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Cell model of solution

The greatest success of the cell model of solutions was probably the qualitative prediction that mixtures of spherical molecules of the same size may simultaneously show a positive excess free... [Pg.117]

From the quantitative point of view, the success of the cell model of solutions was more limited. For example, a detailed analysis of the excess functions of seven binary mixtures by Prigogine and Bellemans5 only showed a very rough agreement between theory and experiment. One should of course realize here that besides the use of the cell model itself, several supplementary assumptions had to be made in order to obtain numerical estimates of the excess functions. For example, it was assumed that two molecules of species and fi interact following the 6-12 potential of Lennard-Jones ... [Pg.118]

In a cellular automata model of a solution, there are three different types of cells with their states encoded. The first is the empty space or voids among the molecules. These are designated to have a state of zero hence, they perform no further action. The second type of cell is the water molecule. We have described the rules governing its action in the previous chapter. The third type of cell in the solution is the cell modeling a solute molecule. It must be identified with a state value separate from that of water. [Pg.57]

The equations for a local equilibrium cell model of pressure swing adsorption processes with linear isotherms have been derived. These equations may be used to describe any PSA cycle composed of pressurization and blowdown steps and steps with flow at constant pressure. The use of the equations was illustrated by obtaining solutions for a single-column recovery process and a two-column recovery and purification process. The single-column process was superior in enrichment and recovery of the light component at large product cuts. The two-column process was superior at small cuts ... [Pg.212]

Cell Model of the Salt-Free Solution of Polyelectrolyte Stars... [Pg.10]

In the our previous pniblished works were presented results obtained by the same way on the ternary solid solutions Hgi-xCdxTe and Hgi-xZnxTe (Cebulski, et al.,2008 Polit et al., 2010 Sheregii et al.,2009 Sheregii et al., 2011). It was shown in these works that observed subtle structure of the two phonon sub-bands in case of ternary alloys can be successfully explained on base of the five structural cells model of H.W.Verleur and AS. Barker (V-B model) (Verleur Barker, 1966) thought the additional phonon lines were observed. Last one required the new hypothesis - the two wells potential model for Hg-atoms in lattice (Polit et al., 2010) - for explanation the experimental spectra. The V-B model will be presented in next sub-chapter. In this sub-chapter are exposed the FlK-sprectra concerning ternary alloys in order to illustrate the fact of multi-mode behaviour - main statement of the random version of the V-B model which is necessary to interpret of the exprerimental FIR-sprectra. [Pg.468]

CELL MODEL TO SOLUTIONS OF SPHERICAL MOLECULES OF SIMILAR SIZE... [Pg.147]

We have already pointed out that the first-order terms are exactly those given by the theory of Conformal Solutions. The second order terms are quite similar to those given by the cell model of Ch. VIII but are now derived in a much more elegant and direct way. [Pg.179]

We shall limit ourselves here to a discussion of the first of these four mixtures (a discussion of the others on the basis of the cell model for solutions can be found in a paper by Bellemans and Naar-Colin [1955]). [Pg.368]

This equation is a reasonable model of electrokinetic behavior, although for theoretical studies many possible corrections must be considered. Correction must always be made for electrokinetic effects at the wall of the cell, since this wall also carries a double layer. There are corrections for the motion of solvated ions through the medium, surface and bulk conductivity of the particles, nonspherical shape of the particles, etc. The parameter zeta, determined by measuring the particle velocity and substituting in the above equation, is a measure of the potential at the so-called surface of shear, ie, the surface dividing the moving particle and its adherent layer of solution from the stationary bulk of the solution. This surface of shear ties at an indeterrninate distance from the tme particle surface. Thus, the measured zeta potential can be related only semiquantitatively to the curves of Figure 3. [Pg.533]

The solution for the discretized model of the continuous functional is obtained with a certain accuracy which depends on the value of the lattice spacing h and the number of points N. The accuracy of our results is checked by calculating the free energy and the surface area of (r) = 0 for a few different sizes of the lattice. The calculation of the free energy is done with sufficient accuracy for N = 129, which results in over 2 million points per unit cell. The calculation of the surface area of (r) = 0 is sufficiently accurate even for a smaller lattice size. [Pg.696]

The square cell is convenient for a model of water because water is quadrivalent in a hydrogen-bonded network (Figure 3.2). Each face of a cell can model the presence of a lone-pair orbital on an oxygen atom or a hydrogen atom. Kier and Cheng have adopted this platform in studies of water and solution phenomena [5]. In most of those studies, the faces of a cell modeling water were undifferentiated, that is no distinction was made as to which face was a lone pair and which was a hydrogen atom. The reactivity of each water cell was modeled as a consequence of a uniform distribution of structural features around the cell. [Pg.41]

A 55 X 55 grid is used with 2100 water cells, corresponding to a density of 69%. A number of solute molecules are then added. If 100 solute molecules are used, then this number would be subtracted from the 2100 water molecules to maintain 69% cells in the grid. The assumption is made that the volume of all molecules in the grid is about 69%. This assumes that the dissolution in this study produces an overall expansion of the volume of the system to 3125 occupied cells, but we are modeling only 3025 of these as water cells. Volume expansion on addition of a solute is recognized, but it may not be a universal phenomenon. The reader is invited to explore this concept. [Pg.59]

From these results it is possible to make another estimate of a property of the solution system. It is known that the freezing point of a solvent is lowered by approximately 1.86°C for every mole of the solute present. From the estimates of the temperature of the solvent and the solution modeled above, the decrease in the temperature can be estimated. From this value, the number of cells comprising a mole of solute may be reckoned. Thus, a value may be stated for an imaginary molecular weight of the cells used in the study. [Pg.70]

Figure 5.3. A cellular automata model of the interface between two immiscible bquids, after the demixing process has reached an equilibrium. A solute (encircled cells) has partitioned into the two phases according to its partition coefficient... Figure 5.3. A cellular automata model of the interface between two immiscible bquids, after the demixing process has reached an equilibrium. A solute (encircled cells) has partitioned into the two phases according to its partition coefficient...
A series of rules describing the breaking, / B,and joining, J, probabilities must be selected to operate the cellular automata model. The study of Kier was driven by the rules shown in Table 6.6, where Si and S2 are the two solutes, B, the stationary cells, and W, the solvent (water). The boundary cells, E, of the grid are parameterized to be noninteractive with the water and solutes, i.e., / b(WE) = F b(SE) = 1.0 and J(WE) = J(SE) = 0. The information about the gravity parameters is found in Chapter 2. The characteristics of Si, S2, and B relative to each other and to water, W, can be interpreted from the entries in Table 6.6. [Pg.96]

This example is a model of the influence of a solute, S, near a membrane, on water passing through a membrane. The membrane contains lipid cells... [Pg.102]


See other pages where Cell model of solution is mentioned: [Pg.110]    [Pg.156]    [Pg.156]    [Pg.110]    [Pg.156]    [Pg.156]    [Pg.30]    [Pg.142]    [Pg.321]    [Pg.170]    [Pg.6044]    [Pg.389]    [Pg.152]    [Pg.154]    [Pg.462]    [Pg.177]    [Pg.221]    [Pg.286]    [Pg.472]    [Pg.79]    [Pg.216]    [Pg.141]    [Pg.430]    [Pg.42]    [Pg.59]    [Pg.64]    [Pg.66]    [Pg.98]    [Pg.100]    [Pg.100]    [Pg.105]    [Pg.108]   
See also in sourсe #XX -- [ Pg.117 , Pg.118 ]

See also in sourсe #XX -- [ Pg.110 ]




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Cell models

Model solutions

Solutal model

Solute model

Solution cell

Solutions of model

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