Classical binary nucleation theory applied to the real mixture n-nonane/methane at high pressures

Size: px
Start display at page:

Download "Classical binary nucleation theory applied to the real mixture n-nonane/methane at high pressures"

Transcription

1 Classcal bnary nucleaton theory appled to the real mxture n-nonane/methane at hgh pressures K. N. H. Loojmans, a) C. C. M. Lujten, G. C. J. Hofmans, and M. E. H. van Dongen Department of Appled Physcs, Endhoven Unversty of Technology, 5600 MB Endhoven, The Netherlands Receved 6 September 1994; accepted 5 December 1994 A thermodynamc model of the formaton free energy of a droplet, based on a real equaton of state, has been mplemented n the bnary classcal nucleaton theory to analyze homogeneous nucleaton of mxtures of n-nonane and methane n the coexstence regon at hgh pressures. The composton of the crtcal nucleus s computed by solvng the Kelvn equatons, the chemcal potentals, and molar volumes beng evaluated from the Redlch Kwong Soave equaton of state. Real gas behavor appears to have a strong effect on nucleaton due to mutual nteractons between methane and nonane molecules. Numercal calculatons show an ncreasng concentraton of methane n crtcal clusters wth ncreasng pressure at fxed temperature and supersaturaton. As a consequence, the surface tenson of the crtcal droplets, whch s evaluated by means of the Parachor method, s lowered, havng a strong ncreasng effect on the nucleaton rate; a 10 bar ncrease of total pressure leads to an ncrease of the nucleaton rate of several orders of magntude Amercan Insttute of Physcs. I. INTRODUCTION Durng handlng and transport of natural gas, t s observed that large and sudden pressure drops may nduce mst formaton. Mutjens et al. 1 showed that the condensaton n the gas mxture s a nonequlbrum phase change of the hgher alkanes, such as nonane and decane, whch are present n the mxture besdes the man components methane and ntrogen. From the strong devaton from vapor lqud phase equlbrum of the onset ponts of condensaton measured n a Wlson cloud chamber, t was concluded that droplets were formed by a homogeneous nucleaton process. The measured onset ponts were located nsde the coexstence regon of the gas mxture n the p T phase dagram, above the crtcal temperature of the man component methane. Ths coexstence regon s characterzed by the appearance of real gas effects n condensaton, when pressure s above a few bars. The real gas effects become vsble n densty dependent solubltes affectng partal equlbrum vapor pressures, and n so-called retrograde condensaton,.e., condensaton nduced by a decrease of pressure. Up to now, no examples of applcaton of nucleaton theory to nucleaton n the coexstence regon at hgh pressures are known from lterature. In ths paper we present numercal calculatons based on classcal bnary nucleaton theory of the mxture n-nonane/methane. Snce natural gas conssts of many components, most of them beng heaver hydrocarbons, we chose the n-nonane/methane mxture as a model mxture to study homogeneous nucleaton. At pressures rangng from 10 to 200 bar correspondng to exploraton pressures of natural gas, the coexstence regons of natural gas and of the mxture mentoned above wth a molar n-nonane concentraton of about 10 4, largely concde n a Address all correspondence to: Endhoven Unversty of Technology, Faculty of Appled Physcs, P.O. Box 513, 5600 MB Endhoven, The Netherlands. the p T phase dagram and therefore are expected to exhbt smlar real gas effects n condensaton. From now on, we shall consder the n-nonane/methane mxture. The real gas effects due to the mutual nteractons of the nonane and methane molecules lead to a solublty of methane n lqud nonane that ncreases wth pressure. Snce the droplets wll contan a sgnfcant amount of methane besdes the nonane, the modelng of homogeneous nucleaton requres a bnary nucleaton model. The theory of homogeneous condensaton goes back to the work of Volmer and Weber 2 and Becker and Dörng. 3 They developed the classcal nucleaton theory CNT of pure vapors whch predcts the nucleaton rate,.e., the rate at whch crtcal nucle are formed. A major role n ths theory s played by the capllary approxmaton; propertes of mcroscopc droplets are taken as f the droplets were of macroscopc szes. Ress 4 extended CNT to bnary vapors. The calculaton of the knetc prefactor was mproved by Stauffer. 5 Later, the correctness of the mplementaton of the Gbbs Duhem dentty n bnary nucleaton theory was dscussed by Rennnger et al., 6 Doyle, 7 and Wlemsk. 8 Wlemsk 8 10 ntroduced the model of a droplet consstng of a bulk and a surface layer wth excess molecules, 11,12 and at the same tme ponted out the shortcomngs of ths model. Because of the rather unsatsfactory assumpton of the capllarty approxmaton for droplets that consst of typcally molecules, several attempts have been made to mprove CNT Refs wth varyng success. Numercal studes of bnary homogeneous condensaton wth CNT performed so far manly refer to aqueous solutons and mxtures of alcohols. Nucleaton rates were determned as a functon of actvtes of the speces present n the mxture, and attenton was pad to the composton of the crtcal cluster. 17 In the followng sectons we wll present an extenson of CNT allowng calculaton of nucleaton rates n mxtures showng real gas effects. Results obtaned wth the model are presented. J. Chem. Phys. 102 (11), 15 March /95/102(11)/4531/7/$ Amercan Insttute of Physcs 4531

2 4532 Loojmans et al.: Classcal bnary nucleaton theory II. BINARY HOMOGENEOUS NUCLEATION THEORY Snce the ntroducton of bnary nucleaton theory, dfferent models and nterpretatons have been publshed n the lterature. Therefore we shall gve a bref outlne of the theory as t s mplemented n our calculatons. The nucleaton rate s the number of droplets formed per unt tme and space. It s expressed n the followng form: J K e G/k B T. 1 K s a knetc prefactor, G n the exponental s the free reversble energy of formaton of a crtcal droplet, k B s Boltzmann s constant, and T the temperature. The energy of formaton G(n 1,n 2 ) s a functon of the numbers of partcles of speces 1 and 2 n the droplet. When the gas vapor mxture s n a supersaturated state, the G(n 1,n 2 ) plane exhbts a saddle pont. The poston of ths saddle pont s consdered to represent the crtcal nucleus. The crtcal nucleus s n unstable equlbrum wth the surroundng vapor, and the saddle pont forms the lowest passage over an energy barrer. Clusters passng over ths barrer wll grow to macroscopc droplets. Dfferent models have been employed to calculate G. In CNT, Gbbs capllarty approxmaton s used to descrbe the clusters on the bass of classcal thermodynamcs. A. Classcal droplet model We adopt the bnary classcal theory as descrbed by Wlemsk. In ths macroscopc model of a droplet and surroundng vapor, the droplet conssts of bulk lqud wth numbers of bulk molecules n 1 and n 2 and a surface layer wth l l numbers of surface molecules n s 1 and n s 2. Bulk and surface are consdered to be n thermodynamc equlbrum and the droplet s assumed to be ncompressble. The number of surface molecules s an excess number, defned as n s n n l n v, where n s the total number of molecules n the system, and n v s the number of molecules n the vapor. The excess molecules n s do not contrbute to the droplet volume. The presence of the surface layer n the droplet model mplctly takes nto account the effect of surface enrchment; the concentraton of speces 1 and 2 near the surface can dffer from the nteror composton. Accordng to ths droplet model, the free formaton energy s 8 G p p l V l A l v l n s v n s. 2 Chemcal potentals l and v are evaluated at pressures p l n the droplet and p v of the vapor, respectvely. V l s the droplet volume, A s the surface area, and the surface tenson. Because bulk lqud and surface are assumed to be n equlbrum, s l, bulk and surface molecules can be taken together n Eq. 2 ; n t n l n s. If we defne the dfference n chemcal potental between droplet and vapor as l ( l,t) v (p v,t), and furthermore assume that the formaton of clusters does not lead to a change of vapor pressure p.e., p v p, then G can be wrtten as G p v p l V l A n t. The saddle pont of ths G plane s determned by G n t sp 3 0,. 4 Combnng Eqs. 3 and 4 together wth the Gbbs Duhem relaton for the bulk, S l dt V l dp l n l d l p l,t 0, and the Gbbs adsorpton equaton for the surface, S s dt Ad n s d s 0, we arrve at 0. In dervng the last result, we used the Laplace relaton p l p v 2 /r, and the expressons for the volume and surface area of a sphercal droplet, V l n l v 4 3 r 3 and A 4 r 2. Usng the ncompressble flud approxmaton l (p l,t) l (p v,t) v (p l p v ) n whch v s the partal molecular volume of speces, one arrves at the so-called Gbbs Thomson or Kelvn equatons, * 2 v 0. r In ths equaton * l (p v,t) v (p v,t). As stated by Wlemsk, 9 all varables n these equatons are functons of bulk composton only. Therefore, at the saddlepont only the bulk composton can be obtaned from these equatons. The method descrbed by Laaksonen et al. 17 to calculate n s l and n cannot be appled here because the surface molecules do not contrbute to the droplet volume n ths model. The free energy of formaton of a crtcal cluster at the saddle pont follows from Eq. 3, wth 0, because the crtcal cluster s n unstable equlbrum wth the surroundng vapor, G sp 1 3 A. B. Knetcs The knetc prefactor K of Eq. 1 was frst derved by Ress 4 and later modfed by Stauffer. 5 The result obtaned by Stauffer s gven by the followng equatons: K NR av Z, where K s the product of the number densty N of monomers n the gas, an average growth rate R av and the Zeldovch factor Z. R av s gven by

3 Loojmans et al.: Classcal bnary nucleaton theory 4533 det R R av R 11 sn 2 R 22 cos 2 2R 12 sn cos ; 11 R av depends on the growth rate tensor R and on the angle of the drecton of the current of clusters n the saddle pont. We shall assume that no cluster cluster nteractons take place, but only monomers collde wth the crtcal cluster, then the elements of R are gven by 5 R R 11 R 12 R 21 R 22, R 11 A n 1,n 2 1, 12 R 12 R 21 0, R 22 A n 1,n 2 2, where A(n 1,n 2 ) s the cluster surface area, and 1 and 2 are the mpngement rates of molecules of substance 1 and 2. The expresson for the Zeldovch factor reads Z 1 2 G x,y 2 x 2 det D 1/2. 13 The tensor D conssts of the dervatves of G wth respect to the total number of molecules n the cluster. In combnaton wth CNT, a problem arses n the calculaton of R av and Z, because G s not known as a functon of the overall cluster composton, but only as a functon of bulk composton. Therefore D can not be determned exactly from ths model. However, as already remarked by Wlemsk, 9 ths wll not play a crucal role snce the nfluence of D s lmted to the relatvely unmportant knetc prefactor. III. A REAL GAS MODEL FOR G Calculaton of the nucleaton rate accordng to CNT requres a thermodynamc descrpton for the gas and lqud mxture takng nto account all real gas effects nvolved n the nucleaton process. Frst, the bulk composton of the crtcal droplet can be found by solvng an equaton that follows from a lnear combnaton of the Kelvn equatons: v 2 * 1 v 1 * For gven p and T, all quanttes n ths equaton are known functons of droplet bulk composton only, whch follow from the EOS. Second, t s not possble to evaluate mxture propertes from the propertes of the pure substances; methane s n a state n whch no pure lqud methane can exst. Surface tenson, whch s a very mportant parameter determnng the heght of the energy barrer G n Eq. 1, wll thus be estmated by usng an emprcal correlaton Parachor method. From several avalable equatons of state we selected the Redlch Kwong Soave RKS and the Lee Kesler Plöcker LKP equatons, because they proved to be well applcable to alkanes. 18 The RKS equaton s of the cubc type and therefore relatvely smple from a calculatonal pont of vew. The LKP equaton of state s a transcendental one, thus computatonally more complex. It s applcable, however, over a wder range of reduced temperatures. To compare both EOS to test ther sutablty to our applcaton, we calculated the equlbrum molar volume of the lqud as a functon of temperature and pressure. The molar volume s a very mportant parameter n our model because of ts appearance n the Kelvn equatons and n the surface tenson correlaton. The results obtaned were compared wth expermental data of Shpman et al. 19 Although RKS s known for ts poor predcton of lqud molar volume, results obtaned by RKS when Peneloux correcton 18 was ncluded turned out to be far better than LKP results n predctng the molar volumes RKS, less than 0.8% devaton from expermental data; LKP, up to 6% devaton. For ths reason, the RKS equaton of state was used for all thermodynamc calculatons throughout ths work. The RKS equaton has the followng form: p RT V RKS a b V RKS V RKS a, 15 where and a RT c p c b R2 T c p c wth 1 f 1 T 2 T c, f In these equatons, R s the unversal gas constant, V RKS s the molar volume subscrpt m s left out to avod confuson wth mxture propertes n the remander of ths text, s Ptzer s acentrc factor, and the subscrpt c refers to the crtcal pont. For a mxture, a and b are evaluated from the pure component values usng the mxng rules a m b m y a, j y y j b b j 1/2 1 k j. The quanttes y n the above expressons denote the molar fractons of the components, both n the vapor and lqud phases. From now on, however, we wll use x for the lqud molar fractons. In the last mxng rule, the nteracton parameter k j s ntroduced. Its value s determned by a ft to experments. 20 The RKS equaton s known to yeld too large values for the lqud molar volume V. The correcton term proposed by Peneloux 18 reads V V RKS c, where V s the corrected molar volume and c Z RA RT c p c 16

4 4534 Loojmans et al.: Classcal bnary nucleaton theory Z RA s the Rackett compressblty factor of the substance under consderaton. For a mxture, the correcton term s obtaned by usng the conventonal mxng rule c m x c. From the above equatons, an expresson for the chemcal potental can be derved n analytcal form n a standard way by ntegraton of pressure wth respect to volume obtanng the free energy F as a result and then takng the dervatve wth respect to n. In ths way an expresson of the form f (T,V,y ) s obtaned. For the lqud, of course, y s replaced by x. The partal molecular volumes are found by substtutng the mxng rules nto the RKS equaton and applyng standard expressons from thermodynamcs for the partal volumes N A denotes Avogadro s number, N A v 1 V RKS x 2 V RKS x 2 c 1, 17 V RKS N A v 2 V RKS x 1 c x In these equatons the Peneloux correcton has been used. Because of the use of the ncompressble flud approxmaton n dervng the Kelvn equatons 8, the molecular lqud volume has to be calculated at pressure p v outsde the droplet. Usng chemcal potentals and molecular volumes obtaned from Eqs n Eq. 14, a soluton for the droplet bulk composton s found, and * and v are known. Wth ths result, t s possble to calculate the droplet radus from ether one of the Kelvn equatons wrtten n the form r 2 v *. 19 The crtcal free energy barrer, G sp, s now obtaned from Eq. 9, provded that the surface tenson s known. Several correlatons exst for the surface tenson, most of whch need the pure component values as ther nput. Snce relevant temperatures are above the crtcal temperature of methane, these correlatons can not be used for the mxture under consderaton. A relaton that can be used for our purposes s the Macleod Sugden correlaton, 18 an expresson obtaned by the best ft to experments. It reads P x V l y v 20 V 1/4 n whch superscrpts l and v refer to lqud and vapor, respectvely. The parameters P are the so-called parachors of the components. Orgnally, Macleod suggested to calculate these from molecular structures; however, better agreement wth experments can be obtaned by emprcally fttng the parachor values to measurements. For our calculatons, the values obtaned by Deam and Maddox 21 are used. We note that the parachor method s a ft on bulk composton. Ths s consstent wth the fact that, as a soluton of the Kelvn equatons, bulk compostons are obtaned whch are substtuted nto Eq. 20 n order to fnd the surface tenson of the droplet. A lmtaton of ths method s the lack of a proper correcton for the curvature of the droplet surface whch s stll subject of dscusson n lterature What remans to be calculated, s the knetc prefactor K of expresson 1 n whch the second dervatves of G at the saddle pont poston wth respect to the total numbers of t t molecules, n 1 and n 2 are present. As was already ponted out n Sec. II B, we have no nformaton concernng the excess s numbers n 1 and n s 2. Accordng to Wlemsk, 9 the best one can do s usng Ress orgnal expresson for G,.e., G n l 1,n l 2 n l * A 21 keepng constant at the value of the crtcal droplet. The shape of the G surface obtaned n ths way s approxmately correct n the neghborhood of the saddle pont. For the mpngement rates present n the growth rate tensor R Eq. 12, the deal expresson / k B T/2 m s used, where s the number densty of monomers of speces and m s the molecular mass. It s expected that the values of only have a slght effect on the nucleaton rate. No specal attenton has been pad to the lmtng case to unary nucleaton. It may be expected that a small overestmate of the nucleaton rate appears, when the poston of the saddlepont s too close to the n 1 -axs. Ths mght occur n the low pressure lmt, n whch only a lttle methane wll be dssolved n the droplets. A more extensve treatment of ths matter s gven by Wlemsk. 25 Fnally, we ntroduce a supersaturaton S, whch wll be used n presentng results of our calculatons S y 1, 22 y 1,eq where y 1 and y 1,eq are the molar vapor fractons of nonane n the supersaturated state and at equlbrum, respectvely. The equlbrum molar fracton s calculated by equatng the FIG. 1. Contourplot of the free energy surface n the vcnty of the saddle pont. T 240 K, p 40 bar, and y (S 8). The value of G at the saddle pont s 65.5 k B T; contours correspond to ncrement steps of 1 k B T.

5 Loojmans et al.: Classcal bnary nucleaton theory 4535 FIG. 2. Nucleaton rate n the mxture n-nonane/methane as a functon of supersaturaton wth the total pressure as a parameter, T 240 K. FIG. 4. Methane lqud fracton as a functon of total pressure. The sold curve represents the composton of the crtcal droplet at supersaturaton S 20. The dashed curve refers to equlbrum lqud; T 240 K. chemcal potentals n the vapor and the lqud for both components at gven p and T. We emphasze that ths defnton s not used n the calculaton of nucleaton rates. The reason for usng the supersaturaton rato n representng the results s that S s consdered to be the drvng force behnd the condensaton process. The calculatons descrbed are mplemented n a FOR- TRAN numercal code. Calculatons can be performed for n-alkanes up to n-dodecane wth several carrer gases. The numercal values of the mxture n-nonane/methane, used n the present calculatons, are lsted n the Appendx. The program code s avalable upon request. IV. RESULTS AND DISCUSSION A plot of a typcal free energy surface accordng to Eq. 21 for the n-nonane/methane mxture s shown n Fg. 1. The condtons are T 240 K, p 40 bar, and the molar fracton of n-nonane n the gas y correspondng to a saturaton rato S 8. The crtcal cluster conssts of 66 nonane molecules and 11 methane molecules. Durng nucleaton, the saddle pont s passed n the drecton ndcated by the arrow. Fgures 2 and 3 show the nucleaton rate as a functon of supersaturaton wth the pressure as a parameter for two dfferent temperatures. The model predcts a large effect of total pressure on the nucleaton rate. At fxed supersaturaton, ncreasng pressure nduces an ncrease of nucleaton rate by several orders of magntude demonstratng real gas effects n homogeneous nucleaton. Apart from ths phenomenon, the generally observed exponental dependence of nucleaton rate on supersaturaton at gven total pressure and temperature can also be seen n the fgures. The nteracton of nonane and methane n the nucleaton process also comes forward when the composton of the crtcal cluster s consdered. The saddle pont of Fg. 1 already ndcated the presence of methane n the crtcal cluster. In Fg. 4 the molar fractons of methane n the crtcal cluster and n the correspondng equlbrum lqud state are plotted as a functon of pressure at fxed supersaturaton and temperature. The methane molar fracton ncreases from approxmately 0 at low pressure to 0.11 at 40 bar. Ths s less than the equlbrum molar fracton, but, as can be seen from Fg. 5, t has sgnfcant consequence for the surface tenson. The ncreasng amount of methane n the crtcal cluster lowers the surface tenson from N/m to N/m at 40 bar. The decrease of surface tenson has a drect FIG. 3. Nucleaton rate n the mxture n-nonane/methane as a functon of supersaturaton wth the total pressure as a parameter, T 260 K. FIG. 5. Surface tenson as a functon of pressure for fxed values of supersaturaton and temperature. The sold curve corresponds to the crtcal droplet composton, the dashed curve refers to the equlbrum composton.

6 4536 Loojmans et al.: Classcal bnary nucleaton theory FIG. 6. Pressure dependence of the equlbrum gas composton of the mxture n-nonane/methane. Dashed curve, nonane molar fracton n the gas phase at vapor lqud equlbrum at 240 K as a functon of the mxture total pressure. Sold curve correspondng equlbrum n-nonane vapor densty. consequence for the energy barrer G Eq. 9, whch s also reduced. Ths largely explans the enhanced nucleaton rate wth pressure. In Fgs. 2 and 3 the nucleaton rate was plotted as a functon of supersaturaton S. It has to be realzed here that the saturated nonane vapor densty tself depends on the mxture total pressure, as s shown n Fg. 6. Due to real gas effects, the solublty of nonane n the gas phase ncreases, resultng n an ncrease of equlbrum nonane concentraton y 1,eq and therefore an even stronger ncrease of equlbrum nonane vapor densty 1,eq, at pressures above 20 bar. So, S s not a measure for the actual nonane vapor densty when nucleaton rate curves at dfferent pressures are compared. In Fg. 7 the nucleaton rate s plotted as a functon of nonane vapor densty 1 whch s obtaned from the relaton 1 y 1 /V v, where V v s the molar volume of the vapor mxture. An ncrease of total pressure above 10 bar at fxed nonane vapor densty and temperature appears to reduce the nucleaton rate. Ths can also be observed n Fg. 8. In ths plot the nucleaton rate s gven as a functon of pressure sold curve wth a fxed nonane vapor densty of mol m 3. The dashed curve shows the nucleaton rate f not FIG. 8. Nucleaton rate as a functon of pressure for a fxed nonane vapor densty mol m 3. Sold curve, n-nonane/methane mxture calculated wth bnary nucleaton theory. Dashed curve, CNT for n-nonane wth an nert carrer gas; T 240 K. methane, but an nert carrer gas s added. The pronounced dfference between bnary nucleaton under real gas condtons and unary nucleaton wth an nert carrer gas s clear. Addng methane to nonane frst shows a strong ncrease of nucleaton rate, due to the lowerng of surface tenson caused by the presence of methane n the crtcal cluster. So, ntally ths effect domnates the effect of decreasng supersaturaton wth pressure. At hgher pressures, the stuaton s reversed and fnally, when pressure s hgh enough, thermodynamc equlbrum s attaned agan. Addng an nert component to a nonane vapor of fxed densty shows a monotoncally decreasng nucleaton rate wth nert gas pressure, ths beng a result of a hgher energy barrer due to the ncrease of lqud chemcal potental, whle vapor chemcal potental s not changed much. Recently, a reducton of the nucleaton rate wth ncreasng total pressure of 1-propanol n helum and n hydrogen, was expermentally found by Hest et al. 26 n a specal hgh pressure dffuson cloud chamber. Fnally, n Fg. 9 a p T phase dagram s shown of a FIG. 7. Nucleaton rate n the mxture n-nonane/methane as a functon of nonane vapor densty for dfferent total pressures at T 240 K. FIG. 9. p T dagram wth lnes of constant nucleaton rate for a gas mxture wth molar fracton n-nonane y The outer curve corresponds to vapor lqud equlbrum for gven nonane fracton. The labels denote the nucleaton rate n cm 3 s 1.

7 Loojmans et al.: Classcal bnary nucleaton theory 4537 n-nonane/methane mxture wth a nonane molar fracton of The outer curve, on whch the gas mxture wth gven nonane concentraton s n equlbrum wth the lqud phase, forms the boundary of the two-phase coexstence regon. Insde ths envelope, lnes of constant nucleaton rate are drawn, lnes representng hgher nucleaton rates are found further nwards the coexstence regon. Furthermore, lnes of gven nucleaton rate form retrograde curves, and they all appear to converge to the crtcal pont of the mxture. V. CONCLUSIONS The classcal bnary nucleaton theory has been extended wth a thermodynamc model takng nto account real gas effects. For calculatng chemcal potentals and molar volumes the RKS equaton of state was appled, surface tenson was modeled wth the Parachor method. Ths model enables the theoretcal study of homogeneous nucleaton of real gas mxtures n the coexstence regon, such as the n-nonane/ methane mxture, subject of the calculatons performed n ths paper. The model predcts for ths mxture an ncrease of nucleaton rate wth pressure when supersaturaton and temperature are fxed. Due to real gas effects, an ncreasng amount of methane s present n the crtcal droplet wth ncreasng pressure, as also occurs n equlbrum condensaton. The presence of methane n the crtcal cluster lowers the surface tenson, and therefore the free energy of formaton s lowered, leadng to an enhanced nucleaton rate. We have only presented calculatons for the n-nonane/ methane mxture. However, t s to be expected that smlar results are found n other mxtures at hgh pressures, when nteractons between the mxture components are present. An example s the n-nonane/ntrogen mxture. Up to now no expermental data of homogeneous nucleaton n the coexstence regon at hgh pressures have been publshed n lterature. Expermental work wth a nucleaton pulse expanson wave tube s n progress. 27,28 Results wll be publshed separately. APPENDIX Numercal values of the n-nonane/methane mxture used n the calculatons are lsted below. n-nonane: crtcal pressure p c 22.9 bar, crtcal temperature T c K, Ptzer s acentrc factor 0.445, Rackett compressblty factor Z RA , molar mass M g/mol, and parachor P p g 1/4 cm 3 s 1/2 mol 1. Methane: crtcal pressure p c 46.0 bar, crtcal temperature T c K, Ptzer s acentrc factor 0.011, Rackett compressblty factor Z RA , Molar mass M g/mol, and parachor P 81.0 g 1/4 cm 3 s 1/2 mol 1. The nteracton parameter for the mxture k j All lsted data can be found n the book of Red, Prausntz, and Polng, 18 except for the bnary nteracton parameter whch comes from Knapp et al M. J. E. H. Mutjens, V. I. Kalkmanov, M. E. H. v. Dongen, A. Hrschberg, and P. A. H. Derks, Rev. Inst. Fr. Pét. 47, M. Volmer and A. Weber, Z. Phys. Chem. 119, R. Becker and W. Dörng, Ann. Phys. 5, H. Ress, J. Chem. Phys. 18, D. Stauffer, J. Aerosol Sc. 7, R. G. Rennnger, F. C. Hller, and R. C. Bone, J. Chem. Phys. 75, G. J. Doyle, J. Chem. Phys. 75, G. Wlemsk, J. Chem. Phys. 80, G. Wlemsk, J. Phys. Chem. 91, G. Wlemsk, J. Chem. Phys. 88, J. W. Gbbs, The Scentfc Papers of J. W. Gbbs Volume 1 Dover, New York, J. S. Rowlnson and B. Wdom, Molecular Theory of Capllarty Clarendon, Oxford, J. Lothe and G. M. Pound, J. Chem. Phys. 36, A. Dllmann and G. E. A. Meer, J. Chem. Phys. 94, X. C. Zeng and D. W. Oxtoby, J. Chem. Phys. 95, H. R. Kobrae and B. R. Anderson, J. Chem. Phys. 94, A. Laaksonen, M. Kulmala, and P. E. Wagner, J. Chem. Phys. 99, R. C. Red, J. M. Prausntz, and B. E. Polng, The Propertes of Gases and Lquds McGraw Hll, New York, L. M. Shpman and J. P. Kohn, J. Chem. Eng. Data 11, H. Knapp, R. Dörng, L. Oellrch, U. Plöcker, and J. M. Prausntz, Vapor Lqud Equlbra for Mxtures of Low Bolng Substances Deutsche Gesellschaft für Chemsches Apparatewesen, Frankfurt am Man, J. R. Deam and R. N. Maddox, J. Chem. Eng. Data 15, R. C. Tolman, J. Chem. Phys. 17, S. M. Thompson, K. E. Gubbns, J. P. R. B. Walton, R. A. R. Chantry, and J. S. Rowlnson, J. Chem. Phys. 81, M. Njmejer, C. Brun, A. B. van Woerkom, A. F. Bakker, and J. M. J. van Leeuwen, J. Chem. Phys. 96, G. Wlemsk, J. Chem. Phys. 62, R. H. Hest, M. Janjua, and J. Ahmed, J. Phys. Chem. 98, K. N. H. Loojmans, P. C. Kresels, and M. E. H. Van Dongen, Exp. Fluds 15, K. N. H. Loojmans, J. F. H. Wllems, and M. E. H. v. Dongen, n Proceedngs of the 19th Internatonal Symposum on Shock Waves Sprnger, Berln, n press.

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

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

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

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

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

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

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

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

NUMERICAL DIFFERENTIATION

NUMERICAL DIFFERENTIATION NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the

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

Thermodynamics General

Thermodynamics General Thermodynamcs General Lecture 1 Lecture 1 s devoted to establshng buldng blocks for dscussng thermodynamcs. In addton, the equaton of state wll be establshed. I. Buldng blocks for thermodynamcs A. Dmensons,

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

( ) 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

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

(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

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

NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS

NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS IJRRAS 8 (3 September 011 www.arpapress.com/volumes/vol8issue3/ijrras_8_3_08.pdf NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS H.O. Bakodah Dept. of Mathematc

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

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

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

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

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

More information

The influence of non-ideal vapor-liquid-equilibrium on vaporization of multicomponent hydrocarbon fuels

The influence of non-ideal vapor-liquid-equilibrium on vaporization of multicomponent hydrocarbon fuels ICLASS 202, 2 th Trennal Internatonal Conference on Lqud Atomzaton and Spray Systems, Hedelberg, Germany, September 2-6, 202 The nfluence of non-deal vapor-lqud-equlbrum on vaporzaton of multcomponent

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

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

LNG CARGO TRANSFER CALCULATION METHODS AND ROUNDING-OFFS

LNG CARGO TRANSFER CALCULATION METHODS AND ROUNDING-OFFS CARGO TRANSFER CALCULATION METHODS AND ROUNDING-OFFS CONTENTS 1. Method for determnng transferred energy durng cargo transfer. Calculatng the transferred energy.1 Calculatng the gross transferred energy.1.1

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

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

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

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

Gasometric Determination of NaHCO 3 in a Mixture

Gasometric Determination of NaHCO 3 in a Mixture 60 50 40 0 0 5 15 25 35 40 Temperature ( o C) 9/28/16 Gasometrc Determnaton of NaHCO 3 n a Mxture apor Pressure (mm Hg) apor Pressure of Water 1 NaHCO 3 (s) + H + (aq) Na + (aq) + H 2 O (l) + CO 2 (g)

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

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

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

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

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

Structure and Drive Paul A. Jensen Copyright July 20, 2003

Structure and Drive Paul A. Jensen Copyright July 20, 2003 Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.

More information

Physics 5153 Classical Mechanics. Principle of Virtual Work-1

Physics 5153 Classical Mechanics. Principle of Virtual Work-1 P. Guterrez 1 Introducton Physcs 5153 Classcal Mechancs Prncple of Vrtual Work The frst varatonal prncple we encounter n mechancs s the prncple of vrtual work. It establshes the equlbrum condton of a mechancal

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

A Robust Method for Calculating the Correlation Coefficient

A Robust Method for Calculating the Correlation Coefficient A Robust Method for Calculatng the Correlaton Coeffcent E.B. Nven and C. V. Deutsch Relatonshps between prmary and secondary data are frequently quantfed usng the correlaton coeffcent; however, the tradtonal

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

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

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

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

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

APPENDIX 2 FITTING A STRAIGHT LINE TO OBSERVATIONS

APPENDIX 2 FITTING A STRAIGHT LINE TO OBSERVATIONS Unversty of Oulu Student Laboratory n Physcs Laboratory Exercses n Physcs 1 1 APPEDIX FITTIG A STRAIGHT LIE TO OBSERVATIOS In the physcal measurements we often make a seres of measurements of the dependent

More information

CHAPTER 14 GENERAL PERTURBATION THEORY

CHAPTER 14 GENERAL PERTURBATION THEORY CHAPTER 4 GENERAL PERTURBATION THEORY 4 Introducton A partcle n orbt around a pont mass or a sphercally symmetrc mass dstrbuton s movng n a gravtatonal potental of the form GM / r In ths potental t moves

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

Crystal nucleation in sub-microemulsions

Crystal nucleation in sub-microemulsions Crystal nucleaton n sub-mcroemulsons Zdeněk Kožíšek Insttute of Physcs AS CR, Praha, Czech Republc kozsek@fzu.cz Hroshma Unversty, Japan, October 13, 211 Web page: http://www.fzu.cz/ kozsek/lectures/mcro211.pdf

More information

CHEMICAL ENGINEERING

CHEMICAL ENGINEERING Postal Correspondence GATE & PSUs -MT To Buy Postal Correspondence Packages call at 0-9990657855 1 TABLE OF CONTENT S. No. Ttle Page no. 1. Introducton 3 2. Dffuson 10 3. Dryng and Humdfcaton 24 4. Absorpton

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

Formulas for the Determinant

Formulas for the Determinant page 224 224 CHAPTER 3 Determnants e t te t e 2t 38 A = e t 2te t e 2t e t te t 2e 2t 39 If 123 A = 345, 456 compute the matrx product A adj(a) What can you conclude about det(a)? For Problems 40 43, use

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

University of Washington Department of Chemistry Chemistry 453 Winter Quarter 2015

University of Washington Department of Chemistry Chemistry 453 Winter Quarter 2015 Lecture 2. 1/07/15-1/09/15 Unversty of Washngton Department of Chemstry Chemstry 453 Wnter Quarter 2015 We are not talkng about truth. We are talkng about somethng that seems lke truth. The truth we want

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

1 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations

1 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations Physcs 171/271 -Davd Klenfeld - Fall 2005 (revsed Wnter 2011) 1 Dervaton of Rate Equatons from Sngle-Cell Conductance (Hodgkn-Huxley-lke) Equatons We consder a network of many neurons, each of whch obeys

More information

Module 1 : The equation of continuity. Lecture 1: Equation of Continuity

Module 1 : The equation of continuity. Lecture 1: Equation of Continuity 1 Module 1 : The equaton of contnuty Lecture 1: Equaton of Contnuty 2 Advanced Heat and Mass Transfer: Modules 1. THE EQUATION OF CONTINUITY : Lectures 1-6 () () () (v) (v) Overall Mass Balance Momentum

More information

Color Rendering Uncertainty

Color Rendering Uncertainty Australan Journal of Basc and Appled Scences 4(10): 4601-4608 010 ISSN 1991-8178 Color Renderng Uncertanty 1 A.el Bally M.M. El-Ganany 3 A. Al-amel 1 Physcs Department Photometry department- NIS Abstract:

More information

THE IGNITION PARAMETER - A quantification of the probability of ignition

THE IGNITION PARAMETER - A quantification of the probability of ignition THE IGNITION PARAMETER - A quantfcaton of the probablty of ton INFUB9-2011 Topc: Modellng of fundamental processes Man author Nels Bjarne K. Rasmussen Dansh Gas Technology Centre (DGC) NBR@dgc.dk Co-author

More information

Prof. Dr. I. Nasser Phys 630, T Aug-15 One_dimensional_Ising_Model

Prof. Dr. I. Nasser Phys 630, T Aug-15 One_dimensional_Ising_Model EXACT OE-DIMESIOAL ISIG MODEL The one-dmensonal Isng model conssts of a chan of spns, each spn nteractng only wth ts two nearest neghbors. The smple Isng problem n one dmenson can be solved drectly n several

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

Indeterminate pin-jointed frames (trusses)

Indeterminate pin-jointed frames (trusses) Indetermnate pn-jonted frames (trusses) Calculaton of member forces usng force method I. Statcal determnacy. The degree of freedom of any truss can be derved as: w= k d a =, where k s the number of all

More information

Entropy generation in a chemical reaction

Entropy generation in a chemical reaction Entropy generaton n a chemcal reacton E Mranda Área de Cencas Exactas COICET CCT Mendoza 5500 Mendoza, rgentna and Departamento de Físca Unversdad aconal de San Lus 5700 San Lus, rgentna bstract: Entropy

More information

Uncertainty in measurements of power and energy on power networks

Uncertainty in measurements of power and energy on power networks Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:

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

2016 Wiley. Study Session 2: Ethical and Professional Standards Application

2016 Wiley. Study Session 2: Ethical and Professional Standards Application 6 Wley Study Sesson : Ethcal and Professonal Standards Applcaton LESSON : CORRECTION ANALYSIS Readng 9: Correlaton and Regresson LOS 9a: Calculate and nterpret a sample covarance and a sample correlaton

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

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

The Feynman path integral

The Feynman path integral The Feynman path ntegral Aprl 3, 205 Hesenberg and Schrödnger pctures The Schrödnger wave functon places the tme dependence of a physcal system n the state, ψ, t, where the state s a vector n Hlbert space

More information

Be true to your work, your word, and your friend.

Be true to your work, your word, and your friend. Chemstry 13 NT Be true to your work, your word, and your frend. Henry Davd Thoreau 1 Chem 13 NT Chemcal Equlbrum Module Usng the Equlbrum Constant Interpretng the Equlbrum Constant Predctng the Drecton

More information

Review of Classical Thermodynamics

Review of Classical Thermodynamics Revew of Classcal hermodynamcs Physcs 4362, Lecture #1, 2 Syllabus What s hermodynamcs? 1 [A law] s more mpressve the greater the smplcty of ts premses, the more dfferent are the knds of thngs t relates,

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

Irregular vibrations in multi-mass discrete-continuous systems torsionally deformed

Irregular vibrations in multi-mass discrete-continuous systems torsionally deformed (2) 4 48 Irregular vbratons n mult-mass dscrete-contnuous systems torsonally deformed Abstract In the paper rregular vbratons of dscrete-contnuous systems consstng of an arbtrary number rgd bodes connected

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

On the correction of the h-index for career length

On the correction of the h-index for career length 1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat

More information

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests Smulated of the Cramér-von Mses Goodness-of-Ft Tests Steele, M., Chaselng, J. and 3 Hurst, C. School of Mathematcal and Physcal Scences, James Cook Unversty, Australan School of Envronmental Studes, Grffth

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

Suppose that there s a measured wndow of data fff k () ; :::; ff k g of a sze w, measured dscretely wth varable dscretzaton step. It s convenent to pl

Suppose that there s a measured wndow of data fff k () ; :::; ff k g of a sze w, measured dscretely wth varable dscretzaton step. It s convenent to pl RECURSIVE SPLINE INTERPOLATION METHOD FOR REAL TIME ENGINE CONTROL APPLICATIONS A. Stotsky Volvo Car Corporaton Engne Desgn and Development Dept. 97542, HA1N, SE- 405 31 Gothenburg Sweden. Emal: astotsky@volvocars.com

More information

STATISTICAL MECHANICAL ENSEMBLES 1 MICROSCOPIC AND MACROSCOPIC VARIABLES PHASE SPACE ENSEMBLES. CHE 524 A. Panagiotopoulos 1

STATISTICAL MECHANICAL ENSEMBLES 1 MICROSCOPIC AND MACROSCOPIC VARIABLES PHASE SPACE ENSEMBLES. CHE 524 A. Panagiotopoulos 1 CHE 54 A. Panagotopoulos STATSTCAL MECHACAL ESEMBLES MCROSCOPC AD MACROSCOPC ARABLES The central queston n Statstcal Mechancs can be phrased as follows: f partcles (atoms, molecules, electrons, nucle,

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

Chapter 11 Structure of Matter 133 Answers to the Conceptual Questions

Chapter 11 Structure of Matter 133 Answers to the Conceptual Questions hapter 11 Structure of Matter 1 Answers to the onceptual Questons 1. These models gave detaled explanatons for events that had already occurred but lacked any predctve power.. Many examples apply.. Although

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

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

Thermodynamics Second Law Entropy

Thermodynamics Second Law Entropy Thermodynamcs Second Law Entropy Lana Sherdan De Anza College May 8, 2018 Last tme the Boltzmann dstrbuton (dstrbuton of energes) the Maxwell-Boltzmann dstrbuton (dstrbuton of speeds) the Second Law of

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

Nucleation kinetics in closed systems

Nucleation kinetics in closed systems Nucleaton knetcs n closed systems COST Acton CM142: From molecules to crystals how do organc molecules form crystals? Zdeněk Kožíšek Insttute of Physcs of the Czech Academy of Scences, Prague, Czech Republc

More information

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons

More information

Physics 181. Particle Systems

Physics 181. Particle Systems Physcs 181 Partcle Systems Overvew In these notes we dscuss the varables approprate to the descrpton of systems of partcles, ther defntons, ther relatons, and ther conservatons laws. We consder a system

More information

9 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations

9 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations Physcs 171/271 - Chapter 9R -Davd Klenfeld - Fall 2005 9 Dervaton of Rate Equatons from Sngle-Cell Conductance (Hodgkn-Huxley-lke) Equatons We consder a network of many neurons, each of whch obeys a set

More information

Three-Phase Distillation in Packed Towers: Short-Cut Modelling and Parameter Tuning

Three-Phase Distillation in Packed Towers: Short-Cut Modelling and Parameter Tuning European Symposum on Computer Arded Aded Process Engneerng 15 L. Pugjaner and A. Espuña (Edtors) 2005 Elsever Scence B.V. All rghts reserved. Three-Phase Dstllaton n Packed Towers: Short-Cut Modellng and

More information

Frequency dependence of the permittivity

Frequency dependence of the permittivity Frequency dependence of the permttvty February 7, 016 In materals, the delectrc constant and permeablty are actually frequency dependent. Ths does not affect our results for sngle frequency modes, but

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

Tensor Smooth Length for SPH Modelling of High Speed Impact

Tensor Smooth Length for SPH Modelling of High Speed Impact Tensor Smooth Length for SPH Modellng of Hgh Speed Impact Roman Cherepanov and Alexander Gerasmov Insttute of Appled mathematcs and mechancs, Tomsk State Unversty 634050, Lenna av. 36, Tomsk, Russa RCherepanov82@gmal.com,Ger@npmm.tsu.ru

More information

EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES

EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES Manuel J. C. Mnhoto Polytechnc Insttute of Bragança, Bragança, Portugal E-mal: mnhoto@pb.pt Paulo A. A. Perera and Jorge

More information

Thermo-Calc Software. Modelling Multicomponent Precipitation Kinetics with CALPHAD-Based Tools. EUROMAT2013, September 8-13, 2013 Sevilla, Spain

Thermo-Calc Software. Modelling Multicomponent Precipitation Kinetics with CALPHAD-Based Tools. EUROMAT2013, September 8-13, 2013 Sevilla, Spain Modellng Multcomponent Precptaton Knetcs wth CALPHAD-Based Tools Kasheng Wu 1, Gustaf Sterner 2, Qng Chen 2, Åke Jansson 2, Paul Mason 1, Johan Bratberg 2 and Anders Engström 2 1 Inc., 2 AB EUROMAT2013,

More information

Lecture Notes on Linear Regression

Lecture Notes on Linear Regression Lecture Notes on Lnear Regresson Feng L fl@sdueducn Shandong Unversty, Chna Lnear Regresson Problem In regresson problem, we am at predct a contnuous target value gven an nput feature vector We assume

More information

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information

THE VIBRATIONS OF MOLECULES II THE CARBON DIOXIDE MOLECULE Student Instructions

THE VIBRATIONS OF MOLECULES II THE CARBON DIOXIDE MOLECULE Student Instructions THE VIBRATIONS OF MOLECULES II THE CARBON DIOXIDE MOLECULE Student Instructons by George Hardgrove Chemstry Department St. Olaf College Northfeld, MN 55057 hardgrov@lars.acc.stolaf.edu Copyrght George

More information

Chapter 5 rd Law of Thermodynamics

Chapter 5 rd Law of Thermodynamics Entropy and the nd and 3 rd Chapter 5 rd Law o hermodynamcs homas Engel, hlp Red Objectves Introduce entropy. Derve the condtons or spontanety. Show how S vares wth the macroscopc varables,, and. Chapter

More information