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Mixtures, properties

Equations for the mixture properties of an ideal solution foUow immediately. [Pg.497]

Although the Pitzer correlations are based on data for pure materials, they may also be used for the calculation of mixture properties. A set of recipes is required relating the parameters T, Pc, and (0 for a mixture to the pure-species values and to composition. One such set is given by Eqs. (2-80) through (2-82) in Sec. 2, which define pseudopa-rameters, so called because the defined values of T, Pc, and (0 have no physical significance for the mixture. [Pg.526]

The coefficient Bij characterizes a bimolecular interaction between molecules i and J, and therefore Bij = Bji. Two lands of second virial coefficient arise Bn and By, wherein the subscripts are the same (i =j) and Bij, wherein they are different (i j). The first is a virial coefficient for a pure species the second is a mixture property, called a cross coefficient. Similarly for the third virial coefficients Cm, Cjjj, and are for the pure species and Qy = Cyi = Cjn, and so on, are cross coefficients. [Pg.529]

A wide variety of physical properties are important in the evaluation of ionic liquids (ILs) for potential use in industrial processes. These include pure component properties such as density, isothermal compressibility, volume expansivity, viscosity, heat capacity, and thermal conductivity. However, a wide variety of mixture properties are also important, the most vital of these being the phase behavior of ionic liquids with other compounds. Knowledge of the phase behavior of ionic liquids with gases, liquids, and solids is necessary to assess the feasibility of their use for reactions, separations, and materials processing. Even from the limited data currently available, it is clear that the cation, the substituents on the cation, and the anion can be chosen to enhance or suppress the solubility of ionic liquids in other compounds and the solubility of other compounds in the ionic liquids. For instance, an increase in allcyl chain length decreases the mutual solubility with water, but some anions ([BFJ , for example) can increase mutual solubility with water (compared to [PFg] , for instance) [1-3]. While many mixture properties and many types of phase behavior are important, we focus here on the solubility of gases in room temperature IFs. [Pg.81]

The chemical literature is rich with empirical equations of state and every year new ones are added to the already large list. Every equation of state contains a certain number of constants which depend on the nature of the gas and which must be evaluated by reduction of experimental data. Since volumetric data for pure components are much more plentiful than for mixtures, it is necessary to estimate mixture properties by relating the constants of a mixture to those for the pure components in that mixture. In most cases, these relations, commonly known as mixing rules, are arbitrary because the empirical constants lack precise physical significance. Unfortunately, the fugacity coefficients are often very sensitive to the mixing rules used. [Pg.145]

Gao, J., Matsumoto, Y, and Nishida, K., Effect of Injection Pressure and Nozzle Hole Diameter on Mixture Properties of D.I. Diesel Spray, JSAE, 20065442, 2000. [Pg.197]

In Chapter 4.2, S. Ishizuka presents his recent experimental and theoretical results on flame propagation along a vortex core. The validity of the existing models linking flame speed, vortex parameters, and mixture properties is discussed in the light of experimental results. [Pg.229]

Bourquin J, Schmidli H, van Hoogevest P, Leuenberger H. Pitfalls of artificial neural networks (ANN) modelling technique for data sets containing outlier measurements using a study of mixture properties of a direct compressed tablet dosage form. Eur J Pharm Sci 1998 7 17-28. [Pg.699]

By Dalton s law, Equation (2.9), the mixture pressure, p, is Y i= Pi- The ternl Y I PiVjhj is sometimes considered to be a heat flow rate due to the transport of enthalpy by the species. (This is not the same as q" arising from VT which is called the Dufour effect and is generally negligible in combustion.) With the exception of the enthalpy diffusion term, all the sums can be represented in mixture properties since ph = Ya i Pihi However, it is convenient to express the enthalpies in terms of the heat of formation and specific heat terms, and then to separate these two parts. [Pg.63]

Ketone synthesis, 72 173-174 73 667-668 Ketone-water azeotropes, 74 563 Ketone-water mixture properties, 74 568-569t Ketose, 4 696... [Pg.503]

This sub-problem considers the mixture properties. Mixture properties can be categorized into two types. Properties such as selectivity, solvent power etc., are based on infinite dilution activity coefficients, which are independent of composition and hence only structural information is needed for their calculation. Properties such as complete or partial miscibility of solvent with another constituent is handled by discritizing the composition range from 0 to 1 into n divisions and verifying the miscibility criterion at those points. The difference between pure component property constraints and mixture property constraints is that the former are linear and the latter are non-linear. Those satisfying the mixture property constraints are further analyzed in sub-problem 4. [Pg.124]

Sub-problem 3M considers the mixture property constraints. The molecules from sub-problem 2M are considered in this sub-problem. The starting point is a list of promising solvents. From this list of solvents, the optimal mixture and the compositions of the constituents are identified by solving sub-problem 4M and sub-problem 5M. Since the first three sub-problems in the mixture design involves designing pure component solvents, these sub-problems are essentially the same as the first three sub-problems in single compound design. [Pg.125]

Since we do not have any mixture property constraints related to single compound design this sub-problem was ignored. [Pg.134]

Step 2 Initial Search - generate initial list of candidates through a search of a database (if available, for example, CAPEC database). This provides a good idea of which types of molecules one should be looking for. Note that the search should be made only with respect to the pure component target properties as a search with respect to mixture properties may not be possible. [Pg.436]

Mixture property Define the model to be used for liquid activity coefficient calculation, specify the binary mixture (composition, temperature, pressure), select the solute to be extracted, the type of phase equilibrium calculation (VLE or LLE) and finally, specify desired solvent performance related properties (solvent power, selectivity, etc.)... [Pg.439]

Azeotrope/Miscibility Calculations j Biodegradation Calculations Temperature depd. props. j Mixture Properties... [Pg.446]

For mixture properties, use the following linear mixing rules ... [Pg.454]

Its precise basis in statistical mechanics makes the virial equation of state a powerful tool for prediction and correlation of thermodynamic properties involving fluids and fluid mixtures. Within the study of mixtures, the interaction second virial coefficient occupies an important position because of its relationship to the interaction potential between unlike molecules. On a more practical basis, this coefficient is useful in developing predictive correlations for mixture properties. [Pg.361]

The model presented here develops these ideas and introduces features which make the calculation of mixture properties simple. For a polar fluid with approximately central dispersion forces together with a strong angle dependent electrostatic force we may separate the intermolecular potential into two parts so that the virial coefficients, B, C, D, etc. of the fluid can be written as the sum of two terms. The first terms B°, C°, D°, etc, arise from dispersion forces and may include a contribution arising from the permanent dipole of the molecule. The second terms contain equilibrium constants K2, K, K, etc. which describe the formation... [Pg.443]

Abstract Isotope effects on the PVT properties of non-ideal gases and isotope effects on condensed phase physical properties such as vapor pressure, molar volume, heats of vaporization or solution, solubility, etc., are treated in some thermodynamic detail. Both pure component and mixture properties are considered. Numerous examples of condensed phase isotope effects are employed to illustrate theoretical and practical points of interest. [Pg.139]


See other pages where Mixtures, properties is mentioned: [Pg.275]    [Pg.451]    [Pg.485]    [Pg.2554]    [Pg.491]    [Pg.327]    [Pg.870]    [Pg.16]    [Pg.342]    [Pg.350]    [Pg.25]    [Pg.203]    [Pg.89]    [Pg.122]    [Pg.123]    [Pg.123]    [Pg.127]    [Pg.129]    [Pg.439]    [Pg.442]    [Pg.446]    [Pg.322]    [Pg.441]    [Pg.444]    [Pg.311]    [Pg.65]   
See also in sourсe #XX -- [ Pg.64 , Pg.65 , Pg.66 , Pg.67 , Pg.68 , Pg.69 , Pg.70 ]

See also in sourсe #XX -- [ Pg.4 , Pg.6 , Pg.99 ]




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