z r X z z L Y , ; (2) dV r d z z K Y V , , (3) X, Y – - ; KV – - ;z – - ; r – ; – ;V – ;L

39

. . , . . , . . , . .

, -

, -

, -

. -

[1, 2].

- [1].

-

, -

. -

,

- .

, , -

[2],

-

, -

.

- - n, C –

, , -

[1]:

n n n C

C

^{n n}

! exp 1

1

0

, (1) –

.

- ,

.

, -

-

- - [2].

,

- - ,

-

. -

( )

[1, 2].

: z

r X z z L

Y , ; (2)

dV r d z z K

Y

V , , (3)

X, Y – -

; K_V – -

;z – -

; r – ; –

;V – ;L – -

.

: Y

X dV k

d

st , (4)

kst– .

(1), (2) :

. ln 0

,

, 0 ,

2 2

2 2

z X z r L z z D

X

z r Y z z D

Y

(5)

-

ln 1

, ^V K_V

z r K

z

D , (6)

– [2]:

40

2007. 2

k L

st . (7)

, -

f V

V K Ldf

K 1f

. (8) -

0

1 1

Y Y 1 f K ds

0

1 1

1 exp 1

1

z V Y

Y Y f K ds

J

0

0

1 exp 1 .

1

z st

V Y

X k f K ds

J

⁽⁹⁾

= 1 -

[2].

z V Y

ds J K

Y f Y

0 0

1 1

z V Y

st

K ds

J f X k

0

0 . (10)

: 1:

0

1 1

exp f K ds

J

H V Y

0 0 0

1 1 1

exp Y

X ds k

K J f

st H

V Y

; (11) = 1:

0

ds J K

f

^H

V Y

0 0 0

1

1 Y

X ds k

J K

f

^H _st

V Y

. (12) n

-

, -

: 1:

1 0 1 0

1 1 exp

1 1 exp

ds K J f

ds K J f

n

i H

i V Y

n

i H

i V Y

i i

0

1

0

Y X k

_st

; (13) = 1:

n

i H

i V Y

n

i H

i V Y

i i

ds K J f

ds K J f

1 0 1 0

1 1 1

. (14)

- - n

:

1 0 1 0

1 1 exp

1 1 exp

ds K J f

ds K J f

n

i H

i V Y

n

i H

i V Y

i i

0

1

0

Y X k

_st

. (15) - [3],

RS, -

- HS - .

:

a D R_S aD 4

2 ln , (16)

41

S S

S a H

hR H

J h

j ₂

2

exp 2

2 . (17)

,

: H_S, -

, -

, -

- .

-

, -

[1, 2].

-

a d d I a

i

exp 4 4

0 0

min . (18)

d0

a ( , -

).

a d₀

- I i_min - .

- - :

1:

1 1 1

exp

1 1 1

exp

S S

H H

K G F

H H

K G F

; (19)

= 1:

1 1

1

S S

H H

GK F

H H

GK F

. (20)

F – ;G – -

.

-

[4], -

:

h h

h , (21) N

h 1 H^S

, (22)

1 ln 1 1

N 1 , (23)

h* – -

( -

).

, -

,

, -

, -

.

- .

1 2 3 4 5 6 7 8

0,25 0,50 0,75 1,00 1,25 1,50 1,75 2,00 a

d₀

I imin

(12)

42

2007. 2

1. . -

. .: , 1969. . 622.

2.Brener A.M., Bolgov N.P., Sokolov N.M., Tarat E.Ya.

The application of random walk methods to the modelling of liquid distribution on the regular shelf packing // Theor. Found.

of Chem. Eng. 1981. V. 15(1). P. 62-67.

3.Brener A.M. Adaptation of random walk methods to the modelling of liquid distribution in packed columns // Advances in Fluid Mechanics, IV. Southampton, Boston: WIT Press, 2002.

P. 291-300.

4. ., ., . . .:

, 1982. C. 696.

i -

i .

i .

.

Summary

The new approach to modelling the liquid distribution influence on the heat and mass transfer intensity in the gas- liquid chemical reactors has been carried out. The expressions obtained can be applied to the design of reactors with allowance for the scaling phenomena.

513.83

. . 3.03.07 .

. . , . .

- ,

-

, . . .

- -

, -

. . [1, 2] ( . [3, c. 27]

-

). , -

-

L n , -

L

, -

:

0 0

0

u

Lu

, L u_{1 0}u₁ u₀, ...,

1

0 S S

S

u u

u

L

. (1)

-

[4, c.179] N f,

m -

0 )

( A E

^m

f

– -

; – -

), -

,

, f

N -

, .

N -

- ,

f

i

f

f

₀

,

₁

, ,

^{, ,}

(1)

0

,

0

f

Af Af

₁

f

₁

f

₀, ... ,

1 i i

i

f f

Af

.

(1)

, ,

-

. . [5].

- - -

. , ,