressure (neglecting the very small hydrostatic effect).
At time t = 0, the diaphragm is carefully opened, and the evaporation of A commences.
Let us assume that A and B form an ideal-gas mixture. This allows us to say that the molar density c in gas phase is a constant throughout the gas phase.
We also assume that B is insoluble in A.
We wish to determine the concentration distribution of A in the gas phase as well as the position of the liquid-gas phase interface as functions of time.
For simplicity, let us replace the finite
gas phase with a semi-infinite gas that
occupies all space corresponding to z2 > 0: Z2
at t =0 for all z2 > 0:
X (A)=X (Ao) (1)
X (A) - mole fraction of species A
in the gas phase;
X (Ao) - initial mole fraction of
species A in the gas phase
The liquid gas phase interface
is a moving plane
Z2 = h(t) (2)
and at z2 = h for all t > 0:
X(A)= X(A)e q. (3)
G(gas) Z3
L(liquid)

29. Slattery & Mhetar Solution (2)
Equations (1) and (2) suggest that we seek a solution to this problem of the form
V1= V3 =0
V2= V2 (t, z2) (4)
X(A)= X (A)(t, Z2) .
V - molar averaged velocity of gas phase; V2 - Z2 component of the molar averaged velocity
of gas phase. Since c can be taken to be a constant and since there is no homogeneous chemical reaction, the overall differential mass balance requires:
𝝏 𝑽 𝟐 𝝏 𝒁 𝟐 =𝟎 (5)
which implies:
V2=V2(t) (6)
The overall mass balance at interface requires at Z2=h:
-c(L)U2= c(V2-U2) (7)
where U2 is the Z2 component of the speed of displacement of the interface; and
c(L) is a molar density in a liquid phase.
The mass balance for species A at interface at Z2=h demands:
-c(L)U2= J(A)2- c∙X(A)∙U (8)
where J(A)2 - Z2 component of the molar flux of species A with respect to the laboratory (fixed) frame of reference and X(A) - mole fraction of species A in the gas phase. Z2
G(gas) V2 Z3 U2
L(liquid)

30. Slattery & Mhetar Solution (3)
The overall mass balance at interface requires at Z2=h:
-c(L)U2= c(V2-U2) (7)
Where U2 is the Z2 component of the sped of displacement of the interface
The mass balance for species A at interface at Z2=h demands:
-c(L)U2= J(A)2- c∙X(A)∙U (8)
It means that at Z2=h:
𝑼 𝟐 =− 𝒄 𝒄 (𝑳) −𝒄 ∙ 𝑽 𝟐 (9)
and
𝑱 𝑨 𝟐 = 𝒄(𝒄 ∙𝑿 𝑨 − 𝒄 (𝑳) ) 𝒄− 𝒄 (𝑳) ∙ 𝑽 𝟐 (10) Z2
G(gas) V2 Z3 U2
L(liquid)

31. Slattery & Mhetar Solution (3)
It means that at Z2=h:
𝑼 𝟐 =− 𝒄 𝒄 (𝑳) −𝒄 ∙ 𝑽 𝟐 (9)
𝑱 𝑨 𝟐 = 𝒄(𝒄 ∙𝑿 𝑨 − 𝒄 (𝑳) ) 𝒄− 𝒄 (𝑳) ∙ 𝑽 𝟐 (10)
Now, from Fick’s law for binary diffusion:
𝑱 𝑨 𝟐 =𝒄 ∙𝑿 (𝑨) ∙𝑽 𝟐 - 𝒄∙𝑫 𝟏𝟐 𝝏 𝑿 (𝑨) 𝝏 𝒁 𝟐 (11)
which accounting (10) allows to conclude that:
at Z2=h 𝑽 𝟐 = (𝒄− 𝒄 𝑳 ) 𝒄 𝑳 (𝟏− 𝑿 𝑨 𝒆𝒒 ) 𝑫 𝟏𝟐 𝝏 𝑿 (𝑨) 𝝏 𝒁 𝟐 (12)
and based on (6) we may conclude that everywhere
𝑽 𝟐 =− ( 𝒄 𝑳 −𝒄) 𝒄 𝑳 (𝟏− 𝑿 𝑨 𝒆𝒒 ) 𝑫 𝑨𝑩 𝝏 𝑿 (𝑨) 𝝏 𝒁 𝟐 ∣ 𝒛 𝟐=𝒉 (13)

32. Slattery & Mhetar Solution (3)
We concluded that everywhere :
𝑽 𝟐 =− ( 𝒄 𝑳 −𝒄) 𝒄 𝑳 (𝟏− 𝑿 𝑨 𝒆𝒒 ) 𝑫 𝑨𝑩 𝝏 𝑿 (𝑨) 𝝏 𝒁 𝟐 ∣ 𝒛 𝟐=𝒉 (13)
Now equation, which reflects the continuity of the fluxes, or so-called differential mass balance for A species, equires:
𝜕 𝑋 (𝐴) 𝜕𝑡 + 𝑉 2 𝜕 𝑋 (𝐴) 𝜕 𝑍 2 = 𝐷 𝐴𝐵 𝜕 2 𝑋 (𝐴) 𝜕 𝑍 2
Or in view of eq.(13):
𝝏 𝑿 (𝑨) 𝝏𝒕 +− 𝒄 𝑳 −𝒄 𝒄 𝑳 𝟏− 𝑿 𝑨 𝒆𝒒 𝑫 𝑨𝑩 𝝏 𝑿 𝑨 𝝏 𝒁 𝟐 ∣ 𝒛 𝟐=𝒉 ∙ 𝝏 𝑿 𝑨 𝝏 𝒁 𝟐 − 𝑫 𝑨𝑩 𝝏 𝟐 𝑿 (𝑨) 𝝏 𝒁 𝟐 =0 (14)
Which must be solved with conditions (1) and (3):
at t =0 for all z2 > 0: X (A)=X (Ao) (1)
at z2 = h for all t > 0: X(A)= X(A)e q. (3)

33. Slattery & Mhetar Solution (4)
𝝏 𝑿 (𝑨) 𝝏𝒕 +− 𝒄 𝑳 −𝒄 𝒄 𝑳 𝟏− 𝑿 𝑨 𝒆𝒒 𝑫 𝑨𝑩 𝝏 𝑿 𝑨 𝝏 𝒁 𝟐 ∣ 𝒛 𝟐=𝒉 ∙ 𝝏 𝑿 𝑨 𝝏 𝒁 𝟐 − 𝑫 𝑨𝑩 𝝏 𝟐 𝑿 (𝑨) 𝝏 𝒁 𝟐 =0 (14)
Which must be solved with conditions (1) and (3):
at t =0 for all z2 > 0: X (A)=X (Ao) (1)
at z2 = h for all t > 0: X(A)= X(A)e q (3)
With substitutions: 𝜂= 𝑧 𝐷 𝐴𝐵 𝑡 and 𝜆= ℎ 4 𝐷 𝐴𝐵 𝑡 (15)
eq. (14) becomes:
(16)
where
𝝋=− ( 𝒄 𝑳 −𝒄) 𝒄 𝑳 (𝟏− 𝑿 𝑨 𝒆𝒒 ) ∙ 𝝏 𝑿 (𝑨) 𝝏 𝒁 𝟐 ∣ 𝒛 𝟐=𝒉 = - 𝟐𝑽 𝟐 𝒕 𝑫 𝑨𝑩 (17)
And (1) and (3) in the form:
𝜂→∞; 𝑋 (𝐴) → 𝑋 𝐴 𝑜 and at 𝜂=𝜆; 𝑋 (𝐴) = 𝑋 𝐴 𝑒𝑞 (18)
With recognition that: l =constant (19)

34. 𝜂→∞; 𝑋 (𝐴) → 𝑋 𝐴 𝑜 and at 𝜂=𝜆; 𝑋 (𝐴) = 𝑋 𝐴 𝑒𝑞 (18)
Solution (5)
(16)
𝜂→∞; 𝑋 (𝐴) → 𝑋 𝐴 𝑜 and at 𝜂=𝜆; 𝑋 (𝐴) = 𝑋 𝐴 𝑒𝑞 (18)
The solution of (16)-(18) is:
(20)
From (17) and (19), we see that:
(21)

35. Solution (6) 𝑈 2 =− 𝑐 𝑐 𝐿 −𝑐 ∙ 𝑉 2 (9) (21)
𝑈 2 =− 𝑐 𝑐 𝐿 −𝑐 ∙ 𝑉 (9)
(21)
Let us characterized the rate of evaporation by the position of phase interphase z2=h(t)
From (15) and (19) if follows:
𝑑ℎ 𝑑𝑡 = 𝑈 2 =𝜆 𝐷 𝐴𝐵 𝑡 (22)
From (9), (17) and (22):
𝜑=2( 𝑐 𝐿 −𝑐) 𝜆 𝑐 (23)
Now we have to solve for a given system, (21), (23) we can find 𝝋 and 𝝀 𝐚𝐧𝐝 𝐭𝐡𝐚𝐧 𝐟𝐢𝐭 𝐭𝐡𝐞 𝐞𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐚𝐥 𝐡=𝐡 𝐭 𝐝𝐚𝐭𝐚

36. Notes:
(21)
From eq. (21), we see that, in the limit X (A)e q → X (A)o, the dimensionless molar averaged velocity 𝜑 →0, and the effects of diffusion-induced convection can be neglected (V2=0).
If one simply says that V2=0 and uses Fick's second law, even though the overall jump mass balance (7) suggests that this is unreasonable, it can be shown that:
And only this equation should be solved to follow experimental h=h(t) data.
Let us consider two liquids to emphasize this effect. Methanol has a relatively low vapor pressure at room temperature, and we anticipate that the effects of diffusion-induced convection will be small. Methyl formate has a larger vapor pressure, and the effects of diffusion-induced convection can be anticipated to be larger.
(22)

37. Example (1) For Evaporation of Methanol l= -1.74 x 10 -4 𝝋= -0.208.
Solving eqs. (21) and (23) simultaneously, we found
l= x 10 -4 𝝋=
From Fig. 1 below , it can be seen that the predicted height of the phase interface follows the experimental data closely up to 2500 s. As the concentration front begins to approach the top of the tube, we would expect the rate of evaporation to be reduced. Note that neglecting diffusion-induced convection results in an under prediction of the rate of evaporation.
For Evaporation of Methanol
T = 25,4 C
p = × 105 Pa
X (methanol)eq.= 0.172
X(methanol)o = 0
D (methanol,air) == x m2/s
(corrected from × m2/s at 0ºC and 1 atm (Washburn, 1929, p. 62) using a popular empirical correlation (Reid et al., (1987) The Properties of Gases and Liquids, 4th Ed. McGraw-Hill, New York, U.S.A.1987, p. 587);
c(L)= 24.6 kgmol/ 3
(Dean, J. A. (1979) Lange's Handbook of Chemistry, 12th ed. McGraw-Hill, New York, U.S.A. pp ),
c= kg mol/m 3
(Estimated for air from Dean, 1979, p )).
The lower curve gives the position of the phase interface h (mm)
as a function of t (s) for evaporation of methanol into air at
T = 25.4ºC and p = x 105 Pa. The upper curve is the same
case derived by arbitrarily neglecting convection.

38. Example (2) For Evaporation of Methyl Formate: l= -1.84 x 10 -3
Solving eqs. (21) and (23) simultaneously, we found
l= x 10 -3 𝝋=
From Fig. 2, it can be seen that the predicted height of the phase interface follows the experimental data closely over the entire range of observation. Once again, neglecting diffusion-induced convection results in an underprediction of the rate of evaporation
For Evaporation of Methyl Formate:
T = 25,4 C
p = × 105 Pa
X (mformate)eq.= 0.784
X(methanol)o = 0
D (mformate,air) == x m2/s
(corrected from × m2/s at C and 1 atm (Washburn, 1929, p. 62) using a popular empirical correlation (Reid et al., (1987) The Properties of Gases and Liquids, 4th Ed. McGraw-Hill, New York, U.S.A.1987, p. 587);
c(L)= 16.1 kgmol/ 3
(Dean, J. A. (1979) Lange's Handbook of Chemistry, 12th ed. McGraw-Hill, New York, U.S.A. pp ),
c= kg mol/m 3
(Estimated for air from Dean, 1979, p )).
The lower curve gives the position of the phase interface h (mm)
as a function of t (s) for evaporation of methyl formate into air
at T = 25.4ºC and p = x 105 Pa. The upper curve is the same
case derived by arbitrarily neglecting convection.