Kinetic model polydisperse

In part I, Timm and Rachow Q) describe an algorithm for interpretation of chromatograms for imperfect resolution. The instrument was one of low plate counts, and yet population density di.,. ributions consistent with theoretical, kinetic models were achieved (, ) Research, using high plate count columns, shows that convergent distributions are achieved and that results are not a function of instrument resolution. Linear polystyrene resins had a polydispersity in the interval 1.5 M /M 2.0. 

According to this kinetic model the collision efficiency factor p can be evaluated from experimentally determined coagulation rate constants (Equation 2) when the transport parameters, KBT, rj are known (Equation 3). It has been shown recently that more complex rate laws, similarly corresponding to second order reactions, can be derived for the coagulation rate of polydisperse suspensions. When used to describe only the effects in the total number of particles of a heterodisperse suspension, Equations 2 and 3 are valid approximations (4). 

A kinetic model based on homogeneous polymerization was developed to describe the polymerization in CO2 [51, 54]. A model based on the reaction scheme in Fig. 3 adequately described the polymerization rates and the poly-dispersity of the polymer. Monomer inhibition was incorporated into the model to account for the observed deviation from first-order kinetics. However, imperfect mixing of the higher viscosity medium is an alternative explanation. It was concluded that termination was by combination, for three reasons. First, there was no existing literature to support termination by disproportionation for PVDF. Second, the polydispersity was approximately 1.5 at low monomer concentrations. Third, NMR studies showed no evidence of unsaturation. 

Belov et al. experimentally demonstrated that with the (C5H5)2TiCl2—A1(C2H5)2-C1 homogeneous catalytic system, the degree of polyethylene polydispersity reaches the theoretical value 2 in a short polymerization time. This agrees with a kinetic model based on monomolecular reactions of chain transfer and termination. 

The rest of this chapter is organized as follows. First, in Section 6.1, we consider the collision term for monodisperse hard-sphere collisions both for elastic and for inelastic particles. We introduce the kinetic closures due to Boltzmann (1872) and Enksog (1921) for the pair correlation function, and then derive the exact source terms for the velocity moments of arbitrary order and then for integer moments. Second, in Section 6.2, we consider the exact source terms for polydisperse hard-sphere collisions, deriving exact expressions for arbitrary and integer-order moments. Next, in Section 6.3, we consider simplified kinetic models for monodisperse and polydisperse systems that are derived from the exact collision source terms, and discuss their properties vis-d-vis the hard-sphere collision models. In Section 6.4, we discuss properties of the moment-transport equations derived from Eq. (6.1) with the hard-sphere collision models. Finally, in Section 6.5 we briefly describe how quadrature-based moment methods are applied to close the collision source terms for the velocity moments. 

The polydisperse kinetic model can be compared with the monodisperse case by setting 02 = 0. It is straightforward to show that... 

Since the traditional kinetic models of solid-state reactions are often based on a formal description of geometrically well defined bodies treated under strictly isothermal conditions, they are evidently not appropriate to describe the real process, which requires accoimt to be taken of irregularity of shape, polydispersity, shielding and overlapping, unequal mixing anisotropy and so on, for sample particles under reaction. One of the measures which has been taken to solve the problem is to introduce an accommodation function a a) [32]. The discrepancy between the idealized /(a) and the actual kinetic model function h a) can be expressed as... 

The real breakthrough in terms of kinetic theory was published in 1973 by Aniansson and Wall [80, 81], who provided much more applicable kinetic equations for stepwise micelle formation using a polydisperse model. In a substantial paper two years later they were able to predict the first-order rate constants for the dis-sociation/association of surfactant ions to and from micelles (and hence residence times/lifetimes of surfactant monomers within micelles) [82]. They found values for the association and dissociation of surfactants into/from micelles (Ar and k , respectively) for sodium dodecyl sulfate (SDS) as 1 x 10 s and 1.2 x 10 mok s". Their kinetic model still remains essentially unchanged as a basis for the kinetics of micellar formation and breakdown. Modifications made to existing theory also allowed them to offer a significant thermodynamic explanation for the low enthalpy change upon micellization. 

This chapter has discussed the analysis of reactors for step-growth polymerization assuming the equal reactivity hypothesis to be valid. Polymerization involves an infinite set of elementary reactions under the assumption of this hypothesis, the polymerization can be equivalently represented by the reaction of functional groups. The analysis of a batch (or tubular) reactor shows that the polymer formed in the reactor cannot have a polydispersity index (PDI) greater than 2. However, the PDI can be increased beyond this value if the polymer is recycled or if an HCSTR is used for polymerization. A comparison of the kinetic model with experimental data shows that the deviation between the two exists because of (1) several side reactions that must be accounted for, (2) chain-length-dependent reactivity, (3) unequal reactivity of various functional groups, or (4) comphca-tions caused by mass transfer effects. 

The motion of polydispersed particulate phase is modeled making use of a stochastic approach. A group of representative model particles is distinguished. Motion of these particles is simulated directly taking into account the influence of the mean stream of gas and pulsations of parameters in gas phase. Properties of the gas flow — the mean kinetic energy and the rate of pulsations decay — make it possible to simulate the stochastic motion of the particles under the assumption of the Poisson flow of events. 

Physical and numerical models are created describing the d3mamics of turbulent combustion in heterogeneous mixtures of gas with polydispersed particles. The models take into account the thermal destruction of particles, chemistry in the gas phase, and heterogeneous oxidation on the surface influenced by both diffusive and kinetic factors. The models are validated against independent experiments and enable the determination of peculiarities of turbulent combustion of polydispersed mixtures. 

Comparison between Experimental Results and Model Predictions. As will be shown later, the important parameter e which represents the mechanism of radical entry into the micelles and particles in the water phase does not affect the steady-state values of monomer conversion and the number of polymer particles when the first reactor is operated at comparatively shorter or longer mean residence times, while the transient kinetic behavior at the start of polymerization or the steady-state values of monomer conversion and particle number at intermediate value of mean residence time depend on the form of e. However, the form of e influences significantly the polydispersity index M /M of the polymers produced at steady state. It is, therefore, preferable to determine the form of e from the examination of the experimental values of Mw/Mn The effect of radical capture mechanism on the value of M /M can be predicted theoretically as shown in Table II, provided that the polymers produced by chain transfer reaction to monomer molecules can be neglected compared to those formed by mutual termination. Degraff and Poehlein(2) reported that experimental values of M /M were between 2 and 3, rather close to 2, as shown in Figure 2. Comparing their experimental values with the theoretical values in Table II, it seems that the radicals in the water phase are not captured in proportion to the surface area of a micelle and a particle but are captured rather in proportion to the first power of the diameters of a micelle and a particle or less than the first power. This indicates that the form of e would be Case A or Case B. In this discussion, therefore, Case A will be used as the form of e for simplicity. 

Application of the two-mode models for a CSTR to the above kinetics results in a set of nonlinear algebraic equations, which when solved gives the MWD and the polydispersity index (PDI). For the case of premixed feed, Fig. 17 shows the variation of the MWD with n, where MWD is defined as... 

In contrast, if rigid chain molecules are of a rod-like shape (for a worm-like model x— 0), there is no conformational polydispersity in the assembly and comparison of Eqs. (61) and (62) gives G = 0.5. This is close to the value of G for a kinetically rigid (Jaussian coil both for weak (G = 0.667) and strong (G = 0.504) hydrodynamic interactions. 

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