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Distribution constant theoretical prediction

The rational design of a reaction system to produce a polymer with desired molecular parameters is more feasible today by virtue of mathematical tools which permit prediction of product distribution. New analytical tools such as gel permeation chromatography are being used to check theoretical predictions and to help define molecular parameters as they affect product properties. There is a laudable trend away from arbitrary rate constants, but systems other than styrene need to be treated in depth. A critical review of available rate constants would be useful. Theory might be applied more broadly if it were more generally recognized that molecular weight distributions as well as rates can be calculated from combinations of constants based on the pseudo-steady-st te assumption. These are more easily determined than the individual constants in chain reactions. [Pg.39]

The maximum spoutable bed depth was found to decrease with increasing particle size by Malek and Lu (M3), who experimented with four different sizes of wheat (1.2-3.7 mm) in a 6-in. column. On the other hand, Reddy et al. (Rl), who worked with mixed-size materials (alimdum, glass spheres, and polystyrene), also in a 6-in. column, reported that Hm first increases with particle size and then decreases, a peak value being attained at a mean particle size of 1.0-1.5 mm. The observed variation of Hm, correlated by Reddy et al. with mean particle size, is likely to be also influenced by size distribution, which cannot be fully characterized by any particular mean diameter. Nevertheless, the existence of a peak Hm with respect to particle size alone is theoretically predictable from a comparison of the effect of particle size on the gas velocities required for spouting and for fluidizing a given material (Rl). From Eq. (3), the effect of particle size and bed depth on spouting velocity, with all other variables held constant, is as follows ... [Pg.177]

Also shown in Figs. 40 and 41 are experimental data measured by Neyer et al. [244]. The agreement is excellent and the basic theoretical predictions are confirmed. In contrast to the quantum mechanical calculations, all statistical models predict — for J = 0 — constant distributions, which abruptly vanish at a specific maximum value of j and thus fail to describe the details of the quantum mechanical and experimental distributions. The same is also true for the classical distributions. [Pg.202]

It was often found that, contrary to the theoretical prediction, the value of n is non-integer [Avrami, 1939]. The Avrami model is based on several assumptions, such as constancy in shape of the growing crystal, constant rate of radial growth, lack of induction time, uniqueness of the nucleation mode, complete crystallinity of the sample, random distribution of nuclei, constant value of radial density, primary nucleation process (no secondary... [Pg.222]

Compare this inferred distribution with that predicted theoretically (Figure 6). Note the particle dispersion only in the northward direction and the confinement close to the 60-m isobath. Current measurement during the week-long release of the particles through the outfall revealed only northward-flowing currents ranging from extremely weak to 13 cm sec. Thus the observed dispersion field of the tracer particles coincides well with the dispersion field that would have been predicted theoretically. Over longer periods of time the sub-thermocline currents are seldom this constant, so prediction is more difficult. [Pg.303]

Table 10.10 lists the data for the regression analysis and, as before, gives the values of the constants in Eq. (10.23) plus the calculated concentrations. The standard deviation in this instance was 0.0035%. The limits of the correction curves are plotted in Fig. 10.12 using the value of the slope and the maximum and minimum background values. The shape of the correction curve looks far more reasonable in this instance, since indeed one would theoretically predict a family of parallel curves. Not so reasonable, however, is the correlation between x-ray and chemical values shown in Fig. 10.13. The scatter of points in this case is certainly not distributed evenly along the 1 1 relationship, and in fact all x-ray data are within 0.0026 of the mean of0.352%. In other words, this method yields approximately the same result in every case, irrespective of the arsenic concentration. [Pg.383]

Dullien - has shown that, if the pore structure is characterized in detail, a reasonably accurate theoretical prediction of the tortuosity may be made, but this requires detailed measurement of both the pore shape and pore size distribution. However, it is generally simpler and more accurate to treat the tortuosity as an empirical constant which is determined experimentally for any particular adsorbent. [Pg.134]

Some approaches have been reported that could predict or understand the value of distribution constant from a theoretical point of view. [Pg.24]

The feasibility of Kj determinations in the context of one-atom-at-a-time chemistry is very promising and the collection of Kj values will allow establishment of reliable variations of the chemical properties (complexation, hydrolysis) of elements within a group, for comparison with theoretical predictions, and, perhaps, for determination of thermodynamic constants. Moreover, other information can be derived from chromatography experiments. The mathematical treatment of elution curves can be carried out with various models, especially Glueckauf s, which offers the advantages of using simple equations and takes into account the possible dissymmetry of elution bands [31, 32]. The parameters included in Glueckauf s equations allow the determination of the distribution... [Pg.255]

The sublevel structures have been determined experimentally by Saito et al. [41] and Miki et al. [42]. Since the splitting is expected to be of the order of of Mo, the ODMR method cannot be applied. These authors determined Ae zero-field splitting, the lifetime and the relative radiative rate constants for individual sublevels by analyzing the temperature dependence of the phosphorescence lifetime and the spectral distribution. The results are schematically shown in Fig. 17 they are strikingly in accord with the theoretical prediction. The lowest two sublevels are somewhat separated. The energy gap between T2u and is observed as 710 cm S and this value is quite close to the of Mo. We... [Pg.37]


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See also in sourсe #XX -- [ Pg.24 , Pg.25 , Pg.26 , Pg.27 , Pg.28 ]




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