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Mixing binary

When the range of chemieal types is restricted, regular behavior is often observed. For example, one might choose to study a series of hydroxylic solvents, thus holding approximately constant the H-bonding capabilities within the series. This is a motivation, also, for solvent studies in a series of binary mixed solvents, often an organic-aqueous mixture whose composition may be varied from pure water to pure organic. Mukerjee et al. defined a quantity H for hydroxylic and mixed hydroxyiic-water solvents by Eq. (8-17). [Pg.401]

Figure 7 shows the FOM of an AA cell and the PC content in EC/PC binary mixed-solvent electrolytes. With an increase in PC content, the lithium cycling efficiency (Eff) obtained with Li cycling on a stainless steel substrate increases. However, the FOM of the AA cell reaches its maximum value at EC/PC=1 9 [82], This result arises from the interaction between EC and the a-V205-P205 cathode. [Pg.352]

Preferential solvation of ions in binary mixed solvents. S. Janardhanau and C. Kalidas, Rev. Inorg. Chem., 1984, 6, 101,(91). [Pg.69]

Alves S, Schiano P, Capmas F, Allegre CJ (2002) Osmium isotope binary mixing arrays in arc volcanism. Earth Planet Sci Lett 198 355-369... [Pg.304]

Ricote, S., Jacobs, G., Milling, M., Ji, Y., Patterson, P.M., and Davis, B.H. 2006. Low temperature water-gas shift Characterization and testing of binary mixed oxides of ceria and zirconia promoted with Pt. Appl. Catal. A Gen. 303 35 47. [Pg.391]

Figure 3.10. Evolution of the inert composition PDF for binary mixing. Figure 3.10. Evolution of the inert composition PDF for binary mixing.
For homogeneous binary mixing of an inert scalar, the scalar mean will remain constant so that (e/>(x, t)) = (c/Tx, ())) = p. Thus, the rate of scalar mixing can be quantified in terms of the scalar variance ([Pg.84]

Turbulent mixing is primarily responsible for fixing the rate at which the composition PDF evolves in time. Molecular diffusion, on the other hand, determines the shape of the composition PDF at different time instants. In fact, binary mixing of an inert scalar is well represented by a beta PDF. [Pg.84]

Figure 5.8. The mixture-fraction PDF in turbulent flows with two feed streams (binary mixing) can be approximated by a beta PDF. [Pg.194]

The beta PDF is widely used in commercial CFD codes to approximate the mixture-fraction PDF for binary mixing. This choice is motivated by the fact that in many of the canonical turbulent mixing configurations (Fig. 5.8) the experimentally observed mixture-fraction PDF is well approximated by a beta PDF. However, it is important to note that all of these flows are stationary with Nmf = A m — 1 = 1, i.e., no linear mixture exists between the inlet conditions. The unmixed PDF is thus well represented by two peaks one located at % = 0 and the other at % = 1, which is exactly the type of behavior exhibited... [Pg.194]

In a CFD calculation, one is usually interested in computing only the reacting-scalar means and (sometimes) the covariances. For binary mixing in the equilibrium-chemistry limit, these quantities are computed from (5.154) and (5.155), which contain the mixture-fraction PDF. However, since the presumed PDF is uniquely determined from the mixture-fraction mean and variance, (5.154) and (5.155) define mappings (or functions) from (I>- space ... [Pg.198]

Likewise, the matrix M can be found using the method presented in Section 5.3 applied in the limiting case of a non-reacting system (i.e S = 0). In the simplest case (binary mixing), only one mixture-fraction component is required, and Mj is easily found from the species concentrations in the inlet streams. [Pg.201]

The usual initial and inlet conditions for binary mixing with parallel reactions are... [Pg.208]

Deterministic models that are non-linear in c will be limited to specific applications. For example, in the generalized IEM (GIEM) model (Tsai and Fox 1995a Tsai and Fox 1998), which is restricted to binary mixing, the mixture fraction appears non-linearly 61... [Pg.286]

However, if the correlation matrix p is rank-deficient, but the scalar dissipation matrix is full rank, the IEM model cannot predict the increase in rank of p due to molecular diffusion. In other words, the last term on the right-hand side of (6.105), p. 278, due to the diffusion term in the FP model will not be present in the IEM model. The GIEM model violates the strong independence condition proposed by Pope (1983). However, since in binary mixing the scalar fields are correlated with the mixture fraction, it does satisfy the weak independence condition. The expected value on the left-hand side is with respect to the joint PDF (c, f x, t). [Pg.286]

As shown in Chapter 5, the composition vector can be decomposed into a reaction-progress vector tp and the mixture-fraction vector. Here we will denote the reacting scalars by [Pg.303]

In general, if all (n = l,. .., A7e) are distinct, then A will be full rank, and thus a = A 1 /3 as shown in (B.32). However, if any two (or more) (< />) are the same, then two (or more) columns of Ai, A2, and A3 will be linearly dependent. In this case, the rank of A and the rank of W will usually not be the same and the linear system has no consistent solutions. This case occurs most often due to initial conditions (e.g., binary mixing with initially only two non-zero probability peaks in composition space). The example given above, (B.31), illustrates what can happen for Ne = 2. When ((f)) = ()2, the right-hand sides of the ODEs in (B.33) will be singular nevertheless, the ODEs yield well defined solutions, (B.34). This example also points to a simple method to overcome the problem of the singularity of A due to repeated (< />) it suffices simply to add small perturbations to the non-distinct perturbed values need only be used in the definition of A, and that the perturbations should leave the scalar mean (4>) unchanged. [Pg.398]

Natural equality constraints exist in many real systems. For example, consider a chemical reaction in which a binary mixed solvent is to be used (see Figure 2.15). We might specify two continuous factors, the amount of one solvent (represented by X,) and the amount of the other solvent ( 2). These are clearly continuous factors and each has only a natural lower bound. However, each of these factors probably should have an externally imposed upper bound, simply to avoid adding more total solvent than the reaction vessel can hold. If the reaction vessel is to contain 10 liters, we might specify the inequality constraints... [Pg.37]

Bertrand G. L., Acree W. E. Jr., and Burchfield T. (1983). Thermodynamical excess properties of multicomponent systems Representation and estimation from binary mixing data. J. Solution. Chem., 12 327-340. [Pg.820]

Studies of the nature of the interaction between bile salts and fatty acids have, to date, yielded only limited and contradictory information and are therefore only of limited use for affinity studies. Fatty acid molecules are clearly dissolved in the micellar phase and form a ternary mixed micelle with modified properties related to binary mixed micelles. [Pg.127]


See other pages where Mixing binary is mentioned: [Pg.16]    [Pg.269]    [Pg.161]    [Pg.503]    [Pg.27]    [Pg.182]    [Pg.204]    [Pg.205]    [Pg.440]    [Pg.83]    [Pg.84]    [Pg.180]    [Pg.201]    [Pg.305]    [Pg.3]    [Pg.12]    [Pg.13]    [Pg.15]    [Pg.18]    [Pg.32]    [Pg.39]    [Pg.112]    [Pg.134]    [Pg.131]   
See also in sourсe #XX -- [ Pg.64 , Pg.65 , Pg.161 , Pg.175 , Pg.179 , Pg.182 , Pg.189 , Pg.267 , Pg.284 , Pg.286 , Pg.379 ]

See also in sourсe #XX -- [ Pg.64 , Pg.65 , Pg.161 , Pg.175 , Pg.179 , Pg.182 , Pg.189 , Pg.267 , Pg.284 , Pg.286 , Pg.379 ]




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