Structure and Property Prediction of Sub- and Super-Critical Water

Size: px
Start display at page:

Download "Structure and Property Prediction of Sub- and Super-Critical Water"

Transcription

1 Structure and Property Predcton of Sub- and Super-Crtcal Water Hassan Touba and G.Al Mansoor Department of Chemcal Engneerng, Unversty of Illnos at Chcago, (M/C 63), Chcago, Illnos , U.S.A. Paper presented at: The Thrteenth Symposum on Thermophyscal Propertes, June -7, 997, Boulder, Colorado, U.S.A. Emals: (). ; (). gal.mansoor@gmal.com ()

2 ABSTRACT In ths report two approaches are presented to predct the structure and PVT behavor of assocatng fluds wth emphass on water. One approach s the development of equatons of state based on the analytc chan assocaton theory (ACAT). An assocatng flud s assumed to be a mxture of monomer, dmer, trmer, etc., for whch the composton dstrbuton are obtaned. The resultng equatons are smple enough to be used for PVT calculatons. The second approach s the development of an analytcal expresson for the frst shell of the radal dstrbuton functon (RDF). Ths expresson satsfes the general functonalty of the RDF wth respect to ntermolecular potental, temperature and densty as well as all the lmtng values of RDF at hgh temperature and dlute gas, and nfnte separaton. Ths model has ntally been appled to smple potental energy functons, such as the Lennard-Jones and Khara functons. The results have been reported to be n good agreement wth the avalable computer smulaton data of RDF for these flud models and the expermental data for argon. Fnally, an effectve Khara par potental s derved for water whch ncorporates the hydrogen bondng usng the ACAT. The potental parameters of ths model are determned to predct the frst shell of the RDF data for water at varous subcrtcal temperatures and denstes. The predcted results for water at near crtcal and supercrtcal condtons are shown to be n agreement wth the data obtaned by neutron dffracton experments and wth the smulaton data. KEY WORDS: equaton of state; radal dstrbuton functon; potental energy functon; assocaton. ()

3 . INTRODUCTION H. Touba and G.A. Mansoor The key feature of water molecules s the hydrogen bondng whch refers to the formaton of chemcal aggregates or polymers. Nemethy and Scherga [], ndcated through ther studes on water structure that hydrogen bondng plays an mportant role n formng aggregates that can reach szes of up to one hundred H O molecules at room temperature. We have represented the assocaton of water molecules due to hydrogen bondng wth the followng chan reacton []. K (T) (H O) + (H O) (H O) + =,,..., () The equlbrum constant of the above reacton can be expressed as K = [x + /(x x )] [γ + /( γ γ )] = [x + /(x x )] Γ =,,..., () where x and γ are the mole fracton and actvty coeffcent of (H O), respectvely, and Γ s the rato of actvty coeffcents. For smplcty, we assume that all K 's and all Γ 's are the same, (.e. K=K =K =...= K =... and Γ=Γ =Γ =...=Γ =...). Let us defne κ as the rato of K / Γ, κ K / Γ = x + /(x x ) =,,..., (3) We may extend Eq. (3) to dfferent speces as follows: x = κ x x 3 = κ x x = κ x 3 : (4) x + = κ x x = κ x + : Snce the summaton of all mole fractons s unty, then κ x + = (5) = Consderng κ x <, we may show that the seres on the left sde of Eq. (5) converge to x /(- κ x ) = (6) (3)

4 Then the followng relaton wll result for the composton of the monomer: x =/(- κ) (7) Havng a large number of assocated components, compostons may be replaced wth a composton dstrbuton functon χ(i) where I s the number of assocated monomers. In ths case, the summaton n Eq. (5) can be replaced wth an ntegral. χ(i) di = (8) where χ(i) s defned as follows: χ(i) = χ κ I x I+ (9) χ s the normalzng factor and can be calculated by usng Eq. (8). χ = - (ln κ x )/ x () If we substtute χ and x nto Eq. (9), we get the followng result. χ(i) = - [κ /(+ κ)] I ln [κ /(+ κ)] () In what follows, we present a method for the development of equatons of state of assocatng fluds applyng the above composton dstrbuton whch s related to equlbrum mxtures of assocated speces. Moreover, ths composton dstrbuton wll be used n obtanng the molecular potental functon parameters. Havng the potental energy functon, we may be able to obtan the RDF applyng a general analytcal expresson for the frst shell of the RDF whch was ntally proposed by the authors [3] for smple potental energy functons, such as the Lennard-Jones and Khara functons.. APPLICATION OF COMPOSITION DISTRIBUTION TO EQUATIONS OF STATE The authors have used the composton dstrbuton already developed n order to extend the equatons of state parameters to assocatng fluds []. As an example ths extenson s frst (4)

5 performed on the van der Waals equaton of state (VDW EOS). Snce an assocatng flud s a multcomponent mxture of dfferent polymers, equaton of state parameters a and b can be expressed by the followng mxng rules. a = x x a = x x (a a ) / = ( x a / ) () b = x x b = x x (b +b ) / = x b (3) H. Touba and G.A. Mansoor The above equatons can be replaced wth the followng expressons a = ( χ(i) [a(i)] / di ) (4) b = χ(i) b(i) di (5) For smplcty, the parameter a(i) s consdered to be a lnear functon of dstrbuton ndex "I" n the followng form, and snce "b" s proportonal to molecular volume, b /3 wll be lnearly proportonal to molecular length of assocatng speces, thus a(i) / = a / + a / I (6) b(i) /3 = b /3 I (7) where b s the equaton of state parameter for the monomer. Substtutng Eqs. (), (6) and (7) nto Eqs. (4) and (5), respectvely, and ntegratng, and then wrtng the resultng equatons wth respect to the crtcal propertes, we get: a = a c F(ξ) (8) b = b c ξ 3 (9) where F(ξ) = [(C + ξ)/(c +)] () C - (a / a ) / ln [κ c /(+κ c )] () (5)

6 ξ = ln κ c / ln κ = (ln K c - ln Γ c )/(ln K- ln Γ) () The assocaton constant appearng n the above equaton s expressed as ln K = (T S - H )/(RT) (3) where the reference change of enthalpy H and entropy S of assocaton are ndependent of temperature. The actvty coeffcent rato, Γ, s a functon of temperature, pressure and mole fracton. For smplcty, we may assume Γ to be also ndependent of pressure and mole fracton, and have the followng smple expresson. ln Γ = α / (RT) (4) where " α " s a constant. Usng Eqs. (3) and (4), the parameter "ξ" n Eq. () can be rewrtten as ξ = T r (+ ξ )/(T r + ξ ) (5) where ξ s defned as ξ - ( H + α )/( S T c ) (6) Snce " ξ" depends only on temperature, parameters a and b wll also be temperature dependent only. Therefore, the VDW EOS for assocatng fluds can be wrtten as P = RT/(V-b c ξ 3 ) -a c F(ξ) /V (7) The term V appearng n ths equaton s the true molar volume, and t s based on true number of moles. To calculate molar volume from Eq. (7) we need to have pressure and temperature of the system lke any equaton of state. Snce at the crtcal pont, the condtons ( P/ V) T,cr = ( P/ V ) T,cr = have to be satsfed, then for the VDW EOS, we wll have: (6)

7 a c =(7 R T c )/(64P c ) (8) b c = RT c /(8P c ) (9) whch are the same as the orgnal VDW EOS. The theory proposed here can be extended to other equatons of state by a smlar method as t s reported above for the VDW EOS. For example, consderng the Redlch-Kwong equaton of state (RK EOS), t can be shown that t takes the followng form for assocatng fluds: P = RT/(V-b c ξ 3 ) - a c F(ξ) /[T.5 V(V+b c ξ 3 )] (3) where "a c " and "b c " n ths equaton are the same as n the orgnal RK EOS. In the calculatons reported below, both the van der Waals and Redlch-Kwong equatons of state were used for water. Fve dfferent expermental sotherms wth reduced temperatures of.5,.7,.,.5 and. [4] were chosen for specfc volume calculatons of water whch cover both vapor and lqud phases equally. Also 35 saturaton data ponts (from trple pont to crtcal pont) were used for vapor pressure calculatons. Table shows the absolute average devatons (AAD%) of vapor pressure and specfc volume calculatons of water based on the orgnal VDW EOS and RK EOS and based on the mproved equatons applyng the values of assocatng parameters C and ξ. Accordng to ths table, C = ± whch mples that only the parameter ξ needs to be consdered for water n the assocatng VDW and RK EOS's. Another case of nterest may be the case where the unlke nteracton parameter a s represented by a = (a a ) / (-k ) where k s the couplng parameter of assocatng speces. Ths case has been studed n detal n Ref. []. Calculatons have also been reported for varous assocatng fluds based on these two cases. It has been demonstrated that ncorporatng the proposed theory wth equatons of state wll mprove the propertes calculatons n all cases. In the followng secton, another applcaton of the ACAT and the correspondng composton dstrbuton wll be studed n order to obtan molecular potental functon parameters for assocatng fluds. (7)

8 3. APPLICATION OF COMPOSITION DISTRIBUTION TO POTENTIAL PARAMETERS The composton dstrbuton prevously developed, may also be ncorporated n the potental energy functon. For smplcty, we assume that the assocatng speces form an deal soluton,.e. Γ= and accordng to Eq. (3), κ =K. Therefore, Eq. () has the followng form. χ(i) = -[K /(+K)] I ln [K /(+K)] (3) The assocaton constant appearng n the above equaton may be determned from Eq. (3). The most relable values for H and S are those obtaned usng spectroscopc methods, such as Raman spectroscopy as reported by Walrafen et al. [5]: H = - kj/mole, S = -5 J/mole K Applyng the conformal soluton theory, whch assumes that there exsts a pure hypothetcal flud wth the same propertes as those of the mxture at the same densty and temperature, the par potental φ can be represented as follows [6]: φ = ε φ oo (r /σ ) (3) where subscrpt (oo) denotes the reference flud, r s the ntermolecular dstance and the parameters σ and ε represent the molecular dameter and energy parameter, respectvely. Among the statstcal mechancal conformal soluton theores of mxtures, one-flud van der Waals theory s smple to use and accurate enough wth the followng form: σ 3 3 = x x σ ε σ 3 3 = x x ε σ δ 3 3 = x x δ (33) (34) (35) (8)

9 Applyng the combnng rules σ 3 = (σ 3 + σ 3 ) /, δ 3 = (δ 3 +δ 3 ) / and ε = (ε ε ) / for unlke-nteracton potental parameters, we get the followng expressons: σ 3 = x x [(σ 3 + σ 3 3 )/ ] = x σ δ 3 = x x [(δ 3 + δ 3 3 )/ ] = x δ ε σ 3 = x x (ε ε ) / [(σ 3 + σ 3 )/ ] = (x ε / σ 3 ) / x ε (36) (37) (38) Consderng the number of assocatng speces to be very large, we can replace the above summatons wth ntegrals and the compostons wth the composton dstrbuton functon. σ 3 = δ 3 = χ(i) [σ(i)] 3 di (39) χ(i) [δ(i)] 3 di (4) ε σ 3 = χ(i) [ε(i)] / [σ(i)] 3 di χ(i) [ε(i)] / di (4) We relate parameters [σ(i)] 3, [δ(i)] 3 and [ε(i)] / to be functons of dstrbuton ndex "I". [σ(i)] 3 = σ 3 I ξ (4) [δ(i)] 3 = δ 3 I ξ (43) [ε(i)] / = ε / I ξ 3 [+ ξ ( /I -)+ ξ 3 4 (-I)] (44) where σ, δ and ε are the potental energy functon parameters for the monomer and ξ, ξ, ξ 3 and ξ 4 are constants. wll have Substtutng Eqs. (3) and (39)-(4) nto Eqs. (4)-(44), respectvely, and ntegratng, we (9)

10 σ = σ [Γ (+ ξ ) θ ξ ]/3 (45) δ = δ [Γ (+ ξ ) θ ξ ]/3 (46) ε = ε θ ξ 3 [Γ (+ ξ + ξ 3 ) Γ (+ ξ 3 )/ Γ (+ξ )] {+ ξ 3 /[(ξ + ξ 3 ) θ]- ξ 3 + ξ 4 [-(+ξ + ξ 3 ) θ]}. {+/θ- ξ 3 + ξ 4 [-(+ ξ 3 ) θ]} (47) where Γ s the gamma functon and θ -/ln [K /(+K)]. At ths pont, we are gong to use these potental parameters n an analytcal expresson for the frst shell of the RDF proposed by the authors [3] for smple potental energy functons. 4. AN ANALYTIC EXPRESSION FOR THE FIRST SHELL The radal dstrbuton functon of water s the most nformatve feature of ts molecular structure. In general, two lmtng condtons that the radal dstrbuton functon has to satsfy are the case of dlute gases n whch the densty approaches zero and the case of hard spheres where the temperature approaches nfnty. The RDF of dlute gases can be derved from the statstcal thermodynamcs as g dg (y)=exp [-β φ(y)] (48) where g dg (y) s the dlute gas RDF, y r/σ, β /(k T) and k s the Boltzmann's constant. The authors [3] proposed the followng functonal form for the frst shell of radal dstrbuton functon whch satsfes these two lmtng cases. g(y)= m g hs () exp [-m β φ(x)]+ (-m ) exp [-m β φ(y) -c (y-d * )] for y d * (49) g(y)=m g hs (x)+ (-m ) exp [-m β φ(y) -c (y-d * )] for d * y < y m (5) where x r/d, d * d/σ, d s the locaton of maxmum of RDF whch n the case of hard sphere RDF corresponds to the hard core dameter, y m s the mnmum of the RDF after the frst peak, ()

11 g hs (x) s the hard sphere RDF for whch the Werthem s analytcal soluton [7] of Percus-Yevck equaton for the frst shell of hard sphere radal dstrbuton functon has been utlzed. Both Eqs. (49) and (5) converge to the the followng smple equaton at the maxmum of the frst peak of the RDF (at y=d * ). H. Touba and G.A. Mansoor g(d * )=m g hs ()+(-m ) exp [-m β φ(d * )] (5) The parameters c and c appearng n Eqs. (49) and (5) must be determned from the fact that the g(y) has to be maxmum at dstance d *,.e. [ g(y)/ y] y=d* =. c = -m m β φ () g hs () / {d * (-m ) exp [-m β φ(d * )]} -m β φ (d * ) (5) c = m g hs () /{d * (-m ) exp [-m β φ(d * )]} -m β φ (d * ) (53) The parameters m, m and d * n the RDF equaton are expressed as functons of the dmensonless temperature T * k T/ε, and dmensonless densty ρ * ρσ 3 such that they satsfy the lmtng condtons of RDF. m = exp [-4.93/( ρ * T * )] (54) m = exp [.68 ρ * (-/ T * )] (55) d * =R m exp (-.483 ρ * T *.5 ) (56) where R m s the locaton of dlute gas RDF peak whch can be calculated by solvng the equaton: [ φ(y)/ y] y = R = φ (y =R m ) = (57) m Accordng to Eq. (54), as the temperature approaches nfnty, m wll approach unty. Therefore, we conclude that Eq. (5) approaches the lmtng case of hard sphere RDF, g hs for y d * (or x ). For the case where the densty s very low, accordng to Eqs. (5)-(56), m =c =c = and m =. Hence Eqs. (49) and (5) reduce to Eq. (48), the dlute gas RDF. ()

12 The present model was tested versus the frst shell RDF data for the Lennard-Jones and Khara fluds and versus the expermental results for the argon. A good agreement was reported to be between the calculated RDF and the smulated and expermental data [3]. In the followng secton, the above expressons for the frst shell of RDF are oned wth the Khara potental energy functon whose parameters, n the case of water, has been found by usng the ACAT and the conformal soluton theory. 5. APPLICATION TO KIHARA POTENTIAL FUNCTION The Khara potental n whch each molecule s assumed to have an mpenetrable hard core of dameter δ accounts for the ntermolecular forces of water provded that ts parameters nclude the hydrogen bondng effects. In order to apply the precedng frst-shell RDF model to Khara potental, we derve the followng expressons for φ(y), φ(x), φ(d * ), φ (d * ), φ (), and R m. φ(y)= 4ε {[(-δ * )/(y- δ * )] - [(- δ * )/(y- δ * )] 6 } (58) φ(x)= 4ε {[(- δ * /d * )/(x- δ * /d * )] - [(- δ * /d * )/(x- δ * /d * )] 6 } (59) φ(d * )= 4ε {[(- δ * )/(d * - δ * )] - [(- δ * )/(d * - δ * )] 6 } (6) φ (d * )= [-4ε/(d * - δ * )] { [(- δ * )/(d * - δ * )] - [(- δ * )/(d * - δ * )] 6 } (6) φ ()= -4ε/(- δ * /d * ) (6) R m = δ * + /6 (- δ * ) (63) where δ * = δ/σ. Fg. shows the varatons of calculated values of Khara parameters usng the proposed model for the frst shell of RDF and the expermental data reported by Narten and Levy [8]. It can be nferred from ths fgure that σ does not practcally change wth temperature ()

13 whch mples that ξ n Eq. (45) s almost zero. The values of δ and ξ are found to be.35 Å and.. Consequently, Eqs. (45)-(47) reduce to σ σ =.68 Å (64) δ =.35 θ /3 (65) ε = ε {θ ξ 3 Γ (+ ξ 3 ) {+/θ - ξ 3 + ξ 4 [-(+ ξ 3 ) θ]} } (66) where ε /k =3 K, ξ 3 =.4 and ξ 4 =.36. Fg. represents the calculated frst shell of the RDF of water at varous temperatures usng the effectve Khara potental functon for assocatng fluds. The curves have been compared wth the expermental data for RDF at the same condtons determned by Narten and Levy [8]. In order to verfy the valdty of the proposed model for near crtcal and supercrtcal condtons, we have calculated the frst shell of RDF for the condtons T=3 C, ρ=.7 g/cm 3 and T=4 C, ρ =.66 g/cm 3 for whch the expermental data were reported by Postorno et al. [9] and the molecular smulaton data based on ST model were reported by Chalvo and Cummngs []. Accordng to Fg. 3, there s a good general agreement between the proposed theory and the expermental and smulated data as far as the locaton and heght of the peak are concerned. However, the bump on the left hand sde of the frst peak n the expermental data could not be reproduced wth the proposed model. Chalvo and Cummngs [] beleved that ths bump was a false feature of the RDF of water ntroduced by the dffracton data analyss. Ther molecular smulaton model also faled to predct ths bump. One of the mportant features of the expermental RDF data of water was reported to be the fact that as the temperature s rased from ambent temperature to about 7 C, the frst peak dmnshes a lttle n heght, whle by further ncreasng the temperature to supercrtcal regon, there s a rse n the frst peak agan [9]. Ths pecularty of water whch can be consdered n all expermental and smulated data [8-] s also predcted by the proposed model. (3)

14 Fg. 4 represents the varatons of the frst peak of RDF of water at reduced temperatures (T r =T/T c =T * /T c * ) of.5,. and.5 and reduced denstes (ρ r =ρ/ρ c =ρ * /ρ c * ) of.5,. and., respectvely. In order to compare the results obtaned for water wth the RDF of Lennard- Jones fluds, the correspondng RDF curves for Lennard-Jones fluds at the smlar condtons have been plotted on the same fgure. We have chosen the crtcal temperature and densty of Lennard-Jones fluds [,] T c * =.3 and ρ c * =.3. The frst peaks of Lennard-Jones fluds RDF are hgher at subcrtcal and lower at supercrtcal condtons than those of water. In order to nvestgate the suffcency of the nformaton for the frst shell of RDF, the concept of the radus of nfluence has been utlzed whch was proposed by Mansoor and Ely [3] for the theory of local compostons. Ths concept s appled to calculate the dstance at whch the RDF could be truncated for determnng the sothermal compressblty. In all cases studed, t s shown that the radus of truncaton s located nsde the frst shell of RDF. The sothermal compressblty, κ T, can be calculated by applyng the equaton: κ * T = /(ρ * T * )+ (4π/T * ) [g(y) -] y dy (67) where κ T * κ T ε/ σ 3. The ntegral n Eq. (67) can be wrtten n the followng form. [g(y) -] y dy = R κ [g(y) -] y dy+ Rκ [g(y) -] y dy (68) The radus of truncaton of RDF, R κ, s chosen such that the second ntegral dsappears,.e. [g(y) -] y dy= (69) R κ In general, Eq. (69) has several roots for R κ. However, we mpose the constrant that R κ has to be wthn the frst shell of RDF. Therefore κ * T = /(ρ * T * )+ (4π/T * R κ ) [g(y) -] y dy (7) (4)

15 Fg. 5 represents schematcally the value of R κ whch gves rse to the equalty of dashed areas above and below the horzontal axs to the rght of R κ. Snce g(y) s a functon of temperature and densty, R κ s also a functon of temperature and densty. Fg. 8 llustrates the varatons of R κ wth the temperature for water at P sat,.5 and kbar. In order to obtan R κ, we have utlzed the expermental sothermal compressblty data reported by Helgeson and Krkham [4]. Accordng to Fg. 6, the radus of truncaton of RDF s wthn the frst shell for all the condtons reported. 6. CONCLUSION We have demonstrated that the analytc chan assocaton theory can be ncorporated nto equatons of state. When ths theory s appled to cubc equatons of state, wth certan assumptons the cubc nature of these equatons can be retaned. The resultng equatons are smple enough to be used for PVT calculatons. Numercal calculatons for densty and vapor pressure have been performed over wde ranges of temperature and pressure for water as one representatve assocatng flud. It can be observed that the results are greatly mproved when applyng the assocaton theory and the error s n the order of magntude of applyng the equaton to non-assocatng systems. We have also derved an effectve Khara par potental for water whch ncorporates the hydrogen bondng by usng the ACAT and the conformal soluton theory. The potental parameters have been obtaned based on the frst shell of RDF expermental data for water by usng an analytcal expresson for the frst shell of RDF prevously proposed by the authors whch satsfes the lmtng cases of hard sphere radal dstrbuton functon at hgh temperatures and the dlute gas radal dstrbuton functon at very low denstes. The calculated values of RDF compare well wth sub-crtcal expermental data and wth smulaton and expermental near-crtcal and supercrtcal data. (5)

16 REFERENCES [] G. Nemethy and G.H. Scheraga, J. Chem. Phys., 36 (96) [] H. Touba and G.A. Mansoor, Flud Phase Equlbra, 9 (996) [3] H. Touba and G.A. Mansoor, Int. J. Thermophys., (to appear 997). [4] L. Haar, J.S. Gallagher, and G.S. Kell, NBS/NRS steam tables. McGraw-Hll, New York 984. [5] G.E. Walrafen, M.R. Fsher, M.S. Hokmabad and W.H. Yang, J. Chem. Phys., 85 (986) [6] W.B. Brown, Phlosophcal transactons of the Royal Socety of London, seres A: Mathematcal and physcal scences, 5 (957) 75. [7] M.S. Werthem, Phys. Rev. Lett. (963) [8] A.H. Narten and H.A. Levy, J. Chem. Phys., 55 (97) [9] P. Postorno, R.H. Tromp, M.A. Rcc, A.K. Soper and G.W. Nelson, Nature, 366 (993) []A.A. Chalvo and P.T. Cummngs, J. Phys. Chem., (996) []J.K. Johnson, J.A. Zollweg and K.E. Gubbns, Mol. Phys., 78 (993) []A. Lotf, J. Vrabec and J. Fscher, Mol. Phys., 76 (99) 39. [3]G.A. Mansoor and J.F. Ely, Flud Phase Equlbra, (985) [4]H.C. Helgeson and D.H. Krkham, Amercan J. Sc., 74 (974) 89. Table. Absolute average devaton of vapor pressure and specfc volume of water. EOS ξ C AAD% n P sat AAD% n V VDW (orgnal) VDW (proposed theory) ± RK (orgnal) RK (proposed theory).9 ± (6)

17 3.8 σ, Å δ, Å ε/ k, Kelvn T, C Fg.. Varatons of the Khara parameters for water wth temperature usng the proposed model for the frst shell of RDF (7)

18 4 C C 5 C 5 C g(r) 75 C C 5 C C Fg r, Å Comparson of the proposed model for the frst shell of the water RDF and the expermental data at varous temperatures. (8)

19 3 C Expermental data Smulaton data Proposed model g(r) 4 C r, Å Fg. 3. Comparson of the predcted frst shell of the water RDF wth the expermental data and the molecular smulaton results at near crtcal and supercrtcal condtons. (9)

20 5 4 3 ρ r =.5 for water ρ r =. for water ρ r =. for water ρ r =.5 for LJ ρ r =. for LJ ρ r =. for LJ g(x) T r =.5 T r =. T r = x=r/d Fg.4. Varatons of the frst peak of the water RDF and a Lennard-Jones flud at dfferent condtons. ()

21 .5 [g(y)-] y.5 R Κ y=r/σ Fg. 5. Radus of truncaton R κ for the sothermal compressblty ntegral [g(y)-] y R Κ P=P sat P=.5 kbar P= kbar 3 4 T, C Fg. 6. Varatons of the radus of truncaton R κ wth temperature and densty for water. ()

Application of Integral Equation Joined with the Chain Association Theory to Study Molecular Association in Sub- and Supercritical Water

Application of Integral Equation Joined with the Chain Association Theory to Study Molecular Association in Sub- and Supercritical Water 984 Journal of Physcal Chemstry B Volume 105, No. 40, Pages: 984-989, 2001 DOI: 10.1021/p011889o Applcaton of Integral Equaton Joned wth the Chan Assocaton Theory to Study Molecular Assocaton n Sub- and

More information

Energy, Entropy, and Availability Balances Phase Equilibria. Nonideal Thermodynamic Property Models. Selecting an Appropriate Model

Energy, Entropy, and Availability Balances Phase Equilibria. Nonideal Thermodynamic Property Models. Selecting an Appropriate Model Lecture 4. Thermodynamcs [Ch. 2] Energy, Entropy, and Avalablty Balances Phase Equlbra - Fugactes and actvty coeffcents -K-values Nondeal Thermodynamc Property Models - P-v-T equaton-of-state models -

More information

Supplementary Notes for Chapter 9 Mixture Thermodynamics

Supplementary Notes for Chapter 9 Mixture Thermodynamics Supplementary Notes for Chapter 9 Mxture Thermodynamcs Key ponts Nne major topcs of Chapter 9 are revewed below: 1. Notaton and operatonal equatons for mxtures 2. PVTN EOSs for mxtures 3. General effects

More information

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law: CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and

More information

A Self-Consistent Gibbs Excess Mixing Rule for Cubic Equations of State: derivation and fugacity coefficients

A Self-Consistent Gibbs Excess Mixing Rule for Cubic Equations of State: derivation and fugacity coefficients A Self-Consstent Gbbs Excess Mxng Rule for Cubc Equatons of State: dervaton and fugacty coeffcents Paula B. Staudt, Rafael de P. Soares Departamento de Engenhara Químca, Escola de Engenhara, Unversdade

More information

I wish to publish my paper on The International Journal of Thermophysics. A Practical Method to Calculate Partial Properties from Equation of State

I wish to publish my paper on The International Journal of Thermophysics. A Practical Method to Calculate Partial Properties from Equation of State I wsh to publsh my paper on The Internatonal Journal of Thermophyscs. Ttle: A Practcal Method to Calculate Partal Propertes from Equaton of State Authors: Ryo Akasaka (correspondng author) 1 and Takehro

More information

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential Open Systems: Chemcal Potental and Partal Molar Quanttes Chemcal Potental For closed systems, we have derved the followng relatonshps: du = TdS pdv dh = TdS + Vdp da = SdT pdv dg = VdP SdT For open systems,

More information

General Thermodynamics for Process Simulation. Dr. Jungho Cho, Professor Department of Chemical Engineering Dong Yang University

General Thermodynamics for Process Simulation. Dr. Jungho Cho, Professor Department of Chemical Engineering Dong Yang University General Thermodynamcs for Process Smulaton Dr. Jungho Cho, Professor Department of Chemcal Engneerng Dong Yang Unversty Four Crtera for Equlbra μ = μ v Stuaton α T = T β α β P = P l μ = μ l1 l 2 Thermal

More information

Equation of State Modeling of Phase Equilibrium in the Low-Density Polyethylene Process

Equation of State Modeling of Phase Equilibrium in the Low-Density Polyethylene Process Equaton of State Modelng of Phase Equlbrum n the Low-Densty Polyethylene Process H. Orbey, C. P. Boks, and C. C. Chen Ind. Eng. Chem. Res. 1998, 37, 4481-4491 Yong Soo Km Thermodynamcs & Propertes Lab.

More information

Appendix II Summary of Important Equations

Appendix II Summary of Important Equations W. M. Whte Geochemstry Equatons of State: Ideal GasLaw: Coeffcent of Thermal Expanson: Compressblty: Van der Waals Equaton: The Laws of Thermdynamcs: Frst Law: Appendx II Summary of Important Equatons

More information

Solution Thermodynamics

Solution Thermodynamics Soluton hermodynamcs usng Wagner Notaton by Stanley. Howard Department of aterals and etallurgcal Engneerng South Dakota School of nes and echnology Rapd Cty, SD 57701 January 7, 001 Soluton hermodynamcs

More information

University of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014

University of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014 Lecture 16 8/4/14 Unversty o Washngton Department o Chemstry Chemstry 452/456 Summer Quarter 214. Real Vapors and Fugacty Henry s Law accounts or the propertes o extremely dlute soluton. s shown n Fgure

More information

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram Adabatc Sorpton of Ammona-Water System and Depctng n p-t-x Dagram J. POSPISIL, Z. SKALA Faculty of Mechancal Engneerng Brno Unversty of Technology Techncka 2, Brno 61669 CZECH REPUBLIC Abstract: - Absorpton

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

If two volatile and miscible liquids are combined to form a solution, Raoult s law is not obeyed. Use the experimental data in Table 9.

If two volatile and miscible liquids are combined to form a solution, Raoult s law is not obeyed. Use the experimental data in Table 9. 9.9 Real Solutons Exhbt Devatons from Raoult s Law If two volatle and mscble lquds are combned to form a soluton, Raoult s law s not obeyed. Use the expermental data n Table 9.3: Physcal Chemstry 00 Pearson

More information

is the calculated value of the dependent variable at point i. The best parameters have values that minimize the squares of the errors

is the calculated value of the dependent variable at point i. The best parameters have values that minimize the squares of the errors Multple Lnear and Polynomal Regresson wth Statstcal Analyss Gven a set of data of measured (or observed) values of a dependent varable: y versus n ndependent varables x 1, x, x n, multple lnear regresson

More information

( ) 1/ 2. ( P SO2 )( P O2 ) 1/ 2.

( ) 1/ 2. ( P SO2 )( P O2 ) 1/ 2. Chemstry 360 Dr. Jean M. Standard Problem Set 9 Solutons. The followng chemcal reacton converts sulfur doxde to sulfur troxde. SO ( g) + O ( g) SO 3 ( l). (a.) Wrte the expresson for K eq for ths reacton.

More information

3. Be able to derive the chemical equilibrium constants from statistical mechanics.

3. Be able to derive the chemical equilibrium constants from statistical mechanics. Lecture #17 1 Lecture 17 Objectves: 1. Notaton of chemcal reactons 2. General equlbrum 3. Be able to derve the chemcal equlbrum constants from statstcal mechancs. 4. Identfy how nondeal behavor can be

More information

Electrical double layer: revisit based on boundary conditions

Electrical double layer: revisit based on boundary conditions Electrcal double layer: revst based on boundary condtons Jong U. Km Department of Electrcal and Computer Engneerng, Texas A&M Unversty College Staton, TX 77843-318, USA Abstract The electrcal double layer

More information

Estimation of the composition of the liquid and vapor streams exiting a flash unit with a supercritical component

Estimation of the composition of the liquid and vapor streams exiting a flash unit with a supercritical component Department of Energ oltecnco d Mlano Va Lambruschn - 05 MILANO Eercses of Fundamentals of Chemcal rocesses rof. Ganpero Gropp Eercse 8 Estmaton of the composton of the lqud and vapor streams etng a unt

More information

Lecture 7: Boltzmann distribution & Thermodynamics of mixing

Lecture 7: Boltzmann distribution & Thermodynamics of mixing Prof. Tbbtt Lecture 7 etworks & Gels Lecture 7: Boltzmann dstrbuton & Thermodynamcs of mxng 1 Suggested readng Prof. Mark W. Tbbtt ETH Zürch 13 März 018 Molecular Drvng Forces Dll and Bromberg: Chapters

More information

y i x P vap 10 A T SOLUTION TO HOMEWORK #7 #Problem

y i x P vap 10 A T SOLUTION TO HOMEWORK #7 #Problem SOLUTION TO HOMEWORK #7 #roblem 1 10.1-1 a. In order to solve ths problem, we need to know what happens at the bubble pont; at ths pont, the frst bubble s formed, so we can assume that all of the number

More information

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4)

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4) I. Classcal Assumptons Econ7 Appled Econometrcs Topc 3: Classcal Model (Studenmund, Chapter 4) We have defned OLS and studed some algebrac propertes of OLS. In ths topc we wll study statstcal propertes

More information

Lecture. Polymer Thermodynamics 0331 L Chemical Potential

Lecture. Polymer Thermodynamics 0331 L Chemical Potential Prof. Dr. rer. nat. habl. S. Enders Faculty III for Process Scence Insttute of Chemcal Engneerng Department of Thermodynamcs Lecture Polymer Thermodynamcs 033 L 337 3. Chemcal Potental Polymer Thermodynamcs

More information

Non-Ideality Through Fugacity and Activity

Non-Ideality Through Fugacity and Activity Non-Idealty Through Fugacty and Actvty S. Patel Deartment of Chemstry and Bochemstry, Unversty of Delaware, Newark, Delaware 19716, USA Corresondng author. E-mal: saatel@udel.edu 1 I. FUGACITY In ths dscusson,

More information

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look

More information

Numerical Heat and Mass Transfer

Numerical Heat and Mass Transfer Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and

More information

NAME and Section No. it is found that 0.6 mol of O

NAME and Section No. it is found that 0.6 mol of O NAME and Secton No. Chemstry 391 Fall 7 Exam III KEY 1. (3 Ponts) ***Do 5 out of 6***(If 6 are done only the frst 5 wll be graded)*** a). In the reacton 3O O3 t s found that.6 mol of O are consumed. Fnd

More information

Electrostatic Potential from Transmembrane Currents

Electrostatic Potential from Transmembrane Currents Electrostatc Potental from Transmembrane Currents Let s assume that the current densty j(r, t) s ohmc;.e., lnearly proportonal to the electrc feld E(r, t): j = σ c (r)e (1) wth conductvty σ c = σ c (r).

More information

modeling of equilibrium and dynamic multi-component adsorption in a two-layered fixed bed for purification of hydrogen from methane reforming products

modeling of equilibrium and dynamic multi-component adsorption in a two-layered fixed bed for purification of hydrogen from methane reforming products modelng of equlbrum and dynamc mult-component adsorpton n a two-layered fxed bed for purfcaton of hydrogen from methane reformng products Mohammad A. Ebrahm, Mahmood R. G. Arsalan, Shohreh Fatem * Laboratory

More information

An Improved Model for the Droplet Size Distribution in Sprays Developed From the Principle of Entropy Generation maximization

An Improved Model for the Droplet Size Distribution in Sprays Developed From the Principle of Entropy Generation maximization ILASS Amercas, 9 th Annual Conference on Lqud Atomzaton and Spray Systems, oronto, Canada, May 6 An Improved Model for the Droplet Sze Dstrbuton n Sprays Developed From the Prncple of Entropy Generaton

More information

Robert Eisberg Second edition CH 09 Multielectron atoms ground states and x-ray excitations

Robert Eisberg Second edition CH 09 Multielectron atoms ground states and x-ray excitations Quantum Physcs 量 理 Robert Esberg Second edton CH 09 Multelectron atoms ground states and x-ray exctatons 9-01 By gong through the procedure ndcated n the text, develop the tme-ndependent Schroednger equaton

More information

MODELING THE HIGH-PRESSURE BEHAVIOR OF BINARY MIXTURES OF CARBON DIOXIDE+ALKANOLS USING AN EXCESS FREE ENERGY MIXING RULE

MODELING THE HIGH-PRESSURE BEHAVIOR OF BINARY MIXTURES OF CARBON DIOXIDE+ALKANOLS USING AN EXCESS FREE ENERGY MIXING RULE Brazlan Journal of Chemcal Engneerng ISSN 0104-6632 Prnted n Brazl Vol. 21, No. 04, pp. 659-666, October - December 04 MODELING THE HIGH-PRESSURE BEHAVIOR OF BINARY MIXTURES OF CARBON DIOXIDE+ALKANOLS

More information

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

More information

CHEMICAL REACTIONS AND DIFFUSION

CHEMICAL REACTIONS AND DIFFUSION CHEMICAL REACTIONS AND DIFFUSION A.K.A. NETWORK THERMODYNAMICS BACKGROUND Classcal thermodynamcs descrbes equlbrum states. Non-equlbrum thermodynamcs descrbes steady states. Network thermodynamcs descrbes

More information

(1) The saturation vapor pressure as a function of temperature, often given by the Antoine equation:

(1) The saturation vapor pressure as a function of temperature, often given by the Antoine equation: CE304, Sprng 2004 Lecture 22 Lecture 22: Topcs n Phase Equlbra, part : For the remander of the course, we wll return to the subject of vapor/lqud equlbrum and ntroduce other phase equlbrum calculatons

More information

Finite Element Modelling of truss/cable structures

Finite Element Modelling of truss/cable structures Pet Schreurs Endhoven Unversty of echnology Department of Mechancal Engneerng Materals echnology November 3, 214 Fnte Element Modellng of truss/cable structures 1 Fnte Element Analyss of prestressed structures

More information

Lecture Note 3. Eshelby s Inclusion II

Lecture Note 3. Eshelby s Inclusion II ME340B Elastcty of Mcroscopc Structures Stanford Unversty Wnter 004 Lecture Note 3. Eshelby s Incluson II Chrs Wenberger and We Ca c All rghts reserved January 6, 004 Contents 1 Incluson energy n an nfnte

More information

Determination of Structure and Formation Conditions of Gas Hydrate by Using TPD Method and Flash Calculations

Determination of Structure and Formation Conditions of Gas Hydrate by Using TPD Method and Flash Calculations nd atonal Iranan Conference on Gas Hydrate (ICGH) Semnan Unersty Determnaton of Structure and Formaton Condtons of Gas Hydrate by Usng TPD Method and Flash Calculatons H. Behat Rad, F. Varamnan* Department

More information

DETERMINATION OF CO 2 MINIMUM MISCIBILITY PRESSURE USING SOLUBILITY PARAMETER

DETERMINATION OF CO 2 MINIMUM MISCIBILITY PRESSURE USING SOLUBILITY PARAMETER DETERMINATION OF CO 2 MINIMUM MISCIBILITY PRESSURE USING SOLUBILITY PARAMETER Rocha, P. S. 1, Rbero, A. L. C. 2, Menezes, P. R. F. 2, Costa, P. U. O. 2, Rodrgues, E. A. 2, Costa, G. M. N. 2 *, glora.costa@unfacs.br,

More information

Workshop: Approximating energies and wave functions Quantum aspects of physical chemistry

Workshop: Approximating energies and wave functions Quantum aspects of physical chemistry Workshop: Approxmatng energes and wave functons Quantum aspects of physcal chemstry http://quantum.bu.edu/pltl/6/6.pdf Last updated Thursday, November 7, 25 7:9:5-5: Copyrght 25 Dan Dll (dan@bu.edu) Department

More information

Temperature. Chapter Heat Engine

Temperature. Chapter Heat Engine Chapter 3 Temperature In prevous chapters of these notes we ntroduced the Prncple of Maxmum ntropy as a technque for estmatng probablty dstrbutons consstent wth constrants. In Chapter 9 we dscussed the

More information

Mass Transfer Processes

Mass Transfer Processes Mass Transfer Processes S. Majd Hassanzadeh Department of Earth Scences Faculty of Geoscences Utrecht Unversty Outlne: 1. Measures of Concentraton 2. Volatlzaton and Dssoluton 3. Adsorpton Processes 4.

More information

DETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM

DETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM Ganj, Z. Z., et al.: Determnaton of Temperature Dstrbuton for S111 DETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM by Davood Domr GANJI

More information

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1 P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the

More information

Name: SID: Discussion Session:

Name: SID: Discussion Session: Name: SID: Dscusson Sesson: Chemcal Engneerng Thermodynamcs 141 -- Fall 007 Thursday, November 15, 007 Mdterm II SOLUTIONS - 70 mnutes 110 Ponts Total Closed Book and Notes (0 ponts) 1. Evaluate whether

More information

Foundations of Arithmetic

Foundations of Arithmetic Foundatons of Arthmetc Notaton We shall denote the sum and product of numbers n the usual notaton as a 2 + a 2 + a 3 + + a = a, a 1 a 2 a 3 a = a The notaton a b means a dvdes b,.e. ac = b where c s an

More information

Chapter 13: Multiple Regression

Chapter 13: Multiple Regression Chapter 13: Multple Regresson 13.1 Developng the multple-regresson Model The general model can be descrbed as: It smplfes for two ndependent varables: The sample ft parameter b 0, b 1, and b are used to

More information

Gouy-Chapman model (1910) The double layer is not as compact as in Helmholtz rigid layer.

Gouy-Chapman model (1910) The double layer is not as compact as in Helmholtz rigid layer. CHE465/865, 6-3, Lecture 1, 7 nd Sep., 6 Gouy-Chapman model (191) The double layer s not as compact as n Helmholtz rgd layer. Consder thermal motons of ons: Tendency to ncrease the entropy and make the

More information

Module 3: Element Properties Lecture 1: Natural Coordinates

Module 3: Element Properties Lecture 1: Natural Coordinates Module 3: Element Propertes Lecture : Natural Coordnates Natural coordnate system s bascally a local coordnate system whch allows the specfcaton of a pont wthn the element by a set of dmensonless numbers

More information

Phase equilibria for the oxygen-water system up to elevated temperatures and pressures

Phase equilibria for the oxygen-water system up to elevated temperatures and pressures Phase equlbra for the oxygen-water system up to elevated temperatures and pressures Xaoyan J 1, 2, Xaohua Lu 2, Jnyue Yan 1,3* 1 Department of Chemcal Engneerng and Technology / Energy Processes, Royal

More information

Chemical Equilibrium. Chapter 6 Spontaneity of Reactive Mixtures (gases) Taking into account there are many types of work that a sysem can perform

Chemical Equilibrium. Chapter 6 Spontaneity of Reactive Mixtures (gases) Taking into account there are many types of work that a sysem can perform Ths chapter deals wth chemcal reactons (system) wth lttle or no consderaton on the surroundngs. Chemcal Equlbrum Chapter 6 Spontanety of eactve Mxtures (gases) eactants generatng products would proceed

More information

4.2 Chemical Driving Force

4.2 Chemical Driving Force 4.2. CHEMICL DRIVING FORCE 103 4.2 Chemcal Drvng Force second effect of a chemcal concentraton gradent on dffuson s to change the nature of the drvng force. Ths s because dffuson changes the bondng n a

More information

Appendix for Causal Interaction in Factorial Experiments: Application to Conjoint Analysis

Appendix for Causal Interaction in Factorial Experiments: Application to Conjoint Analysis A Appendx for Causal Interacton n Factoral Experments: Applcaton to Conjont Analyss Mathematcal Appendx: Proofs of Theorems A. Lemmas Below, we descrbe all the lemmas, whch are used to prove the man theorems

More information

and Statistical Mechanics Material Properties

and Statistical Mechanics Material Properties Statstcal Mechancs and Materal Propertes By Kuno TAKAHASHI Tokyo Insttute of Technology, Tokyo 15-855, JAPA Phone/Fax +81-3-5734-3915 takahak@de.ttech.ac.jp http://www.de.ttech.ac.jp/~kt-lab/ Only for

More information

Module 3: The Whole-Process Perspective for Thermochemical Hydrogen

Module 3: The Whole-Process Perspective for Thermochemical Hydrogen "Thermodynamc Analyss of Processes for Hydrogen Generaton by Decomposton of Water" by John P. O'Connell Department of Chemcal Engneerng Unversty of Vrgna Charlottesvlle, VA 2294-4741 A Set of Energy Educaton

More information

Grand canonical Monte Carlo simulations of bulk electrolytes and calcium channels

Grand canonical Monte Carlo simulations of bulk electrolytes and calcium channels Grand canoncal Monte Carlo smulatons of bulk electrolytes and calcum channels Thess of Ph.D. dssertaton Prepared by: Attla Malascs M.Sc. n Chemstry Supervsor: Dr. Dezső Boda Unversty of Pannona Insttute

More information

DUE: WEDS FEB 21ST 2018

DUE: WEDS FEB 21ST 2018 HOMEWORK # 1: FINITE DIFFERENCES IN ONE DIMENSION DUE: WEDS FEB 21ST 2018 1. Theory Beam bendng s a classcal engneerng analyss. The tradtonal soluton technque makes smplfyng assumptons such as a constant

More information

PHYS 705: Classical Mechanics. Calculus of Variations II

PHYS 705: Classical Mechanics. Calculus of Variations II 1 PHYS 705: Classcal Mechancs Calculus of Varatons II 2 Calculus of Varatons: Generalzaton (no constrant yet) Suppose now that F depends on several dependent varables : We need to fnd such that has a statonary

More information

Prediction of steady state input multiplicities for the reactive flash separation using reactioninvariant composition variables

Prediction of steady state input multiplicities for the reactive flash separation using reactioninvariant composition variables Insttuto Tecnologco de Aguascalentes From the SelectedWorks of Adran Bonlla-Petrcolet 2 Predcton of steady state nput multplctes for the reactve flash separaton usng reactonnvarant composton varables Jose

More information

V T for n & P = constant

V T for n & P = constant Pchem 365: hermodynamcs -SUMMARY- Uwe Burghaus, Fargo, 5 9 Mnmum requrements for underneath of your pllow. However, wrte your own summary! You need to know the story behnd the equatons : Pressure : olume

More information

Physics 607 Exam 1. ( ) = 1, Γ( z +1) = zγ( z) x n e x2 dx = 1. e x2

Physics 607 Exam 1. ( ) = 1, Γ( z +1) = zγ( z) x n e x2 dx = 1. e x2 Physcs 607 Exam 1 Please be well-organzed, and show all sgnfcant steps clearly n all problems. You are graded on your wor, so please do not just wrte down answers wth no explanaton! Do all your wor on

More information

The ChemSep Book. Harry A. Kooijman Consultant. Ross Taylor Clarkson University, Potsdam, New York University of Twente, Enschede, The Netherlands

The ChemSep Book. Harry A. Kooijman Consultant. Ross Taylor Clarkson University, Potsdam, New York University of Twente, Enschede, The Netherlands The ChemSep Book Harry A. Koojman Consultant Ross Taylor Clarkson Unversty, Potsdam, New York Unversty of Twente, Enschede, The Netherlands Lbr Books on Demand www.bod.de Copyrght c 2000 by H.A. Koojman

More information

(Online First)A Lattice Boltzmann Scheme for Diffusion Equation in Spherical Coordinate

(Online First)A Lattice Boltzmann Scheme for Diffusion Equation in Spherical Coordinate Internatonal Journal of Mathematcs and Systems Scence (018) Volume 1 do:10.494/jmss.v1.815 (Onlne Frst)A Lattce Boltzmann Scheme for Dffuson Equaton n Sphercal Coordnate Debabrata Datta 1 *, T K Pal 1

More information

Assignment 5. Simulation for Logistics. Monti, N.E. Yunita, T.

Assignment 5. Simulation for Logistics. Monti, N.E. Yunita, T. Assgnment 5 Smulaton for Logstcs Mont, N.E. Yunta, T. November 26, 2007 1. Smulaton Desgn The frst objectve of ths assgnment s to derve a 90% two-sded Confdence Interval (CI) for the average watng tme

More information

One-sided finite-difference approximations suitable for use with Richardson extrapolation

One-sided finite-difference approximations suitable for use with Richardson extrapolation Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,

More information

Assignment 4. Adsorption Isotherms

Assignment 4. Adsorption Isotherms Insttute of Process Engneerng Assgnment 4. Adsorpton Isotherms Part A: Compettve adsorpton of methane and ethane In large scale adsorpton processes, more than one compound from a mxture of gases get adsorbed,

More information

Implicit Integration Henyey Method

Implicit Integration Henyey Method Implct Integraton Henyey Method In realstc stellar evoluton codes nstead of a drect ntegraton usng for example the Runge-Kutta method one employs an teratve mplct technque. Ths s because the structure

More information

Thermodynamics II. Department of Chemical Engineering. Prof. Kim, Jong Hak

Thermodynamics II. Department of Chemical Engineering. Prof. Kim, Jong Hak Thermodynamcs II Department of Chemcal Engneerng Prof. Km, Jong Hak Soluton Thermodynamcs : theory Obectve : lay the theoretcal foundaton for applcatons of thermodynamcs to gas mxture and lqud soluton

More information

Joint Statistical Meetings - Biopharmaceutical Section

Joint Statistical Meetings - Biopharmaceutical Section Iteratve Ch-Square Test for Equvalence of Multple Treatment Groups Te-Hua Ng*, U.S. Food and Drug Admnstraton 1401 Rockvlle Pke, #200S, HFM-217, Rockvlle, MD 20852-1448 Key Words: Equvalence Testng; Actve

More information

Inductance Calculation for Conductors of Arbitrary Shape

Inductance Calculation for Conductors of Arbitrary Shape CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors

More information

A Hybrid Variational Iteration Method for Blasius Equation

A Hybrid Variational Iteration Method for Blasius Equation Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015), pp. 223-229 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) A Hybrd Varatonal Iteraton Method

More information

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng

More information

Constitutive Modelling of Superplastic AA-5083

Constitutive Modelling of Superplastic AA-5083 TECHNISCHE MECHANIK, 3, -5, (01, 1-6 submtted: September 19, 011 Consttutve Modellng of Superplastc AA-5083 G. Gulano In ths study a fast procedure for determnng the constants of superplastc 5083 Al alloy

More information

A new Approach for Solving Linear Ordinary Differential Equations

A new Approach for Solving Linear Ordinary Differential Equations , ISSN 974-57X (Onlne), ISSN 974-5718 (Prnt), Vol. ; Issue No. 1; Year 14, Copyrght 13-14 by CESER PUBLICATIONS A new Approach for Solvng Lnear Ordnary Dfferental Equatons Fawz Abdelwahd Department of

More information

/ n ) are compared. The logic is: if the two

/ n ) are compared. The logic is: if the two STAT C141, Sprng 2005 Lecture 13 Two sample tests One sample tests: examples of goodness of ft tests, where we are testng whether our data supports predctons. Two sample tests: called as tests of ndependence

More information

Beyond Zudilin s Conjectured q-analog of Schmidt s problem

Beyond Zudilin s Conjectured q-analog of Schmidt s problem Beyond Zudln s Conectured q-analog of Schmdt s problem Thotsaporn Ae Thanatpanonda thotsaporn@gmalcom Mathematcs Subect Classfcaton: 11B65 33B99 Abstract Usng the methodology of (rgorous expermental mathematcs

More information

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION

More information

between standard Gibbs free energies of formation for products and reactants, ΔG! R = ν i ΔG f,i, we

between standard Gibbs free energies of formation for products and reactants, ΔG! R = ν i ΔG f,i, we hermodynamcs, Statstcal hermodynamcs, and Knetcs 4 th Edton,. Engel & P. ed Ch. 6 Part Answers to Selected Problems Q6.. Q6.4. If ξ =0. mole at equlbrum, the reacton s not ery far along. hus, there would

More information

ONE DIMENSIONAL TRIANGULAR FIN EXPERIMENT. Technical Advisor: Dr. D.C. Look, Jr. Version: 11/03/00

ONE DIMENSIONAL TRIANGULAR FIN EXPERIMENT. Technical Advisor: Dr. D.C. Look, Jr. Version: 11/03/00 ONE IMENSIONAL TRIANGULAR FIN EXPERIMENT Techncal Advsor: r..c. Look, Jr. Verson: /3/ 7. GENERAL OJECTIVES a) To understand a one-dmensonal epermental appromaton. b) To understand the art of epermental

More information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

Problem Points Score Total 100

Problem Points Score Total 100 Physcs 450 Solutons of Sample Exam I Problem Ponts Score 1 8 15 3 17 4 0 5 0 Total 100 All wor must be shown n order to receve full credt. Wor must be legble and comprehensble wth answers clearly ndcated.

More information

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 30 Multcollnearty Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur 2 Remedes for multcollnearty Varous technques have

More information

Lab 2e Thermal System Response and Effective Heat Transfer Coefficient

Lab 2e Thermal System Response and Effective Heat Transfer Coefficient 58:080 Expermental Engneerng 1 OBJECTIVE Lab 2e Thermal System Response and Effectve Heat Transfer Coeffcent Warnng: though the experment has educatonal objectves (to learn about bolng heat transfer, etc.),

More information

Chapter 18, Part 1. Fundamentals of Atmospheric Modeling

Chapter 18, Part 1. Fundamentals of Atmospheric Modeling Overhead Sldes for Chapter 18, Part 1 of Fundamentals of Atmospherc Modelng by Mark Z. Jacobson Department of Cvl & Envronmental Engneerng Stanford Unversty Stanford, CA 94305-4020 January 30, 2002 Types

More information

A NEW EXPRESSION FOR RADIAL DISTRIBUTION FUNCTION OF NUCLEAR MATTER.

A NEW EXPRESSION FOR RADIAL DISTRIBUTION FUNCTION OF NUCLEAR MATTER. Mathematcal and Computatonal Applcatons, Vol. 16, No., pp. 414-44, 011. Assocaton for Scentfc Research A NEW EXPRESSION FOR RADIAL DISTRIBUTION FUNCTION OF NUCLEAR MATTER Fatma Mansa 1, Atalay Küçükbursa

More information

Process Modeling. Improving or understanding chemical process operation is a major objective for developing a dynamic process model

Process Modeling. Improving or understanding chemical process operation is a major objective for developing a dynamic process model Process Modelng Improvng or understandng chemcal process operaton s a major objectve for developng a dynamc process model Balance equatons Steady-state balance equatons mass or energy mass or energy enterng

More information

Lattice Boltzmann simulation of nucleate boiling in micro-pillar structured surface

Lattice Boltzmann simulation of nucleate boiling in micro-pillar structured surface Proceedngs of the Asan Conference on Thermal Scences 017, 1st ACTS March 6-30, 017, Jeju Island, Korea ACTS-P00545 Lattce Boltzmann smulaton of nucleate bolng n mcro-pllar structured surface Png Zhou,

More information

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

Prediction of Ultrasonic Velocity in Binary Mixtures of a Nuclear Extractant and Monocarboxylic Acids using Several Theoretical Models

Prediction of Ultrasonic Velocity in Binary Mixtures of a Nuclear Extractant and Monocarboxylic Acids using Several Theoretical Models Predcton of ltrasonc Velocty n Bnary Mxtures of a Nuclear Extractant and Monocarboxylc Acds usng Several Theoretcal Models R. K. Mshra 1, B. Dala 1*, N. Swan 2 and S.K. Dash 3 1 BSH, Gandh Insttute of

More information

Lecture 16 Statistical Analysis in Biomaterials Research (Part II)

Lecture 16 Statistical Analysis in Biomaterials Research (Part II) 3.051J/0.340J 1 Lecture 16 Statstcal Analyss n Bomaterals Research (Part II) C. F Dstrbuton Allows comparson of varablty of behavor between populatons usng test of hypothess: σ x = σ x amed for Brtsh statstcan

More information

Numerical Solution of Ordinary Differential Equations

Numerical Solution of Ordinary Differential Equations Numercal Methods (CENG 00) CHAPTER-VI Numercal Soluton of Ordnar Dfferental Equatons 6 Introducton Dfferental equatons are equatons composed of an unknown functon and ts dervatves The followng are examples

More information

Kernel Methods and SVMs Extension

Kernel Methods and SVMs Extension Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general

More information

Research Article Extension of LIR Equation of State to Alkylamines Using Group Contribution Method

Research Article Extension of LIR Equation of State to Alkylamines Using Group Contribution Method ISRN Physcal Chemstry Volume 013, Artcle ID 804576, 9 pages http://dx.do.org/10.1155/013/804576 Research Artcle Extenson of LIR Equaton of State to Alkylamnes Usng Group Contrbuton Method Zahra Kalantar,

More information

Multicomponent Vaporization Modeling of Petroleum-Biofuel Mixture at High-Pressure Conditions

Multicomponent Vaporization Modeling of Petroleum-Biofuel Mixture at High-Pressure Conditions ILASS Amercas, 3 rd Annual Conference on Lqud Atomzaton and Spray Systems, Ventura, CA, May 011 Multcomponent Vaporzaton Modelng of Petroleum-Bofuel Mxture at Hgh-Pressure Condtons L. Zhang and Song-Charng

More information

The Order Relation and Trace Inequalities for. Hermitian Operators

The Order Relation and Trace Inequalities for. Hermitian Operators Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence

More information

STUDY ON TWO PHASE FLOW IN MICRO CHANNEL BASED ON EXPERI- MENTS AND NUMERICAL EXAMINATIONS

STUDY ON TWO PHASE FLOW IN MICRO CHANNEL BASED ON EXPERI- MENTS AND NUMERICAL EXAMINATIONS Blucher Mechancal Engneerng Proceedngs May 0, vol., num. www.proceedngs.blucher.com.br/evento/0wccm STUDY ON TWO PHASE FLOW IN MICRO CHANNEL BASED ON EXPERI- MENTS AND NUMERICAL EXAMINATIONS Takahko Kurahash,

More information

THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD

THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD Journal of Appled Mathematcs and Computatonal Mechancs 7, 6(3), 7- www.amcm.pcz.pl p-issn 99-9965 DOI:.75/jamcm.7.3. e-issn 353-588 THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS

More information

ACTM State Calculus Competition Saturday April 30, 2011

ACTM State Calculus Competition Saturday April 30, 2011 ACTM State Calculus Competton Saturday Aprl 30, 2011 ACTM State Calculus Competton Sprng 2011 Page 1 Instructons: For questons 1 through 25, mark the best answer choce on the answer sheet provde Afterward

More information

Power law and dimension of the maximum value for belief distribution with the max Deng entropy

Power law and dimension of the maximum value for belief distribution with the max Deng entropy Power law and dmenson of the maxmum value for belef dstrbuton wth the max Deng entropy Bngy Kang a, a College of Informaton Engneerng, Northwest A&F Unversty, Yanglng, Shaanx, 712100, Chna. Abstract Deng

More information