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Handbook of Solvents - George Wypych - ChemTech - Ventech!

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792 Michelle L. Coote and Thomas P. Davis<br />

tude <strong>of</strong> the Bootstrap effect is independent <strong>of</strong> the comonomer feed ratios. Hence in a bulk<br />

copolymerization, the monomer partitioning may be represented by the following equilibrium<br />

expression:<br />

f<br />

f<br />

1<br />

2<br />

K f<br />

=<br />

f<br />

⎛<br />

⎜<br />

⎝<br />

1bulk<br />

2bulk<br />

⎞<br />

⎟<br />

⎠<br />

The equilibrium constant K may be considered as a measure <strong>of</strong> the Bootstrap effect.<br />

Using this expression to eliminate the effective monomer fractions (f 1 and f 2) from the terminal<br />

model equations, replacing them with the measurable ‘bulk’ fractions (f 1bulk and f 2bulk),<br />

the following equations for composition 43 and k p 118 may be derived.<br />

F<br />

F<br />

k<br />

1<br />

2<br />

p<br />

Kf<br />

=<br />

f<br />

1bulk<br />

2bulk<br />

rKf 1 1 + f2<br />

rf + Kf<br />

bulk bulk<br />

2 2bulk 1bulk<br />

2 2<br />

1 rK 1 f1 + 2Kff+<br />

r f<br />

=<br />

Kf + f rKf / k + r f / k<br />

1bulk 2bulk<br />

bulk 1bulk 2bulk 2<br />

2 2bulk 1 1bulk 11 2 2bulk 22<br />

Examining the composition and k p equations above, it is seen that the Bootstrap effect<br />

K is always aliased with one <strong>of</strong> the monomer feed ratios (that is, both equations may be expressed<br />

in terms <strong>of</strong> Kf 1 and f 2). It is also seen that once Kf 1 is taken as a single variable, the<br />

composition equation has the same functional form as the terminal model composition<br />

equation, but the k p equation does not. Hence it may seen that, for this version <strong>of</strong> the Bootstrap<br />

effect, the effect is an implicit effect - causing deviation from the terminal model k p<br />

equation only. It may also be noted that, if K is allowed to vary as a function <strong>of</strong> the monomer<br />

feed ratios, the composition equation also will deviate from terminal model behavior - and<br />

an explicit effect will result. Hence it may be seen that it is possible to formulate an implicit<br />

Bootstrap model (that mimics the implicit penultimate model) but in order to do this, it must<br />

be assumed that the Bootstrap effect K is constant as a function <strong>of</strong> monomer feed ratios.<br />

It should be noted that the above equations are applicable to a bulk copolymerization.<br />

When modelling solution copolymerization under the same conditions, the equations may<br />

be used for predicting copolymer composition since it is only the relationship between bulk<br />

and local monomer feed ratios that determines the effect on the composition and<br />

microstructure <strong>of</strong> the resulting polymer. However, some additional information about the<br />

net partitioning <strong>of</strong> monomer and solvent between the bulk and local phases is required before<br />

k p can be modelled. It should be observed that in a low-conversion bulk<br />

copolymerization, knowledge <strong>of</strong> the monomer feed ratios automatically implies knowledge<br />

<strong>of</strong> the individual monomer concentrations since, as there are no other components in the<br />

system, the sum <strong>of</strong> the monomer fractions is unity. However, in a solution copolymerization<br />

there is a third component - the solvent - and the monomer concentrations depend not only<br />

upon their feed ratio but also upon the solvent concentration. Modelling k p in a solution<br />

copolymerization could be achieved by re-writing the above equilibrium expression in<br />

terms <strong>of</strong> molar concentrations (rather than comonomer feed ratios), and including the solvent<br />

concentration in this expression.

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