13 The Anionic Solution Polymerization of Butadiene in a Stirred-Tank Reactor J. G . M O O R E , M . R. W E S T , and J. R. B R O O K S
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Department of Chemical Engineering, University of Leeds, U . K . L S 2 9JT
The research programme i n t o n-butyl l i t h i u m i n i t i a t e d , a n i o n i c polymerization started a t Leeds i n 1972 and involved the c o n s t r u c t i o n o f a p i l o t s c a l e , continuous s t i r r e d tank r e a c t o r . This was operated i s o t h e r m a l l y , t o o b t a i n data under a t y p i c a l range o f i n d u s t r i a l operating c o n d i t i o n s . Mathematical models o f the r e a c t i o n system were developed which enabled p r e d i c t i o n o f the molecular weight distribution (MWD). D i r e c t and i n d i r e c t methods were used, but only d i s t r i b u t i o n s obtained from moments are described here. Due to the s t i f f n e s s o f the model equations an improved numerical i n t e g r a t o r was developed, i n order to solve the equations i n a reasonable time scale. I t has been p o s s i b l e to o b t a i n a good measure o f agreement between the experimental r e s u l t s , and those p r e d i c t e d by even a simple mathematical model o f the system, assuming i d e a l s t i r r e d tank behaviour. One t y p i c a l r e s u l t i s presented here. D e s c r i p t i o n o f the Experimental System. The experimental i n v e s t i g a t i o n used a 3 l i t r e m i l d s t e e l CSTR designed and constructed w i t h i n the department o f Chemical Engineering at Leeds U n i v e r s i t y and depicted i n F i g . 1, which was capable o f operation at temperatures up to 423K and pressures up to 9 bar. This was f i t t e d with a s i n g l e h e l i c a l ribbon impeller d r i v e n at 60 r.p.m., to ensure good mixing o f the r e a c t o r contents. The r e a c t o r could be heated by use o f e l e c t r i c a l h e a t i n g tapes wound round i t s e x t e r n a l surface and cooled by a flow o f water through an internal c o i l . The r e a c t o r was f u l l y instrumented with r e s p e c t t o process c o n d i t i o n s , the instruments being i n t e r f a c e d to a computer system, to allow o n - l i n e data a c q u i s i t i o n , and e v e n t u a l l y c o n t r o l . The r e a c t o r pressure was measured by a force balance transducer. Two thermocouples measured the temperature o f the r e a c t a n t s a t the top and bottom o f the r e a c t o r . The i m p e l l e r design r e q u i r e d that the thermocouples entered the r e a c t o r through i t s base p l a t e , together with the cooling c o i l . The reactant volume was measured
0-8412-0506-x/79/47-104-281$05.00/0 © 1979 American Chemical Society Henderson and Bouton; Polymerization Reactors and Processes ACS Symposium Series; American Chemical Society: Washington, DC, 1979.
POLYMERIZATION REACTORS AND PROCESSES
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282
Henderson and Bouton; Polymerization Reactors and Processes ACS Symposium Series; American Chemical Society: Washington, DC, 1979.
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13. MOORE ET AL.
Reactant Reservoir
Potassium Hydroxide
Anionic
Butadiene
Polymerization
Molea Sieve
Figure 2.
System
flowsheet
Henderson and Bouton; Polymerization Reactors and Processes ACS Symposium Series; American Chemical Society: Washington, DC, 1979.
283
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284
POLYMERIZATION REACTORS AND PROCESSES
by a d i f f e r e n t i a l pressure transducer, and was c o n t r o l l e d from the computer by means of a s o l e n o i d valve i n the o u t l e t l i n e . The experimental r i g was constructed to minimise the chance o f reactant contamination by oxygen and moisture. The feed s o l u t i o n s were made up i n storage v e s s e l s capable of withstanding 11 bar. High pressure nitrogen was used to d r i v e the s o l u t i o n s i n t o the r e a c t o r , e l i m i n a t i n g the opportunity f o r i m p u r i t i e s to seep through the packings o f any pumps. The monomer feeds passed through towers c o n t a i n i n g potassium hydroxide, which removed the i n h i b i t o r . Then they were driven through d r y i n g towers c o n t a i n i n g molecular sieve type 4A, a f t e r which t h e i r moisture contents were monitored by a continuous hygrometer. The feed flows were measured using rotameters, f i t t e d with f l o a t f o l l o w i n g d e v i c e s , which enabled the flowrate to be transmitted to the computer. The solvent was recovered from the polymer cement by steam s t r i p p i n g , followed by the s e p a r a t i o n o f the o r g a n i c l a y e r . I t was then p u r i f i e d i n a small batch s t i l l , i n c o r p o r a t i n g a packed column and d r i e d by passage through a bed o f molecular s i e v e , before being returned to the storage v e s s e l s . Operating Conditions and Experimental Methods The experimental programme was mainly concerned with estimating kinetic parameters from i s o t h e r m a l steady state operation o f the reactor. For these runs, the r e a c t o r was charged with the r e a c t a n t s , i n such proportions that the mixture r e s u l t i n g from t h e i r complete conversion approximated the expected steady s t a t e , as f a r as t o t a l polymer concentrations was concerned. In order to conserve reactants, the r e a c t o r was r a i s e d to the operating temperature i n batch mode. When t h i s temperature had been attained, continuous flow operation commenced. This was maintained f o r s e v e r a l residence times. Runs were c a r r i e d out at 363K, 384K and 393K using monomer feed c o n c e n t r a t i o n s o f between 5 and 25%. The i n i t i a t o r feed concentration was maintained around .01 mol/1. Residence times v a r i e d from 60 to 120 minutes. In p r a c t i c e the reactant volume was maintained at 2.7 1, as t h i s improved the controllability of the system. During experimentation the process c o n d i t i o n s were recorded a u t o m a t i c a l l y , while the feed s o l u t i o n s , and the r e a c t o r contents were sampled approximately every hour during the flow r e a c t o r operation phase, and subsequently analysed o f f - l i n e . The monomer feed streams were analysed by g a s - l i q u i d chromatography. The i n i t i a t o r feed was determined by t i t r a t i o n using the method o f Gilman Samples of the r e a c t o r contents were quenched with methanol and the polymer p r e c i p i t a t e d with acetone. The polymer content was determined g r a v i m e t r i c a l l y and i t s molecular weight d i s t r i b u t i o n by g e l permeation chromatography. The microstrueture was determined using i n f r a - r e d absorption techniques.
Henderson and Bouton; Polymerization Reactors and Processes ACS Symposium Series; American Chemical Society: Washington, DC, 1979.
13.
MOORE ET AL.
Anionic
Butadiene
Polymerization
285
The Framework f o r the Mathematical Modelling Important features o f the modelling work are the means o f i n t e g r a t i o n o f the model equations and the method o f regenerating the dynamic polymer d i s t r i b u t i o n from i t s moments. The framework provided by t h i s approach makes i t p o s s i b l e to produce models with few assumptions about the model behaviour. The i n t e g r a t o r that has been developed i s designed f o r the s o l u t i o n of s t i f f systems o f o r d i n a r y d i f f e r e n t i a l equations (ODEs) since the d i f f e r e n t i a l equations f o r the higher moments introduce c o n s i d e r a b l e s t i f f n e s s i n t o the system. The i n t e g r a t o r uses Gear's method (2,3,4), an. i m p l i c i t p r e d i c t o r - c o r r e c t o r a l g o r i t h m . The implementation has been shown to be more e f f i c i e n t than other implementations of Gear s method (3). The i n t e g r a t o r can be accessed through s e v e r a l d i f f e r e n t subroutines which give the user varying degrees of c o n t r o l over the f a c i l i t i e s a v a i l a b l e , the o b j e c t i v e being to make the i n t e g r a t o r at once easy to use, yet f l e x i b l e enough f o r the most demanding user. Such f l e x i b i l i t y i s important f o r the s o l u t i o n o f the type o f model considered here, since development can occur around the model equations rather than around the l i m i t a t i o n s of the numerical i n t e g r a t o r . Methods f o r generating d i s t r i b u t i o n from moments have been a v a i l a b l e since the l a s t century. They were used o r i g i n a l l y as a method o f f i t t i n g a d i s t r i b u t i o n curve through poor data, but they are e q u a l l y well suited f o r generating a curve d i r e c t l y from the moments. Two types o f curve have been f i t t e d to the moments. The f i r s t o f these i s the Pearson D i s t r i b u t i o n (5), a curve which i s described by the d i f f e r e n t i a l equation
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f
d£ dx
x
=
~
b
" + b„x + c 1
a
(1) b x 2 0
The second method that has been developed i s the Laguere Polynomial, which w i l l be more f a m i l i a r from i t s use by Bamford and Tompa (6). Both methods have advantages. The Laguere Polynomial has the advantage that i t can be used to f i t almost any curve. The disadvantages are that i t can never give the exact d i s t r i b u t i o n , even where one could be given, and unless the shape i s c h a r a c t e r i s t i c o f a Laguere Polynomial, convergence can be slow. The Pearson D i s t r i b u t i o n has the advantage o f g i v i n g the exact d i s t r i b u t i o n i n a number o f cases, and i t only r e q u i r e s four moments. However, f o r d i s t r i b u t i o n curves that are not o f the Pearson Type, completely erroneous curves may be generated. A c h a r a c t e r i s t i c o f both types o f curve i s that the e r r o r i s predominantly i n the t a i l s o f the distribution. Where these methods give good agreement on the d i s t r i b u t i o n curve, confidence can be placed i n the r e s u l t . The m u l t i p l e reactor c a p a b i l i t y allows the modelling o f up to f i v e CSTRs connected i n any p o s s i b l e c o n f i g u r a t i o n . This i s achieved by simple mass and energy accounting, with the user
Henderson and Bouton; Polymerization Reactors and Processes ACS Symposium Series; American Chemical Society: Washington, DC, 1979.
POLYMERIZATION REACTORS AND PROCESSES
286
supplying the required stream s p l i t s . I t w i l l be noted that the same model can be used f o r i n v e s t i g a t i n g the e f f e c t o f poor mixing w i t h i n a s i n g l e reactor. A Model o f an Anionic Polymerisation The r e a c t i o n scheme considered
System i n t h i s model i s described
Rate o f i n i t i a t i o n = k£(RLiJ* [M] Rate o f propagation = k^(RLi]£
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This complex rate expression type ^
(RLi) ^nRLi n
RLi + M
(1)
(M]
(2)
can be used to model r e a c t i o n s o f the
A
- - p i f e ^ J
R.M.Li
Rate. = ( k . ^ / n ) [ R L i ] J n
k
i
=
V^A*'
'
1 1
by
x
/ N
(4)
[M]
(5)
= 1/n
,
(6)
i f i t can be assumed that the rate o f exchange between associated i n i t i a t o r and ' a c t i v e ' i n i t i a t o r i s high r e l a t i v e to the o v e r a l l rate of i n i t i a t i o n . I t can a l s o be used as i t stands as a complex rate equation f o r systems where the mechanism i s more complex. The propagation rate expression can be used to d e s c r i b e simple d i s s o c i a t i v e schemes o f the type (PLi)
nPLi
n
K
[(PLDJ
>RM
n
(7)
p A
= Jadl
P A
RM L i + M
K
,Li
k
n+1
(8) p
Here the rate o f propagation can be expressed as Rate = p
k
(
k p n
p
K^n)[PLij;
= k K^ /n p
,
/ n
[M]
y = 1/n
Henderson and Bouton; Polymerization Reactors and Processes ACS Symposium Series; American Chemical Society: Washington, DC, 1979.
(9) (10)
MOORE ET AL.
13.
Anionic
Butadiene
287
Polymerization
Mass Balance on I n i t i a t o r F_
.1 , J
I
Mass o f i n i t i a t o r entering i n the i n l e t stream f o r
U
reactor j .
J
Q 0
Mass o f i n i t i a t o r e n t e r i n g r e a c t o r j from other r e a c t o r s .
I.F
Mass o f i n i t i a t o r l e a v i n g r e a c t o r j .
V.I^M.k_(T.) = Rate J
J
J
J
I
V
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7T J J dt
>
.V.— Mass o f i n i t i a t o r consumed by i n i t i a t i o n reaction i n reactor j .
T
, J
J
+
= F -In I,j0
. + I .F . - V.Rate , 00,j j R,j j I,j
T
D
(11)
T
Since Vj i s constant, =
(
F
^
J
I
^
I
^
-
I
J
F
^
/
Y
-rat
J
e i < J
(
1
2
)
Mass Balance on Monomer F
.M
M
M
mass o f monomer e n t e r i n g r e a c t o r j i n the i n l e t
.
stream.
mass o f monomer e n t e r i n g r e a c t o r j from other r e a c t o r s .
uu, j F_
.M.
mass o f monomer l e a v i n g r e a c t o r j .
3
V . I ^ .k-(T .) = V.Rate J
J
J
1
J
J
i
,
. mass o f monomer consumed i n i n i t i a t i o n reaction.
T
J
v • V.M.Ui.k (T.) = V.Rate
. — m a s s o f monomer consumed i n propagation reaction
p
J
J
U
J
J
OT JV M
P
F
,
J
M
- M,j 0
+
M
0 0 , J " R,J J - V ^ I J F
M
V
a t e
p,J (13)
o T ^
F
M
= < M,j 0
+
M
F
M
00,j- R , J j
) / V
j -
R
a
t
e
I,j *
R a t 6
p,J (14)
Mass Balance on Polymer P . — P o l y m e r o f chain length n from other r e a c t o r s (mass) 00, n, j , . , ' ' entering reactor j . nrk
F
.P
.—mass o f polymer l e a v i n g r e a c t o r j o f chain
length
Henderson and Bouton; Polymerization Reactors and Processes ACS Symposium Series; American Chemical Society: Washington, DC, 1979.
POLYMERIZATION REACTORS AND PROCESSES
288 V.P J
.M.k (T.)-mass o f polymer o f chain length n destroyed n,j
F
j
j
i
R
n
E
A
C
T
O
J
R
B
V.M.P* .k (T.) —mass o f polymer o f chain length n created J J n-l,j P j j i
n
r
e
a
c
t
o
r
#
P
concentration o f polymer
(total).
P*
concentration o f polymer
(unassociated).
For n greater than 1:
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^
( P
=
n,jV
P
00,n,j "
F
R,j 1,j P
+
" Y n , j W V o t ^ ^
•
( P
F
)
= P
00.n.i ~ R A , i
Y
)
/
^
V
j
W
P
j
(
V
" n,
W
1
5
)
V
For n=1 ^
(
V l , J
Sjr
( p
i.j
}
=
F
P
00,1,J- R,J 1,J
( p
oo,i,r
F
p
R,j i,j
+
) / v
V
j
+
a
t
e
R
I , J
a
t
e
i , j
-V.P* ,M.k (T.) J >>J J P J
(18)
Polymer Moments D e f i n i n g the moments by, U
.=* p
n
.
(19)
u\ . = * nP . 1iJ n n,j
(20)
= * n-p . n n,j
U, 1J
A
(21)
H
3
.
n
Henderson and Bouton; Polymerization Reactors and Processes ACS Symposium Series; American Chemical Society: Washington, DC, 1979.
/ x 0 0
(^ 22
MOORE ET AL.
13.
Anionic
Butadiene
289
Polymerization
from ( 1 6 ) and ( 1 8 ) one can obtain
f
+
( n + l ) l
( P
(
F
00,n 1
P
" R,J n,j
+
) / V
j *
P
S,J J p J> M
( T
k
P* , ,.M.k P*.« M , k _((TT.j j n+1,j j p J
(23)
Rearranging
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f l . j
. Rate^ - ( R ^ / V . ^ / p ^
• =
R
a
t
i , J -
e
S ( F
^
R,J
/ V
W
- ij jVV u
) U
J
M
+
V
i,J (
> f +
+
ifeo
U
(
oo,i,j
i
)
u
(^P
+
(
n
/ v
j
!-i,j
)
*
M
1
)
k
j P
l
(
(
T
0
>
S ,
p
j
0
n
j
J
j
W
T
j
)
)
°
( 2 1
(
2
5
)
Now assuming that the r a t e o f exchange between a s s o c i a t e d and unassociated polymer chains i s r a p i d , compared t o the r a t e o f propagation, then the d i s t r i b u t i o n o f the a c t i v e polymer, w i l l be e q u i v a l e n t to the t o t a l polymer d i s t r i b u t i o n . I.e. U» . U., . iJ 0,J 0,j 1
N o w
3
u
8,j
K y
=
( u
i,/ oj> u
" °1.J ° 0 J
T
h
U
S
f l , J
=
+
(
y PA°u,j
•
0
(26)
Rate
^
I ( j
( U
u
y K
o,j
2
7
)
j
/j
j V V
Henderson and Bouton; Polymerization Reactors and Processes ACS Symposium Series; American Chemical Society: Washington, DC, 1979.
(
3
0
)
POLYMERIZATION REACTORS AND PROCESSES
290
= Rate_ . - (F ./V.) U. . + U . ./V. IiJ R,J J 1,J 00,l,j j n n
- /0
1,J
U*-\j
0,J
(J)(U,
M.k'(T.) + C \ J p J
l
. . uy*1)7 1-1,J 0,J
M,k'(T.) where (\) i'
(3D
1
"
' i!(l-i)!
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Comparison o f Experimental
and Simulation
Results
The s i m u l a t i o n r e s u l t s depicted i n F i g s . 3 and 4 were obtained by i n t e g r a t i n g equations 12, 14 and 31 using the data i n Table 1 to time one m i l l i o n seconds.
Table 1:
Data f o r Simulation
Parameter
Value
I n i t i a t o r Feed Concentrations
0.0914 kgm "
Monomer Feed Flowrate
2.782 kgm "
M
3
0 7
F
3
0.667 x 10" m /s
I,J 6
F
3
0.583 x 10~ m /s
M,j
Reactant Volume
0.0027 m
Reactor Temperature Propagation Constant
I
3
0
Monomer Feed Concentrations I n i t i a t o r Feed Flowrate
Symbol
Rate
I n i t i a t i o n rate Constant
3 V
J T
384 K
i .296
m
3
1
(kg-mol)" s~
k
1
P t
-4 V2 1.95 x 10 n r ^ k
I
(kg-mol) ~* s""*
The e a r l y experimental p o i n t s i n the c o n c e n t r a t i o n chain length d i s t r i b u t i o n ( F i g . 3) may be i n a c c u r a t e . They are c a l c u l a t e d from the weight d i s t r i b u t i o n obtained from the GPC. The concentration chain length d i s t r i b u t i o n i s a f u n c t i o n o f the weight chain length d i s t r i b u t i o n and the inverse o f the chain length. Hence any e r r o r i n the p o i n t s i n the weight chain length d i s t r i b u t i o n i s exaggerated.
Henderson and Bouton; Polymerization Reactors and Processes ACS Symposium Series; American Chemical Society: Washington, DC, 1979.
MOORE ET AL.
Anionic
Butadiene
Polymerization
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13.
Henderson and Bouton; Polymerization Reactors and Processes ACS Symposium Series; American Chemical Society: Washington, DC, 1979.
291
POLYMERIZATION REACTORS AND PROCESSES
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292
Henderson and Bouton; Polymerization Reactors and Processes ACS Symposium Series; American Chemical Society: Washington, DC, 1979.
13.
MOORE ET AL.
Anionic
Butadiene
293
Polymerization
I t can be seen that the t h e o r e t i c a l and agree w e l l . The means a l s o concur.
experimental curves
Conclusions The described experimental r i g f o r the a n i o n i c p o l y m e r i s a t i o n of dienes has been shown to behave as an i d e a l CSTR. The mathematical model developed allows the p r e d i c t i o n o f the MWD at f u t u r e points i n the r e a c t o r h i s t o r y , once s u i t a b l e k i n e t i c parameters have been estimated.
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Abstract A p i l o t s c a l e plant, i n c o r p o r a t i n g a three l i t r e continuous s t i r r e d tank reactor, was used f o r an i n v e s t i g a t i o n i n t o the n-butyl l i t h i u m i n i t i a t e d , a n i o n i c p o l y m e r i z a t i o n o f butadiene i n n-hexane solvent. The r i g was capable o f being operated at elevated temperatures and pressures, comparable with i n d u s t r i a l operating conditions. Mathematical models of the reaction system have been developed, enabling prediction of the molecular weight d i s t r i b u t i o n , based on the experimental data obtained from the pilot plant using on-line computer techniques. Results of s i m u l a t i o n studies are compared with a c t u a l p l a n t runs, and show a good measure o f agreement. L i t e r a t u r e Cited 1.
Gilman, H., Haubein, M.
J . Am.
2.
Gear, G.W. "Numerical I n i t i a l P r e n t i c e - H a l l , New Jersey, 1971.
3.
Dew, P.M., West, M.R. U n i v e r s i t y , Report 107
Department of Computer Studies, (1978).
Leeds
4.
Dew, P.M., West, M.R. U n i v e r s i t y , Report 111
Department o f Computer Studies, (1978).
Leeds
5.
Elderton, W.P. "Frequency Curves Cambridge U n i v e r s i t y Press, 1938.
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