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Method, analytical solutions groups

Accurate and reliable surface heat transfer and flow friction characteristics are a key input to the exchanger heat transfer and pressure drop analyses or to the rating and sizing problems (see Fig. 17.36). After presenting the associated nondimensional groups, we will present important experimental methods, analytical solutions, and empirical correlations for some important exchanger geometries. [Pg.1300]

The largest division of interfacial electrochemical methods is the group of dynamic methods, in which current flows and concentrations change as the result of a redox reaction. Dynamic methods are further subdivided by whether we choose to control the current or the potential. In controlled-current coulometry, which is covered in Section IIC, we completely oxidize or reduce the analyte by passing a fixed current through the analytical solution. Controlled-potential methods are subdivided further into controlled-potential coulometry and amperometry, in which a constant potential is applied during the analysis, and voltammetry, in which the potential is systematically varied. Controlled-potential coulometry is discussed in Section IIC, and amperometry and voltammetry are discussed in Section IID. [Pg.462]

UNIFAC andASOG Development. Pertinent equations of the UNIQUAC functional-group activity coefficient (UNIFAC) model for prediction of activity coefficients including example calculations are available (162). Much of the background of UNIFAC involves another QSAR technique, the analytical solution of groups (ASOG) method (163). [Pg.249]

When experimental equilibrium data on nonideal mixtures are not available, methods such as those based on Derr and Deal s analytical solution of groups (ASOG) [28] or the UNIFAC correlation (discussed in Example 3.4) may be used. Activity-coefficient estimation methods are also available in various thermodynamic-data packages, such as Chemshare. Further discussion may be found in Prausnitz [3] and in Reid, Prausnitz, and Sherwood [1]. [Pg.43]

Since one goal of classical electrostatic applications to protein reactivity is to incorporate available detailed structural information, the system is usually quite complicated and analytical solutions to the various electrostatic equations are rarely available. Numerical methods for solving these equations rapidly and accurately are therefore a non-trivial requirement. Various methods of calculation are briefly discussed. A key component of such calculations is to have reliable input parameters and data. These typically include the position, size, and charge distribution of all the atoms or groups being explicitly treated, and parameters describing the electrostatic... [Pg.201]

Activity coefficients, which play a central role in chemical thermodynamics, are usually obtained from the analysis of phase equilibrium measurements. However, with shifts in the chemical industry and the use of combinatorial chemistry, new chemicals are being introduced for which the needed phase equilibrium data may not be available. Therefore, predictive methods for estimating activity coefficients and phase behavior are needed. Group contribution methods, such as the ASOG [analytical solution of groups... [Pg.341]

The UNIFAC-FV and Entropic-FV models are not the only extensions of UNIFAC to polymers. Similar models have been presented by Iwai and Arai ° ° and by Choi etal. ° Choi s model is not based on UNIFAC but on ASOG. ASOG (Analytical Solution of Groups) is a predictive GC method for calculating activities, similar to UNIFAC, but which has not experienced the widespread use of UNIFAC. It is mostly employed in Japan. Besides this difference, the models of Aral and Choi contain an FV, which is different from that of Equation 16.49. These two models have been applied with success for some polymer-solvent systems but not for LEE. [Pg.709]

This result only gives you the fact that Oi can be written as a function of the other fls. Normally, the exact functional form comes from data correlation or rearrangement of analytical solutions. Correlating data using the dimensionless numbers formed by this method typically allows one to obtain graphical plots which are simpler to use and/or equations which fit to the data. If the dimensionless terms are properly grouped, they represent ratios of various effects and one can ascertain the relative importance of these effects for a given set of conditions. [Pg.276]

Predicted Compositions during Mixed Solvent Evaporation from Resin Solutions Using the Analytical Solutions of Groups Method... [Pg.19]

In the analytical solution of groups (ASOG) method of Derr and Deal [14], the four postulates of Wilson and Deal are implemented. The activity coefficient due to molecular size differences is given by the Flory-Huggins equation, Equation (4.414), and the group activity coefficient is given by the Wilson equation. [Pg.345]

The analytical-solution-of-groups (ASOG) method was developed by Derr and Deal17 and Wilson,72 and a compilation of parameters has been prepared by Kojima and Tochigi.41 In this method, the activity coefficient of component / in a mixture is computed as follows... [Pg.549]

The two most developed group contribution methods are the ASOG (Analytical Solution Of Groups) and UNIFAC (UNIquac Functional-group Activity Coefficient) " models, both of which are the subjects of books. We will consider only the UNIFAC model here. UNIFAC is based on the UNIQUAC model of Sec. 9.5. This model, you will remember, has a combinatorial term that depends on the volume and surface area of each molecule, and a residual term that is a result of the energies of interaction between the molecules. In UNIQUAC the combinatorial term was evaluated using group contributions to compute the size parameters, whereas the residual term had two adjustable parameters for each binary system that were to be fit to experimental data. [Pg.449]


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