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Evaluation of the Parameters

Evaluation of the parameter values in the van Laar and Margules expressions requires, of course, experimental activity coefficient data for the binary system involved. [Pg.467]

To this purpose all data are regressed to obtain the parameter values that best fit em. They can, of course, be also obtained from a pair of activity coefficient data by solving a system of two equations with two unknowns. Thus, if for a given the corresponding activity coefficients are Yi and Y2 we obtain the following expressions for the van Laar parameters  [Pg.467]

Expressions for the Margules parameters can be developed in a similar fashion. [Pg.467]

The two equations, in spite of the different assumptions involved in their development from Wohl s expression (Eq. 13.11.1), give very similar results, because of their purely empirical character and the fact that they contain the same number of adjustable parameters. [Pg.467]

To develop some familiarity in working with nonideal systems consider the following Example. [Pg.467]


Equations (18) are identical with Eqs. (8), which were used to describe Regime I. The evaluation of the parameters in Eqs. (18) is described in Section II,B,2,a. [Pg.27]

The evaluation of the parameters in the dimensionless groups is discussed in Section II,B,2,c. [Pg.28]

The evaluation of the parameters for this flow regime requires the calculation of the Reynolds number and hydraulic diameter for each continuous phase. The hydraulic diameter can be determined only if the holdup of each phase is known. This again illustrates the importance of understanding the fluid mechanics of two phase systems. Once the hydraulic diameter is known, the Reynolds number can be evaluated with the knowledge of the in situ phase velocity, and the parameters of the model equations can be evaluated. [Pg.31]

The evaluation of the parameters for Regime II flows is difficult, due to the complexity of the fluid mechanics in this regime. It was because of this complexity that the model equations, Eqs. (15) and (17), were simplified by considering three special cases for these gas-liquid systems. [Pg.34]

The mechanism of solid catalysis involves processes of diffusion, formation of loose combinations with the solid and reactions of those combinations. Reactions with enzymes also involve intermediate, temporary combinations with the enzymes. The rate equations that may proposed in particular cases depends on what are believed to be controlling mechanisms. Many such eqautions are considered in Chapter 6. Here only one of the simpler forms will be examined for evaluation of the parameters, namely,... [Pg.108]

In evaluation of the parameters Aj and Bj, Timm and Ra-chow ( ) utilized number and weight average molecular weights coupled with the observed, normalized chromatogram for that standard. Specifically,... [Pg.115]

We saw from Equation (7.75) how to rearrange the Langmuir equation into a form that permits graphical evaluation of the parameters. For the adsorption of gases this becomes... [Pg.423]

The four unknown parameters are or0, k, n, and Rf. The left-hand side should vary linearly with V/A. Data obtained with at least three different pressures are needed for evaluation of the parameters, but the solution is not direct because the first three parameters are involved nonlincarly in the coefficient of V/A. The analysis of constant rate data likewise is not simple. [Pg.311]

Similar to the rare-earth trichlorides, also different ternary MYX compounds have been studied thoroughly under high pressure. The results for the pressure-induced changes of the Slater parameter F2 and the spin-orbit coupling parameter of these and other compounds are presented in table 5. Due to the difficulties with the DS model, the evaluation of the parameter shifts has been performed only in terms of the two covalency models. Assuming small changes for the free-ion parameters, the relative changes were approximated by ... [Pg.532]

We show that application of a constant force (bias held) results in shifting the position of the ordinary SR peak together with the anticipated reduction of its height and sharpness. For the quadratic SR the situation is more complicated. There, the joint action of the thermal noise and constant bias leads to formation of a mountain-like surface over the plane of those parameters. In other words, for each given value of the bias held there exists a unique value of the noise strength that maximizes SNR and vice versa. The discovered effect can be useful, for example, for evaluation of the parameters of bistable systems through susceptibility measurements. In addition, it has to be taken into account when designing any devices where the nonlinear SR is employed. [Pg.535]

We have given kinetic insight into a number of experimental features of the Soai reaction. It was shown that chiral amplification and mirror-symmetry breaking are driven by a reaction network that contains enantioselective autocatalysis and mutual inhibition as the essential ingredients. In this sense, the Soai reaction moves the early concepts of Frank forward into experimental reality. Taking into account the formation of isopropylzinc alkoxide dimers, an evaluation of the parameter space in which amplification and symmetrybreaking are observed indicates that the heterochiral dimers display a higher thermodynamic stability and have to be formed faster than the homochiral ones. The necessity of such sensitive interplay may explain why such reactions systems are so scarce. [Pg.93]

The electrostatic function S(r) is computed from the partial charges. Application of conditions (a) and (b) leads to an evaluation of the parameters d and c. The angular dependence arises from the electrostatic interaction of the partial charges (in the S(r) term). Once d and c are... [Pg.136]

The evaluation of pair potentials is much more time-consuming than the evaluation of the parameters in the model of Gresh et al. On the other hand, pair potentials are easy to transfer and corresponding interaction energy calculations are very fast. In contrast, the application of the model of Gresh et. al. includes always time-demanding ab initio calculations. [Pg.74]

Using (26) we can check the evaluation of the parameters obtained by different methods. Also we can use X2 from (26) when solving (25) to make the evaluation for X more precise. [Pg.676]

The advantage of network analysers is the possibility of impedance measurement near resonance with evaluation of the parameters R, L, C and C0 and test of the equivalent electrical circuit. However frequency response and network analysers are relatively slow with 1-10 s per measurement in typical experiments. A new generation of faster instruments has come to the market like the HP E5100 Network Analyzer with 40 (is per point in the impedance spectrum which allows us to obtain the impedance of the system in less than 10 ms. [Pg.478]

Construction of the Auxiliary M Matrix for Evaluation of the Parameters of the Continued Fraction Starting from the Mcnnents of the Hubbard Density of States. [Pg.108]

Examples of the use of these tools for the evaluation of the parameters are shown in Fig 1. Instead of measured data, use has been made of computer simulations by numerically solving Eqs. (6) and (7). The values of J are calculated with Eq. (2). In these figures different combinations of the parameter values are used. Care has been taken throughout that the parameter At, for use in Eq. (2), was small enough to guarantee the equality of J and J. ... [Pg.764]

The evaluation of the parameters in terms of the concentrations has proved extremely difficult, and application of the resultant equations to decreasing drying rates has not been satisfactory. [Pg.254]

An important number of references have been published dealing with many applications of supported liquid membranes. Mathematical modeling of the process has been developed and it can be generalized and applied to the determination of the response of different systems containing more than one solute. After evaluation of the parameters, process optimization can be applied using common optimization procedures, as described in the text. [Pg.1036]

B. Bojkov, R. Luus, 1992, Use of Random Admissible Values for Control in Iterative Dynamic Programming, Ind. Eng. Chem. Res., vol. 31, p.l308 B. Bojkov, R. Luus, 1993, Evaluation of the Parameters Used in Iterative Dynamic Programming, Can. J. Chem. Eng., vol. 71. p. 451... [Pg.318]

As discussed already in Sect. 8.2.3, there is a variety of publications that report experimental evaluations of the parameters a and v (see e.g., [181-186]). They are often different in various potential ranges, but also depend strongly on the particular reaction environment (the structure and... [Pg.511]

Thus, the only difference between the problem for a pure component and that for a mixture is in the evaluation of the parameters a and b. [Pg.8]

Step 5. Final NONMEM modeling to determine the population model with the evaluation of the parameter estimates. [Pg.231]

Fig. 6.19. Schematic of the five structures used in the evaluation of the parameters J0-J5. Fig. 6.19. Schematic of the five structures used in the evaluation of the parameters J0-J5.
The comprehensive analysis of physical, chemical, and electrochemical processes occurring in the solid electrolyte gas sensors, allows verifying the adequacy of mathematical models to the real gas sensors. Processing the results of multiple experimental measurements of the gas sensors consists in elucidation of the type of experimental data distribution, evaluation of the parameters of the established distribution, and verification of the adequacy of the mathematical model to the real sensor. [Pg.83]


See other pages where Evaluation of the Parameters is mentioned: [Pg.420]    [Pg.22]    [Pg.33]    [Pg.518]    [Pg.82]    [Pg.289]    [Pg.56]    [Pg.51]    [Pg.91]    [Pg.2412]    [Pg.1112]    [Pg.164]    [Pg.653]    [Pg.77]    [Pg.89]    [Pg.60]    [Pg.2205]    [Pg.142]   


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Evaluation of parameters

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