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Theoretically Based Equations

Theoretically Based Equations.— Although semi-theoretical derivations can be produced for some vapour-pressure equations, for example equation (12), these are valid at fairly low pressures only, and there are no theoretically based equations which relate vapour pressure to temperature over the whole range from the triple point to the critical point. Equations can be [Pg.261]

However, although these equations have theoretical support, and equation (34) has fewer coefficients than have equation (25) or the tenth-order Chebyshev equation, its fit to the data for oxygen is not as good and there are systematic deviations which the polynomials do not exhibit. It therefore seems questionable whether derived thermodynamic quantities which depend upon the differential coefficients dp/dJ or d p/dr are certain to be more accurate when calculated from equation (34) than they are when calculated from equation (25) or the Chebyshev equation. [Pg.262]


Among the more recent and theoretically-based equations of state in detonation physics are the perturbation-theoretical methods. First used by R. Chirat and G. Pittion-Rossillion, these methods were considerably improved later by F. Ree. [Pg.174]

Returning now to our more general discussion of cquations-of-state, note that a concise review of cquations-of-state for the PVT behavior of polymers was provided by Zollcr [39], who compared the ability of several equations-of-state (some developed empirically and some developed based on fundamental theoretical considerations) to represent PVT data for homopolymers, copolymers and polymer blends. He concluded [39] that, among theoretically-based equations-of-state, the Simha-Somcynsky equation [40,41] represents the available data best over extended ranges of temperature and pressure. [Pg.132]

In a noteworthy departure from the approach used in the theoretically-based equations of state, Arends L42,43] developed a phenomenologically-based equalion-of-state for polymer melts directly from observations on experimental data for five thermoplastic polymers and then attempted to extract physical meaning from this equation. [Pg.132]

In this section a wide range of EOS from cubic equations of state for simple molecules to theoretically based equations of state for molecular chains are considered, which are capable of providing reliable calculations of the thermodynamic and phase equilibrium properties of fluids and fluid mixtures. The various mixing rules that are used to apply equation of state to mixtures are also given. [Pg.144]

The advanced statistical-associating fluid theory (SAET) (Section 3.4), which is a theoretically based equation of state, which can be rigorously applied, unlike the activity coefficient models, at both low and high pressures... [Pg.200]

Kolafa, J. and Nezbeda, I., 1994. The Lennard-Jones fluid An accurate analytic and theoretically-based equation of state. Fluid Phase Equilib., 100 1. [Pg.245]

Numerous empirical equations of state have been proposed but the theoretically based virial equation (Mason and Spurling, 1969) is most useful for our purposes. We use this equation for systems which do not contain carboxylic acids. [Pg.27]

As pointed out in Section XVII-8, agreement of a theoretical isotherm equation with data at one temperature is a necessary but quite insufficient test of the validity of the premises on which it was derived. Quite differently based models may yield equations that are experimentally indistinguishable and even algebraically identical. In the multilayer region, it turns out that in a number of cases the isotherm shape is relatively independent of the nature of the solid and that any equation fitting it can be used to obtain essentially the same relative surface areas for different solids, so that consistency of surface area determination does not provide a sensitive criterion either. [Pg.652]

Theoretically based correlations (or semitheoretical extensions of them), rooted in thermodynamics or other fundamentals are ordinarily preferred. However, rigorous theoretical understanding of real systems is far from complete, and purely empirical correlations typically have strict limits on apphcabihty. Many correlations result from curve-fitting the desired parameter to an appropriate independent variable. Some fitting exercises are rooted in theory, eg, Antoine s equation for vapor pressure others can be described as being semitheoretical. These distinctions usually do not refer to adherence to the observations of natural systems, but rather to the agreement in form to mathematical models of idealized systems. The advent of readily available computers has revolutionized the development and use of correlation techniques (see Chemometrics Computer technology Dimensional analysis). [Pg.232]

Preferred analytical correlations are less empirical in nature and most often are theoretically based on one of two exact thermodynamic formulations, as derived in Sec. 4. When a single pressure-vohime-temperature (PVT) equation of state is apphcable to both vapor and liquid phases, the formulation used is... [Pg.1255]

Electronic properties of CNTs, in particular, electronic states, optical spectra, lattice instabilities, and magnetic properties, have been discussed theoretically based on a k p scheme. The motion of electrons in CNTs is described by Weyl s equation for a massless neutrino, which turns into the Dirac equation for a massive electron in the presence of lattice distortions. This leads to interesting properties of CNTs in the presence of a magnetic field including various kinds of Aharonov-Bohm effects and field-induced lattice distortions. [Pg.73]

Equation (1.20) is frequently used to correlate data from complex reactions. Complex reactions can give rise to rate expressions that have the form of Equation (1.20), but with fractional or even negative exponents. Complex reactions with observed orders of 1/2 or 3/2 can be explained theoretically based on mechanisms discussed in Chapter 2. Negative orders arise when a compound retards a reaction—say, by competing for active sites in a heterogeneously catalyzed reaction—or when the reaction is reversible. Observed reaction orders above 3 are occasionally reported. An example is the reaction of styrene with nitric acid, where an overall order of 4 has been observed. The likely explanation is that the acid serves both as a catalyst and as a reactant. The reaction is far from elementary. [Pg.8]

This means that representing the equilibrium adsorbate mass (or volume) adsorbed versus concentration (or partial pressure) should be a straight line if plotted on logarithmic scales. Other theoretically based correlating equations are available for the adsorption of gases and vapors9, but all equations have their limitations. [Pg.191]

It is useful to be able to estimate diffusion coefficients either to supplement mass transport data or to compare with experimentally determined values. A theoretically based method to estimate the diffusion coefficient includes upper and lower bounds for small molecules and large diffusants, respectively [40], The equation... [Pg.116]

All partitioning properties change with temperature. The partition coefficients, vapor pressure, KAW and KqA, are more sensitive to temperature variation because of the large enthalpy change associated with transfer to the vapor phase. The simplest general expression theoretically based temperature dependence correlation is derived from the integrated Clausius-Clapeyron equation, or van t Hoff form expressing the effect of temperature on an equilibrium constant Kp,... [Pg.5]

In many cases of practical interest, no theoretically based mathematical equations exist for the relationships between x and y we sometimes know but often only assume that relationships exist. Examples are for instance modeling of the boiling point or the toxicity of chemical compounds by variables derived from the chemical structure (molecular descriptors). Investigation of quantitative structure-property or structure-activity relationships (QSPR/QSAR) by this approach requires multivariate calibration methods. For such purely empirical models—often with many variables—the... [Pg.117]

Ho vever this approach does not address inter-individual variability in CYP expression nor the apparent substrate specificity of RAFs. This may be overcome through the use of intersystem extrapolation factors (ISEFs) vhich compare the intrinsic activities of rCYP versus liver microsomes and provide CYP abundance scaling by mathematical means. This employs the RAF approach and adjusts for the actual amount of liver microsomes CYP present (measured by immunochemistry) rather than a theoretical amount (Equation 8.4). Such corrections can be made using nominal specific contents of individual CYP proteins in liver microsomes or more appropriately employ modeling and simulation software (e.g., SIMCYP www.simcyp.com) which takes into account population-based variability in CYP content. [Pg.182]

Dimensionless equations - some empirical and some with theoretical bases - are often used in chemical engineering calculations. Most dimensionless numbers are usually called by the names of person(s) who first proposed or used such numbers. They are also often expressed by the first two letters of a name, beginning with a capital letter for example, the well-known Reynolds number, the values of which determine conditions of flow (laminar or turbulent) is usually designated as Re, or sometimes as The Reynolds number for flow inside a round straight tube is defined as dvp p, in which d is the inside tube diameter (L), V is the fluid velocity averaged over the tube cross section (LT ), p is the fluid density (ML" ), and p is the fluid viscosity (ML T" ) (this is defined... [Pg.5]

Equilibrium in an accumulation process is empirically defined as the point at which a partitioning coefficient becomes invariant (reaches steady state), and theoretically as the point at which the fugacity ratio equals 1 (21). With phytoplankton, most published reports indicated that equilibrium was reached in a matter of hours (6, 8, 22-26). As a result, predictions of HOC accumulation in phytoplankton have been expressed as equilibrium-based equations exclusively. [Pg.553]

Two possible explanations can be readily put forward as to why this form of equation should be suitable for describing the dependence of microbial growth rate on feed concentration. The first of these is that the equation has the same form as the theoretically based Michaelis-Menten equation used to describe enzyme kinetics. The chemical reactions occurring inside a microbial cell are generally mediated by enzymes, and it would be reasonable to suppose that one of these reactions is for some reason slower than the others. As a result the growth kinetics of the micro-organism would be expected to reflect the kinetics of this enzyme reaction, probably modified in some way, but in essence having the form of the Michaelis-Menten equation. [Pg.346]

B. Mennucci, E. Cances and J. Tomasi, Evaluation of solvent effects in isotropic and anisotropic dielectrics, and in ionic solutions with a unified integral equation method theoretical bases, computational implementation and numerical applications, J. Phys. Chem. B, 101 (1997) 10506. [Pg.47]

Schwab and Ketsch4 have developed a theory of the kinetics of contact catalysis based on the assumption that the active patches are located at such interfaces, using the term adlineation for adsorption there but though their assumption seems a very probable one, at any rate for many cases of promoter action, it is scarcely possible to test it by comparison of rates of reaction with a theoretically derived equation there are too many adjustable constants, and other factors. One of these is the rate of surface diffusion to the active linear interfaces, or other active patches, which as many writers have pointed out, may be very considerable.5... [Pg.244]

When N is calculated from a chromatogram, L and W must be converted to time-based units, terms cancel, and the theoretical plate equation is simply... [Pg.87]

The previous sections discussed the normal, theoretically based rate equations. The experimental determination of kinetics is discussed in more detail in Chapter 5. The following points are some of the possible difficulties found in practice ... [Pg.21]

If both size fractions of the ion exchanger are present simultaneously in the solution, the rate curves shown in Fig. 5 are obtained. They reveal that in this case the solution has reached equilibrium after about 600 s. After this time interval, however, the ion-exchanger particles have (with respect to their eventual equilibrium) sorbed either too much Cs (0.04-cm firaction) or too little (0.08-cm fraction). They subsequently approached their equilibrium (U = 1) so slovdy that 95% of the equilibrium value is reached only after 50,000 s. Equation (32) can now be applied for a comparison of the experimental results with the theoretically based predictions. For this purpose first Eqs. (33) and (29) are used first... [Pg.247]

FigureJ.lO Theoretical relationships between and mobile phase pH. The curves have been simulated according to following relationships weak acids, equation (3.20), with ha = 10, /c a- = 1.5, pAa = 4 weak bases, equation (3.21), with = 2, = 12, pAa = 9 ampho-... FigureJ.lO Theoretical relationships between and mobile phase pH. The curves have been simulated according to following relationships weak acids, equation (3.20), with ha = 10, /c a- = 1.5, pAa = 4 weak bases, equation (3.21), with = 2, = 12, pAa = 9 ampho-...

See other pages where Theoretically Based Equations is mentioned: [Pg.81]    [Pg.105]    [Pg.197]    [Pg.81]    [Pg.105]    [Pg.197]    [Pg.538]    [Pg.211]    [Pg.303]    [Pg.245]    [Pg.386]    [Pg.39]    [Pg.8]    [Pg.364]    [Pg.54]    [Pg.68]    [Pg.43]   


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Equation-based

Theoretical Bases

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