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Coefficients behavior

For a review of activity coefficient behavior of indicators in acid solutions, see Yates, K. McClelland, R.A. Prog. Phys. Org. Chem., 1974, 11, 323,... [Pg.356]

Fig. 24 Friction coefficient behavior of (a) PTFEokGy-EPDM, (b) PTFE20kGy-EPDM, and (c) PTFE500kGy-EPDM... Fig. 24 Friction coefficient behavior of (a) PTFEokGy-EPDM, (b) PTFE20kGy-EPDM, and (c) PTFE500kGy-EPDM...
Calculations of the relations between the input and output amounts and compositions and the number of extraction stages are based on material balances and equilibrium relations. Knowledge of efficiencies and capacities of the equipment then is applied to find its actual size and configuration. Since extraction processes usually are performed under adiabatic and isothermal conditions, in this respect the design problem is simpler than for thermal separations where enthalpy balances also are involved. On the other hand, the design is complicated by the fact that extraction is feasible only of nonideal liquid mixtures. Consequently, the activity coefficient behaviors of two liquid phases must be taken into account or direct equilibrium data must be available. [Pg.459]

Concentration polarization may be a possible explanation for this erratic permeability coefficient behavior however, the influence of concentration polarization in gaseous exchange regimes such as the one herein reported is quite doubtful and subject to dispute(7 ). Alternative possibilities include (a) permeator functional loss due to on-going membrane compaction,... [Pg.22]

The theory of the saturable absorption effect in single-wall carbon nanotubes has been elaborated. The kinetic equations for density matrix of n-electrons in a single-wall carbon nanotube have been formulated and solved analytically within the rotating wave approximation. The dependence of the carbon nanotube absorption coefficient on the driving field intensity has been shown to be different from the absorption coefficient behavior predicted forthe case of two level systems. [Pg.108]

Radically different binary phase behavior is found for the methane-TMB and the methane-methanol systems. This suggests that TMB can be extracted from methanol. To verify this conjecture experimental information was obtained on the TMB-methanol-methane system to ascertain whether the weak TMB-methanol complex can be broken by nonpolar methane. Interestingly, carbon dioxide, ethane, and ethylene, all much better supercritical solvents than methane, dissolve both methanol and TMB to such a large extent that they are not selective for either component. But with methane, the interactions between methane and TMB are strong enough to maintain a constant concentration of TMB in the extract phase as TMB is removed from the methanol-rich liquid phase. This means that the distribution coefficient for TMB increases as the concentration in the liquid phase decreases. We know of no other system that exhibits this type of distribution coefficient behavior. [Pg.188]

The one-constant Margules equation provides a satisfactory representation for activity coefficient behavior only for liquid mixtures containing constituents of similar size, shape, and chemical nature. For more complicated systems, particularly mixtures of dissimilar molecules, simple relations such as Eq. 9.5-1 or 9.5-5 are not valid. In particular, the excess Gibbs energy of a general mixture will not be a symmetric function of the mole fraction, and the activity coefficients of the two species in a mixture should not be expected to be mirror images. One possible generalization of Eq. 9.5-1 to such cases is to set... [Pg.432]

Our predictions for the activity coefficients, together with the experimental data, are plotted in Fig. 9.6-1. It is evident that although the regular solution theorx prediction leads to activity coefficient behavior that is qualitatively correct, the quantitative agreement in this case is. in fact, poor. This example should serve as a warning that theoretical predictions may not always be accurate and that experimental data are to be preferred. ... [Pg.448]

The behavior of the quadratic and linear fit methods is shown in Figure 1. The interpretation of the a2 coefficient behavior in terms of soft-repulsion effects in the quadratic fit az(p) assumes that the data fitted... [Pg.95]

Thus the mass scattering efficiency increases as Dp for the smallest particles and falls off as Dp 1 for large particles. This behavior is most clearly evident from the Exa, curve for carbon in Figure 15.7. The mass absorption coefficient behavior for Dp X is seen from (15.21), from which QabS Dp. There is no straightforward way to see the dependence of Qabs on Dp for Dp 3> X, but jabs Dp in this region. Then, from (15.43), we obtain the dependence of mass absorption efficiency on particle size in the two extremes as... [Pg.710]

Activity Coefficient Behavior of Organic Molecules and Ions in Aqueous... [Pg.635]

Stem and coworkers have shown that deviations from constant diffusion coefficient behavior generally occur in rubbery polymers before the onset of deviations from Henry s Law solubility behavior. In either case, substitution of Eq. (20.4-6) along with the appropriate isotherm form into Eq. (20.3-2) permits graphical or analytical integration to obtain the permeability in terms of the upstream and downstream penetrant volume fractions or concentrations. Even for the case in which Henry s Law applies, the resulting expression is rather complicated and is not reproduced here in its general form. [Pg.902]

If gaseous systems have high densities, both the kinetic theory of gases and the Chapman-Enskog theory fail to properly describe the transport coefficients behavior. Furthermore, the previously derived expression for viscosity and... [Pg.8]

In general, the understanding of the behavior of transport coefficients in gases is far greater than that for liquid systems. This can be partially explained by seeing that liquids are much more dense than ga.ses. Additionally, theoretical and experimental work for gases is far more voluminous than for liquids. In any case the net result is that approaches to transport coefficient behavior in liquid systems are mainly empirical in nature. [Pg.16]

The assymetric activity coefficient behavior of non-ideal mixtures is predictable. [Pg.281]

This coefficient behavior might easily cause numerical stability problems and must be avoided. [Pg.1165]


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See also in sourсe #XX -- [ Pg.352 ]




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