Local Compositions In Thermodynamic Excess Functions For .

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Local Compositions in ThermodynamicExcess Functions for Liquid MixturesHENRI RENON and J. M. PRAUSNITZUniversity o f California, Berkeley, CaliforniaA critical discussion i s given of the use of local compositions for representation of excessGibbs energies of liquid mixtures. A new equation is derived, based on Scott's two-liquidmodel and on an assumption of nonrandomness similar to that used by Wilson. For the sameactivity coefficients a t infinite dilution, the Gibbs energy of mixing is calculated with thenew equation as well as the equations of van Laar, Wilson, and Heil; these four equations givesimilar results for mixtures of moderate nonideality but they differ appreciably for stronglynonideal systems, especially for those with limited miscibility. The new equation contains anonrandomness parameter a12 which makes it applicable to a large variety of mixtures. Byproper selection of a12, the new equation gives an excellent representation of many types ofliquid mixtures while other local composition equations appear to be limited to specifictypes. Consideration i s given to prediction of ternary vapor-liquid and ternary liquid-liquidequilibria based on binary data alone.Interpolation and extrapolation of thermodynamic datafor liquid mixtures are common necessities in chemical engineering. The model of ideal solutions is useful for providing a first approximation and a reference, but deviations from ideality are frequently large. These deviationsare expressed by excess functions which depend on theconcentrations of the components and on the temperature.As shown by Wohl ( 2 5 ) , excess functions have commonly been expressed by algebraic expansions of molefractions with arbitrary, temperature-dependent coefficientswhich are obtained by fitting experimental data. In theseexpansions, as many terms and parameters as necessaryare introduced in order to represent the experimental data.A few years a o Wilson ( 2 4 ) showed that the excessGibbs energy cou d be conveniently expressed by an algebraic function of local composition and in his final equationWilson used local volume fractions. Subsequently Orye( 1 1 ) showed that Wilson's equation is useful for representing equilibrium data for a wide variety of liquid mixtures.While Wilson's equation represents one particular example of using local compositions, other examples can bereadily constructed; for example, Heil (7) recently showedhow a modified form of Wilson's equation can be usedsuccessfully to represent equilibria in polymer solutions.We present here a critical discussion of the use of localcompositions, derive a new equation based on Scott's twoliquid model theor , and compare experimental data withresults calculated rom several models. We consider bothvapor-liquid and liquid-liquid equilibria, including ternarysystems.glrTHE WILSON AND H E I L E Q U A T I O N STo take into account nonrandomness in liquid mixtures,Wilson ( 2 4 ) suggested a relation between local mole fraction x i 1 of molecules 1 and local mole fraction x21 of molecules 2 which are in the immediate neighborhood of molecule 1:X2lx 2 exp ( - g 2 1 / R T )- (1)X I XI exp ( - g d R T )where g 2 1 and g 1 1 are, respectively, energies of interactionbetween a 1-2 and 1-1 pair of molecules ( g 1 2 gzi).The overall mole fractions in the mixture are x 1 and xg.Vol. 14, No. 1Wilson obtained an expression for the excess Gibbs energy by analogy with the Flory-Huggins expression forathermal mixtures, where he replaces overall volume fractions by local volume fractions:gE/RT x 1 In(511/x1) where the local volume fractionsfrom Equation (1):x2511In(522hZ)and522are derivedx1ti1 andf22expx2 (u2/u1)gd/W(-(g21-x2 x2 XI(01/ 2)(2)(3)(4)exp (-(glz-g22)/fiT)In these equations the 0's are the molar volumes.Heil (7) pursued the original analogy further and proposed an expression for the excess Gibbs energy similarto the Flory-Huggins equation for nonathermal mixtures.The Heil equation was derived for polymer solutions; ithas the following form for solutions of small molecules:gE/RT XI in ( t d x ) x2 In ( 5 ' 2 2 / 4 gz1-RT611Xd21 g12- g22RTx25'12where 5,21 1 - 511 and f12 1 - f z .Both Equations ( 2 ) and (5) are useful, semiempiricalrelations for thermodynamic excess functions; both equations contain only two adjustable parameters per binary,( g 2 1 - gll) and ( g 1 2 - g 2 2 ) , and both are readily generalized to solutions containing any number of components.However, the derivations of both equations contain twoessentially arbitrary steps: the relation between the localmole fractions, Equation ( l ) , and the introduction oflocal compositions into the Flory-Huggins equation. Asomewhat more satisfactory way to define and use localcompositions is shown below. We shall return later to theWilson and Heil equations.T H E NONRANDOM,TWO-LIQUID E Q U A T I O NTo define the local composition, we make an assumptionsimilar to that of the quasichemical theory of GuggenheimAlChE JournalPage 135

(6). To obtain an expression for the excess Gibbs energy,we use Scott’s two-liquid theory of binary mixtures.To take into account nonrandomness of mixing, we assume that the relation between the local mole fractions x21and xll is given by a modification of Equation ( 1 ) :- -XZIXPX I XIexp (--12g21/RT)exp (--12gu/RT)(6)where “12 is a constant characteristic of the nonrandomness of the mixture. Interchanging subscripts 1 and 2, wealso have 1 2 XI exp (- lzglz/RT)- (7)xzzxz exp (- mg2dRT)The local mole fractions are related byX21XI2 Xll 1(8)X22 1(9)To show the similarity of our assumption with that ofthe quasichemical theory, we take the product of Equations ( 6 ) and (7) (noting that glz gzl) and obtainMOLECULE 2 AT CENTERMOLECULE 1 AT CENTERFig. 1. Two types of cells according to Scott’s two-liquid theory ofbinary mixtures.From Equations (6) and (8), we obtain for the localmole fractionxz exp (- wz(gz1- gn) / R T )X21 (13)XIx2 exp (- wz(gz1- gll)/RT) and similarly from Equations (7) and (9)Equations (8) and (9), substituted into Equation ( l o ) ,yieldX2IX12 (1- 3 2 1 ) ( 1 - X U ) exp (-a12(2g12 - gu - gzz)/RT)(11)On the other hand, the assumption of nonrandomness inthe quasichemical theory of Guggenheim (6) can bewritten as’ 2 1 x 1 2 (1- XZI) ( 1 - 1 2 )exp1 (2w12--11-w22)/AT)(--(12)We now introduce Equations (13) and (14) into thetwo-liquid theory of Scott (18) which assumes that thereare two kinds of cells in a binary mixture: one for molecules 1 and one for molecuIes 2, as shown in Fi ure 1. Forcells containing molecules 1 at their centers, t e residualGibbs energy (that is, compared with the ideal gas atthe same temperature, pressure, and composition) is thesum of all the residual Gibbs energies for two-body interactions experienced by the center molecule 1. The residualGibbs energy for a cell containing molecule 1 at its centeris g“) and it is given by81g“’ xllgll 4-Xzlgzlzwhere z is the coordination number of the lattice and Wlz,W1l, Wzz are, respectively, the molar potential energiesof interaction of 1-2, 1-1, and 2-2 pairs.Comparison of Equations (11) and (12) shows thesimilarity between the two assumptions; a12 is the substitute for l/z. However, the energies g,j in Equation (11)are Gibbs energies, whereas the energies Waj in Equation(12) are potential energies.As discussed by Guggenheim, the quasichemical theoryunderestimates the effect of nonrandomness in solutions.Since z is of the order 6-12, we expect that a12 is a positiveconstant of the order 0.1 or 0.3. Although the similaritybetween Equations (11) and (12) suggests a theoreticalbasis for our assumption [Equations ( 6 ) and ( 7 ) ] ,it is,however, different from Guggenheim’s agsumption because we do not use a lattice model, and we consider a12as an empirical constant, independent of temperature. Thephysical significance of a12 becomes obscure when a12exceeds (approximately) 0.3. Empirically, we find valuesof a12 larger than 0.3 for some mixtures, especially forassociated mixtures for which Guggenheim’s theory is notapplicable.molecule 1 at its center,-Page 136(1)gpllre, is(1)gpure gll(16)Similarly, for a cell containing a molecule 2 at its centerg‘2’ x1zg12and (17)xzzg22(2)gpure gzz(18)The molar excess Gibbs energy for a binary solution isthe sum of two changes in residual Gibbs energy: first,that of transferring XI molecules from a cell of the pure(1)(1)liquid 1 into a cell 1 of the solution, (g - gpure)xt,andsecond, that of transferring x2 molecuIes from a celI of thepure liquid 2 into a cell 2 of the solution, (gTheref oreE(1)g XI( * Equation (4.09.1) in reference 6 p. 38, is:(12.1)x a (ivl x ) ( N - xi exp ( - 2 TI)2where N l N a are the number of molecules 1 and 2 in the solution (Xz)the numder of 1-2 interactions, w the interchange energy defined’by2w Z(2WIZ - W l l - W B )where. in turn, WZZ, wn, and w s are the potential energies for interactions 1-2, 1-1, and 2-2 on the lattice. The term ( z w i )is the energy ofinteraction of a molecule 1 with all its neighbors in pure liquid 1. Equation ( 1 2 ) is obtained by dividing both sides of Equation (12.1) by NU%and introducing molar quantities in the exponential.(15)If we consider pure liquid 1, x11 1 and x21 0. In thiscase, the residual Gibbs energy for a cell containing a(1)-gpnre)(2)(2)-(2)gpure)r2.(2) xz(g-gpure}(19)Substituting Equations (8), (9), (15), (16), (171, and( 18) into Equation (19), we obtaingE l z l g z l - g i l )w12(g12-g22)(20)where x21 and 3 12are given by Equations (13) and (14).We call Equation (20), coupled with Equations (13)and ( 14), the NRTL (nonrandom, two-liquid) equation.AlChE JournalJanuary, 1968

TABLE1. VALUESThe activity coefficients for the NRTL equation arefound by diiierentiation of Equation (20) they areOFEquationP4WilsonHeilNRTL011* 0111 11p, 4, Pij,ANDOijP ij11U,/V3VJVj01W C . -'-' - O1-llX1GENERAL FUNDAMENTAL EQUATIONFor comparison, it is convenient to generalize the Wilson, Heil, and NRTL equations. To simplify the notation,letGIZ P I Z exp (- a 1 2 d(25)GZI P Z exp (-(26)The generalized expression for the excess Gibbs energyof a binary mixture is-gE -RTq[XIIn(XI I Z Z I ) xzGzd xz In x 1 G d I ] (27)xi xzG21 xz (XZ712G12xiGizThe Wilson, Heil, and NRTL equations follow from2a12 theEquation (27) by substituting for p, q, 1 andvalues indicated in Table 1, taking i 1 and i 2.The adjustable parameters are (g12 - g22) and (gzl g11). We may consider a12as a third adjustable parameteror, as discussed later, set it at a predetermined value. Forthe Wilson equation, independent specification of liquidmolar volumes is not strictly necessary since GI2 and G21can be taken as adjustable temperature-dependent parameters.We now indicate some properties of Equation (27).The activity coefficients are found by appropriate differentiation; they are2 , Glz, and G2l are given, respectively, inwhere 721,Equations (23), (24), (25), and (26).A condition for phase instability is that for Ag', themolar Gibbs energy of mixing(Eg , ofor at least one vaIue of x1 in the interval zero to one.Substituting Equation (25) into Equation (30), we obtainVol. 14, No. 1(31)XZEquation (31) immediately shows why Wilson's equation is not compatible with phase instability. Substitutingthe parameters given in the first horizontal row of Table1, all terms on the left-hand side of Equation (31) aregreater than zero and therefore Equation (31) can neverbe satisfied. As mentioned by Wilson ( 2 4 ) , his equationcannot account for partial miscibility.We now want to compare the Wilson, Heil, and NRTLequations with each other and with the van Laar equation.To facilitate this comparison we consider symmetric systems.SYMMETRIC SYSTEMSWe call those binary systems symmetric for which theexcess Gibbs energy is not changed if we change x to(1 - x ) . We also assume that v p ul. The conditionfor symmetr in the local composition equations is theequality of t e parameters '12 and 721, and we notehy712(32) 721 TWe write the van Laar equation in the form(33)where A and B are temperature-dependent parameters.For a symmetric system A B, Equation (33) is thenidentical with the two-suffix Margules and Redlich-Kisterequations.For the NRTL equation, we need to specify the constant a12.In our comparison, we consider two values ofa12, namely, 0.50 and 0.25; the two corresponding equations are designated, respectively, by NRTL (0.50) andNRTL (0.25).We define the parameter a as follows:a A for the van Laar equationa 27 for Heil's equationa 7 for Wilson's equation and the NRTLequationAll these equations become asymptotically equivalentfor small values of the parameter a. In each case, the firstterm in the power series expansion of g E / R T in terms ofa is 2 1 x 2 .Figure 2 presents a comparison of the four symmetricequations. In all four equations, the parameters a areselected such that, for each one, at infinite dilutionAlChE Journaly1a y2'Q 11.0Page 137

gERT0.501.0MOLE FRACTION XFig. 2. Excess Gibbs energy and Gibbs energy of mixing for symmetricsystems with the same activity coefficients a t infinite dilution.The slopes for x 0 and x 1 are the same for allequations but, as is evident in the central part of the diagram, the excess Gibbs energy decreases in the order: vanLaar, NRTL (0.25), Heil, Wilson, NRTL (0.50); in thesame order, the curves become more and more flat near themaximum. An important consequence of this tendency isseen in the lower art of Figure 2, where the Gibbs enof mixing is s own. For the van Laar, NRTL (0.25):in Heil equations, iipresents a maximum and twominima; this indicates t at phase splitting occurs. The mu-cry[iMtual solubilities are small in the case of the van Laar equation and become larger with the NRTL (0.25) and Heilequations. However, the Wilson and NRTL (0.50) equations do not show phase instability. Although all fiveequations give the same activity coefficients at infinitedilution, three of them predict the existence of two liquidphases and two of them do not.Figure 2 indicates a very important property of thelocal composition equations. Compared with the van Laarequation, and for the same nonideality at infinite dilution,the local composition equations have lower maxima of theexcess Gibbs energy, thereby reducing the tendency toward immiscibility.Figure 3 shows how the change of curvature of the excess Gibbs energy is related to the degree of nonidealityof the mixture. To characterize the nonideality, we plot onthe abscissa the logarithm of the activity coefficient at infinite dilution, while on the ordinate we plot the logarithmof the activity coefficient for either component in an equimolar mixture. A decrease of the activity coefficient in anequimolar mixture corresponds to a flatter excess Gibbsenergy curve in Figure 2. The general trend shown inFigure 2 remains; the equations give flatter curves in theorder: van Laar, NRTL (0.25), Heil, Wilson, and NRTL(0.50). This effect is not significant for nearly ideal solutions but it becomes appreciable when In y m 1.4 andit becomes increasingly important as the degree of nonideality rises. When the activity coefficient at infinitedilution becomes very large, the activity coefficient in anequimolar mixture increases linearly with y m in the vanLaar equation, reaches a maximum in the Heil and NRTLequations and an asymptotic limit in the Wilson equation.In Figure 3 unstable liquid phases at equimolar concentration are indicated by dashed lines. The minimumactivity coefficient at infinite dilution required for phaseinstability is lowest in the van Laar equation (In y m 2 )followed by the Heil equation (In 7" 2.18); it is variable in the case of the NRTL equation, increasing fromIn y m 2 when "12 0 to In y m 2.94 when 0112 0.426. For a12 0.426 phase instability does not occurat all.The activity coefficient at infinite dilution is a monotonic, increasing function of a for all the equations considered here; therefore the parameter a is also a measureof the degree of nonideality of the mixture. Figure 4shows the variation with a of the activity coefficient of anequimolar mixture, indicating also the minimum value ofu which is required for phase splitting. In Figure 4 the1.00.8-G0.6Nx-2-0.4b40.2NORMALIZED PARAMETER aFig. 3. Activity coefficient for symmetric equimolar mixture as afunction of activity coefficient a t infinite dilution.Page 138Fig. 4. Activity coefficient for symmetric mixture as a function ofnormalized parameter a.AlChE JournalJanuary, 1968

relative position of the curves representing the NRTLequation for different values of a12 illustrates the effectof nonrandomness. For the same value of a, the lower excess Cibbs energy for equimolar mixtures if a12is larger,is due only to the reduction of the number of 1-2 interactions caused by the reduction of nonrandomness. According to the position of their curves in Figure 4, wecan say that nonrandomness is taken into account moreseriously by Wilson's equation than by Heil's equation.sum-of-squares of relative deviation in pressure plus thesum-of-squares of deviations in vapor phase mole fraction(whenever available) for all data points. The calculationmethod used is similar to the one suggested by Prausnitzet al. (13).Since deviations come from both the scatter of the dataand from the inadequacy of the equation, they cannot provide directly a measure of the adequacy of the equation.Only a comparison of the deviations obtained from different equations with the same set of data gives an indication of relative adequacy of different equations.We call Sy the root-mean-square deviation of experimental from calculated vapor phase mole fractions, and 6Pthe root-mean-square relative deviation of calculated fromexperimental pressures. We have calculated SP and Sy fora large number of isothermal vapor-liquid data and someisobaric data; the detailed results (16, Appendix G ) aresummarized in Table 2, where we have grouped the systems in the categories described below.Type I includes those systems where deviations fromideality are not large, although they may be positive ornegative.IgE (maximum)l 0.35 RT(33)Most of the currently available vapor-liquid data fall inthis category. We distinguish three subtypes :Type Ia includes most mixtures of nonpolar substancessuch as hydrocarbons and carbon tetrachloride, but mixtures of fluorocarbons and paraffins are excluded.Type I b includes some mixtures of nonpolar and poIarnonassociated liquids, for example, n-heptane-methylethylketone, benzene-acetone, and carbon tetrachloride-nitroethane.Type Ic includes some mixtures of polar liquids: somewith negative excess Gibbs energy, for example, acetonechloroform and chloroform-dioxane, and some with positive, but not large, excess Gibbs energy, for example, acetone-methyl acetate and ethanol-water.Table 2 shows Sy and 6P for each of these subtypes.The comparison indicates that all the equations are equallygood for these systems. For the NRTL equation, the rootmean-s uare deviations are not affected by the valueselecte for a12in the range 0.2 to 0.5; vapor-liquid dataare usually not precise enough to indicate the nonrandomness of mixtures of this type because the effect of nonrandomness on the shape of the excess Gibbs energy curveis not strong. We recommend a 1 2 0.30.Type I1 includes mixtures of saturated hydrocarbonswith polar nonassociated liquids, as, for instance, n-hexane-acetone or isooctane-nitroethane. Phase splittin occurs at a relatively low degree of nonideality a n t thenonrandomness, as measured by ( 1 2 , is small. Values ofSy and SP for nine mixtures, given in Table 2, show thatNONSYMMETRIC SYSTEMSFor the NRTL equation, unsymmetric systems are thosewhere 7 1 2 is different from 721, and for the Wilson equation unsymmetric behavior results when G12 is differentfrom 6 2 1 . For the Heil equation, lack of symmetry canbe caused either by different molar volumes or by unequal 7 1 2 and T For . the van Laar equation, unsymmetricsystems are those where A is different from B. All equations can satisfactorily represent unsymmetric systems;however, the van Laar equation cannot represent systemswhere the logarithms of the activity coefficients at infinitedilution have different signs. As for symmetric systems, thefour equations are not equivalent for unsymmetric systemseven when these equations are normalized such that foreach component i, y i mis the same for each equation.Turning again to the NRTL equation, the activity coefficient at infinite dilution y l m depends primarily on r21,while yzm depends primaril on 712. For yzm y 1 @ ,it isnecessary that 7 1 2 721 an vice versa. Therefore we cansay that the lack of symmetry of a system (more precisely, the skewness of the Gibbs energy curve) is relatedto the difference between r12 and 721, while, for moderately unsymmetric systems, the degree of nonideality isrelated mainly to their sum. The flatness of the Gibbs energy curve is related to 0112.dREPRESENTATION OF BINARY VAPOR-LIQUID DATAWe now turn to a comparison of calculated results withexperimental data and we first consider binary mixtures.The most strongly nonideal mixtures provide the best testbecause the equations then differ most.Vapor-liquid data at low pressure for selected systemswere fitted with each of the equations to show their relative advantages. Vapor-phase nonideality corrections werecalculated from an empirical correlation for the secondvirial coefficient ( 1 0 ) . In all calculations the saturationpressures of the pure components were those reported inthe articles from which the data are taken; they are givenelsewhere, together with the value of the parameters (16,Appendix G) . To obtain the parameters, a nonlinear leastsquares fitting program was used which minimizes the2TABLE2. COMPARISONBETWEENLOCALCOMPOSITIONAND VAN LAAREQUATIONFOR REPRESENTATIONOF BINARYVAPOR-LIQUIDDATARoot-mean-squage average deviationin vaDor-Dhase mole 0-Vol. 14, No. 1IHeil47787221010-Root-mean-square average relativedeviation in pressurex 1060x 1000No. ofWilsonNRTLvan 692181142115369842451677131110513--AlChE 470.300.47810119313222Page 139

both the NRTL (0.20) and the van Laar equations givea good representation of these data; Heil’s equation is alsoquite good, but Wilson’s equation is only fair. To fit thesedata we recommend a12 0.20.Type 111 includes mixtures of saturated hydrocarbonsand the homolog perfluorocarbons such as n-hexane-perfluorc-n-hexane. Table 2 shows that the Heil and NRTL(0.40) equations give the best representation of the data.We recommend 0112 0.40.Type IV includes mixtures of a strongly self-associatedsubstance, such as an alcohol with a nonpolar substance,like a hydrocarbon or carbon tetrachloride. The excessGibbs energy curve presents a flat shape near its maximum, and phase splitting occurs only if the activity coefficients are very large. Values of Sy and SP for thirteen mixtures of this type show that Wilson’s equation gives a verygood fit but the Heil and van Laar equations do not. Thesesystems present a high degree of nonrandomness and arebest represented by high values of 0 1 1 in the NRTL equation; the fitting is very sensitive to the value of a 1 2 andit is best to use a12as an adjustable parameter. The optimum values of a12 are between 0.40 and 0.55. However,in Table 2 we have selected a common value of a12forall systems of this type in order to reduce the number offitting parameters to two. When experimental data areinsufficient to justify three parameters, we recommenda12 0.47 for fitting this type of mixture.’Suitable data for strongly nonideal systems, besides thetypes alread considered, are scarce. However, we tentatively identi y three more types:Type V is represented by two systems of polar substances ( acetonitrile and nitromethane) with carbon tetrachloride which present a high degree of nonrandomnessand are best fitted by the NRTL (0.47) equation and theWilson equation. We recommend 0112 0.47.Type VI is represented by two systems of water plusa polar, nonassociated substance (acetone and dioxane) ;they are best represented by the van Laar and the NRTL(0.30) equations. We recommend a 1 2 0.30.Type VII is represented by two systems of water plusa polar self-associated substance (butyl-glycol and pyridine); they present a high degree of nonrandomness andwe recommend a12 0.47.We can draw the following conclusions about representation of binary vapor-liquid equilibria.The Wilson equation is especially suitable for alcoholhydrocarbon systems, but it can never predict phase splitting. The Heil equation can predict phase splitting butprovides only a small improvement over the van Laarequation.The NRTL equation gives the best fit for all types ofmixtures by proper selection of the constant a12,takinginto account only the nature of the binary system. It is thesimplest of the local composition equations (it containsno logarithmic term in the expression of g E ) and has perhaps the best semitheoretical basis. When justified by thedata, it can be used as a three-parameter equation forhighly non-ideal systems, but it can also be used as atwo-parameter equation by using for a 1 2 the values recommended and listed in Table 2.r sum of the parameters S (g1z - gzz)(gzl - gll) isof the order of 10 cal./mole and the error in the differencebetween the parameters D (g12 - gzz) - ( g z l - gll)is of the order of 50 cal./mole. The orders of the errors inS and D are, respectively, 20 and 100 cal./mole for theparameters of the Wilson and NRTL equations.With the assumption that Heil’s parameters from reduction of vapor-liquid data are independent of temperature,calculated and experimental enthalpies agree only qualitatively. Therefore the parameters are temperature dependent. Fortunately, however, they are only weak functionsof temperature, and, in many cases, isobaric data can beused to obtain useful, temperature-averaged parameters.These conclusions, discussed in more detail elsewhere( I6 ) , also hold for the Wilson and NRTL equations.LIQUID-LIQUID EQUILIBRIAWhile the Wilson equation is not applicable to liquidliquid systems, the Heil and the NRTL equations (a12 0.426) can be used to represent thermodynamic propertiesof binary mixtures with two liquid phases. It is possibleto calculate the parameters from experimental compositionsof the two equilibrated liquid phases.Parameters for the Heil and for the NRTL (0.20)equations were determined over a large range of temperature up to the critical solution temperature for twelveliquid-liquid systems containing a polar substance and ahydrocarbon (they are given in reference 1 6 ) ; in all cases,the temperature dependence of the parameters is linearand the parameters are consistent with parameters derived from vapor-liquid data. Therefore, for this type ofmixture, it is possible to predict vapor-liquid equilibria bylinear extrapolation with temperature of the parametersobtained from liquid-liquid data at lower temperature.Figure 5 shows the variation of the parameters withIXI 500-IIIIVAPOR-LIQUID DATALIQUID-LIQUID DATAEXPERIMENTAL ERRORPROBABLE ERROR AND TEMPERATUREDEPENDENCE OF PARAMETERS.LL.IIIN R T L EQ.9, 0.20TEMPERATUREAs determined from vapor-liquid data and shown elsewhere ( 1 6 ) , the probable error in the parameters of theHeil equation is such that, for good data, the error on the0* As Wilson’s, the NRTL (0.47) equation does not allow phase splitting, but t offers XeneralLy a good representation of vapor-liquid data ofType IV mixtures in the miscible regions.Page 14010203040TEMPERATURE‘C50-I160Fig. 5. Parameters for nitroethane (1 )-isooctane (2) system calculated from vapor-liquid and liquid-fiquid data.AlChE JournalJanuary, 1968

TABLE3. COMPARISONOF PREDICTIONOF TERNARYVAPOR-LIQUIDEQUILIBRIAWITH EQUATIONSUSING TWO PARAMETERS PER BINARYSYSTEM AND NO rERNAFiY CONSTANTSystemTemp.,"C. or No. ofpressure, datamm. Hg 00n-HeptaneTolueneMethanol760BenzeneCarbon tetrachlorideMethanolBenzeneCarbon anolMethyl acetate504234653-8-7-2-2-5-3454 47-33Mean relativedeviation inpressurex Lo00HeilWilson NRTL*95%Confidencelimit fidencelimit in l acetateWaterMean arithmeticdeviation in vapormole fraction y forindividual componentx 1,006HeilWilson NRTL*1-4-9am is selected for each binary mixture according to the values given in Table 3.temperature for a typical binary system. The temperaturerange extends from below to above the critical solutiontemperature. The probablein the parameters areindicated by the vertical lines in Figure 5. For liquidliquid data this error iS smaller than for vapor-liquid data.It is of the order of 10 cal./mole for Heirs parametersand 20 cd./mole for parameters in the Wilson and NRTLequations*The temperature dependence of the Parameterscannot be neglected in this case. Within experimentalerror, however, the parameters derived from vapor-liquiddata are consistent with those derived from liquid-liquiddata.Vol. 14, No. 1GENERALIZATION OF THE EQUATIONSTO MULTlCOMPONENT SYSTEMSThe equations for binary solutions, presented earlier,are readilyto so utionscontaining any numberof components Therequires no additionalassumption; all the local compos tionequations consi

Local Compositions in Thermodynamic Excess Functions for Liquid Mixtures HENRI RENON and J. M. PRAUSNITZ University of California, Berkeley, California A critical discussion is given of the use of local compositions for representation of excess Gibbs energies of liquid mixture

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