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Temperature Dependency of the Parameters

The parameters in the local composition models can be considered temperature independent, at least for modest temperature ranges of about 30-40°C, without a significant loss of accuracy in the obtained activity coefficient values those of the Wohl-type models, however, cannot. This is extremely important for distillation calculations, where a single set of parameters can successfully describe the VLE behavior for the whole temperature range, from the top to the bottom of the column. [Pg.476]

In spite of this variation, probably due to compensating effects, the assumption of temperature independency provides good results as suggested in Table 13.4. Notice that use of temperature-dependent parameters does not provide a significant improvement in the correlation of the binary data. [Pg.477]

finally, that even though the model parameters are assumed to be temperature independent, the calculated activity coefficients are not, since the parameters are divided by the term (RT). [Pg.477]

Local composition models, as suggested by the expressions for the activity coefficient in multicomponent systems, provide description of multi-component VLE behavior using binary parameters only. These parameters, in turn, can be evaluated from the corresponding binary data and, consequently, multicomponent VLE information - that is very scarce in the literature - can be predicted. The Wohl-type models, on the other hand, require at least ternary parameters, as Eq. 13.11.1 indicates. [Pg.478]

This predictive capability of the local composition models - considering the large number of available binary data - is extremely important in practice, because industrial applications require multicomponent data in the typical case. [Pg.478]


When there are sufficient data at different temperatures, the temperature dependence of the parameters is reflected in the confidence ellipses (Bryson and Ho, 1969 Draper and Smith,... [Pg.44]

It is known [37,38] that conformational and phase transitions of water-soluble temperature-responsive polymers significantly influence the molecular dynamics of water molecules. Therefore, the studies of temperature dependence of the parameters capable of reflecting such mobility are of signifi-... [Pg.123]

Fig. 8. Temperature dependence of the parameter in Eq. (3.8) in semilog coordinates for plastisols I and II... Fig. 8. Temperature dependence of the parameter in Eq. (3.8) in semilog coordinates for plastisols I and II...
Figure 5 (A) Temperature dependence of the parameter I /If obtained from the spectra of 9-heptadecanone (9HP) incciporated in hydrated DHPC bilayers containing different cholesterol concentrations 0 mol % (+) 8 mol % (o) 29 mol % ) and 45 mol % ( ) (B) Temperature dependence of the symmetric CHj stretching band of DHPC in the same samples described in (A). Figure 5 (A) Temperature dependence of the parameter I /If obtained from the spectra of 9-heptadecanone (9HP) incciporated in hydrated DHPC bilayers containing different cholesterol concentrations 0 mol % (+) 8 mol % (o) 29 mol % ) and 45 mol % ( ) (B) Temperature dependence of the symmetric CHj stretching band of DHPC in the same samples described in (A).
The free-energy character of F reflects the intrinsic or equilibrium temperature dependence of the parameters A, Ku and Ms. Furthermore, these... [Pg.58]

Due to the temperature dependence of the parameters Ap AL, pBB and pBL, an apparent activation energy, EA, results which deviates more or less from the reference value of 86.923 kJ mol-1. [Pg.175]

Because of the temperature dependencies of the parameters the rate expression may change depending on the operation temperature. Strongly adsorbing components occupy less sites with increasing temperatures... [Pg.313]

Figure 1.6. Temperature dependencies of the parameters of the 2-mm band ESR spectrum of spin-labeled lysozyme (a) 3-cm band spectrum, 150 K (b) 3-mm band spectrum, 150 K (c) effect of temperature (Krinichny et al., 1987). Reproduced with permission. Figure 1.6. Temperature dependencies of the parameters of the 2-mm band ESR spectrum of spin-labeled lysozyme (a) 3-cm band spectrum, 150 K (b) 3-mm band spectrum, 150 K (c) effect of temperature (Krinichny et al., 1987). Reproduced with permission.
Figure 3.16. Temperature dependences of the parameters of physical labels on chromotophores from R. rubrum (a) Shematic diagram of the locations of spin and triplet labels, (b) Experimental data t n is the characteristic time of electron transfer from the reduced primary acceptor to the oxidized primary donor (Likhtenshtein, et al., 1996). Reproduced with permission. Figure 3.16. Temperature dependences of the parameters of physical labels on chromotophores from R. rubrum (a) Shematic diagram of the locations of spin and triplet labels, (b) Experimental data t n is the characteristic time of electron transfer from the reduced primary acceptor to the oxidized primary donor (Likhtenshtein, et al., 1996). Reproduced with permission.
Figure 13. The temperature dependence of the parameter im ( left axis) and A (A right axis), obtained by the fitting of the relaxation law (25) to the experimental data. (Reproduced with permission from Ref. 2. Copyright 2002, Elsevier Science B.V.)... Figure 13. The temperature dependence of the parameter im ( left axis) and A (A right axis), obtained by the fitting of the relaxation law (25) to the experimental data. (Reproduced with permission from Ref. 2. Copyright 2002, Elsevier Science B.V.)...
Given the good interpolation of the susceptibility spectra by the GGE distribution we can focus on the temperature dependence of the parameters. We compiled the results from analyzing DS spectra of several type A glass formers [6,136,137,142,230,273,275], Note that the glass formers trimethyl phosphate (TMP, [230,275]), 3-fluoro aniline (FAN, [142]) and methyl tetrahydrofuran (MTHF, [331]) show both the excess wing and a p-process (cf. Fig. 35). In this... [Pg.188]

Figure 30. Temperature dependence of the parameters P and y of the GGE distribution Eq. (36). (a) p and y are shown for the glass formers glycerol (GLY) and propylene carbonate (PC). In addition P/c (crosses) shows that i x y holds in good approximation. For clarity data sets of the Augsburg and Bayreuth group are not distinguished, (b) y (open symbols) and P/c (full symbols) for 2-picoline (2-PIC), trimethyl phosphate (TMP), propylene glycol (PG), 3-fluoro aniline (3-FAN), methyl tetrahydrofuran (MTHF), m-tricresyl phosphate (m-TCP) and ethylene glycol (EG) c = 3.0 0.5. Figures taken from Ref. [275],... Figure 30. Temperature dependence of the parameters P and y of the GGE distribution Eq. (36). (a) p and y are shown for the glass formers glycerol (GLY) and propylene carbonate (PC). In addition P/c (crosses) shows that i x y holds in good approximation. For clarity data sets of the Augsburg and Bayreuth group are not distinguished, (b) y (open symbols) and P/c (full symbols) for 2-picoline (2-PIC), trimethyl phosphate (TMP), propylene glycol (PG), 3-fluoro aniline (3-FAN), methyl tetrahydrofuran (MTHF), m-tricresyl phosphate (m-TCP) and ethylene glycol (EG) c = 3.0 0.5. Figures taken from Ref. [275],...
Providing a satisfying interpolation of the susceptibility minimum, the temperature-dependence of the parameters %[ nm(T) and vmln(Tj (i.e., the locus of the minimum), as well as that of xa(T), is expected to yield the critical temperature Tc [cf. Eq. (27)]. Again, all the exponents determining the... [Pg.221]

Eq. (6.81) implies that the atomic motion which causes the structural relaxation has a power law time dependence. The temperature dependence of the parameter P, measured from the relaxation data of Fig. 6.20, is given in Fig. 6.21 and follows the relation. [Pg.205]

This chapter shows that more thermodynamic information can be obtained for enzyme-catalyzed reactions for which Af H° is known for all the species in addition to Af G°. When Af H° is independent of temperature, Af G° of the species can be expressed as a function of temperature. Since the temperature dependence of the parameter in the Debye-Huckel equation is known, the Af G ° for a reactant can be derived as a function of temperature, pH, and ionic strength by use of derivetr-GibbsT, As shown in Chapter 3, this means that Af G Af H Af 5. and derivatives of these properties of reac-... [Pg.106]

Combining this relationship with the physical meaning of and 5m, one eventually gets the meaning and the temperature dependence of the parameters and ce ... [Pg.451]

Equation 1.14 incorporates the definition of the acentric factor and may also be used to predict the vapor pressure, once the acentric factor has been determined. Another route for calculating the vapor pressure is via an equation of state, as described below. In the Soave equation, co is used in formulating the temperature dependency of the parameter a, which may be considered as a function of both P and co. The function fl(P,co) was determined with the objective of fitting vapor pressures calculated by the equation of state to experimental pure component vapor pressure data. [Pg.17]

Temperature dependence of the parameters u, V, w and /S of the Six-Valley Model determined from the observed galvanomagnetic tensor components. [Pg.511]

Using eqs. (l)-(9), along with empirical pure-electrolyte parameters 3 ), 3 > 3 and and binary mixture parameters 0, one can reproduce experimental activity-coefficient data typically to a few percent and in all cases to + 20%. Of course, as noted above, the most accurate work on complex, concentrated mixtures requires that one include further mixing parameters and also for calculations at temperatures other than 25°C, include the temperature dependencies of the parameters. However, for FGD applications, a more important point is that Pitzer1s formulation appears to be a convergent series. The third virial coefficients... [Pg.61]

A few of the features and limitations of the cubic equation can be illustrated neatly by considering the critical isotherm. Since T is fixed, we need not concern ourselves with the temperature dependence of the parameters moreover, since T = Tc, we can use the critical constraints treated in the preceding section. The example which follows is inspired by a study reported by J. J. Martin (2), and I shall use the same data used by Martin values of Pr and Vr for argon at Tr = 1, read to within about dt 1% from graphs prepared by Costolnick and Thodos (4). [Pg.61]

As emphasized elsewhere 8), the Roginsky-Zeldovich equation is obeyed so frequently in chemisorption that for its interpretation in terms of any one chosen model, the mere linearity of trial plots such as those in Figs. 2 and 3 is not a particularly satisfactory criterion of validity. It is therefore important to examine the form of the pressure and temperature dependence of the parameters. [Pg.446]

Such a situation can be dealt with in two ways. The first way is to analyze the data as such. The temperature dependence of the rate parameters is then directly included into the continuity equation and the resulting equation is numerically integrated along the tube with estimates for the parameters. If the gas temperature profile itself is not available or insufiBciently defined, the energy equation has to be coupled to the continuity equation. To determine both the form of the rate equation and the temperature dependence of the parameters directly from nonisothermal data would require excessive computations. [Pg.400]

The two-parameter Redlich-Kwong equation has been found [ ] to represent P-V-T data with good precision, even at high gas densities. Enthalpy data are also well represented, as has been shown by Edmister and co-workers [ ]. This paper reports results from a study of the correlation of vapor-liquid equilibrium data by means of the Redlich-Kwong equation. It is found that in order to represent the vapor pressures of the pure components it is necessary to assume a temperature dependence of the parameters. However, it is found that only one additional parameter is required to represent the methane-nitrogen and helium-hydrogen systems. [Pg.168]

A calculation was first made with the assumption of temperature independence of the parameters in accordance with the Redlich-Kwong equation the results show the need for the assumption of temperature dependence of the parameters. The parameters bi and 62 were evaluated from the critical constants of methane or nitrogen with the relationship... [Pg.169]

This temperature dependence of the parameters can be relatively simple and only two vapor pressure points are necessary to determine the temperature dependence. These t o points can be taken as the critical pressure and the vapor pressure near the boiling point. The temperature relations for the parameters in addition to (8) are given as follows ... [Pg.171]

The complete temperature dependence of the parameters is given by IDlubek et al. [2005c]. [Pg.427]


See other pages where Temperature Dependency of the Parameters is mentioned: [Pg.533]    [Pg.417]    [Pg.426]    [Pg.201]    [Pg.65]    [Pg.458]    [Pg.202]    [Pg.148]    [Pg.30]    [Pg.93]    [Pg.359]    [Pg.278]    [Pg.133]    [Pg.170]    [Pg.667]    [Pg.348]    [Pg.15]    [Pg.94]    [Pg.41]    [Pg.678]    [Pg.167]    [Pg.537]    [Pg.24]   


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