Four Parameter Heat Transfer Turbulence Models for Heavy Liquid Metals

Size: px
Start display at page:

Download "Four Parameter Heat Transfer Turbulence Models for Heavy Liquid Metals"

Transcription

1 J. Energy Power Sources Vol., No., 015, pp Receved: January 9, 015, Publshed: February 8, 015 Journal of Energy and Power Sources Four Parameter Heat Transfer Turbulence Models for Heavy Lqud Metals Sandro Manservs and Flppo Menghn DIN, Lab. d Montecuccolno, Unversty of Bologna, Va de Coll, 16, Bologna, Italy Correspondng author: Sandro Manservs (sandro.manservs@unbo.t) Abstract: In advanced Gen IV nuclear reactors heavy lqud metals are consdered as coolant for ther hgh conductvty and specfc neutronc propertes. These fluds have a very low Prandtl number and show a pecular heat transfer where conducton can be the domnant mechansm at very hgh Reynolds numbers. In ordnary fluds varous turbulence models are avalable to match the expermental data: Smlarty between velocty and thermal turbulent felds s assumed n almost all commercal Computatonal Flud Dynamcs codes and the smple eddy dffusvty model wth constant turbulent Prandtl number s mplemented. In low Prandtl number fluds ths model fals to reproduce standard correlatons buld from expermental data. Therefore t s mportant to develop new heat transfer turbulence models that are able to reproduce numercally the physcal behavor. In ths wor we present dfferent turbulence models to study the heat transfer n heavy lqud metal turbulent flows. Results obtaned wth the smple eddy dffusvty model are reported. More complex four parameter turbulence models are also presented and numercal results n smple geometres are reported. For a large range of forced flows wth no smlarty between velocty and thermal felds a four parameter turbulence model s a powerful tool for predctng the heat transfer. Keywords: Turbulence models, heat transfer, heavy lqud metals. 1. Introducton For the next GEN IV nuclear reactors, heavy lqud metals are often consdered n the engneerng communty as coolant fluds because of ther physcal propertes ncludng hgh conductvty, low vscosty and excellent neutronc propertes for fast-spectrum nuclear reactors. In the desgn of these reactors CFD computatons are usually performed wth smple eddy dffusvty models by mposng a constant turbulent Prandtl number. Ths model, mplemented n standard commercal codes as the only heat transfer turbulence model, s nown to be napproprate for no untary Prandtl fluds because there s a strong dssmlarty between thermal and velocty felds [1]. Usng these smple eddy dffusvty models an expermental nvestgaton to assgn the correct turbulent Prandtl number s needed for any dfferent geometry. Therefore t could be very useful to be able to predct the space dstrbuton of the turbulent Prandtl number by usng a turbulence model. On the last several years four parameter turbulence models have been developed rapdly startng from the Algebrac Flux Model (AFM) based on mplct or explct formulaton [-9]. The mplct methods rely on an algebrac soluton of the correspondng transport equaton whle the explct ones approxmate the mplct term by ntroducng the velocty and temperature tme scales (see [-6] and references theren). Heat transfer two-equaton models have been tested aganst DNS smulatons for low Reynolds numbers n very smple Cartesan geometres but a full test aganst expermental correlatons and data has not been yet nvestgated n a satsfactory way [, 4, 9-10]. Expermental data on heavy lqud metals over a large range of Prandtl and Reynolds numbers are dffcult to fnd n lterature and often these data do not agree among

2 64 Four Parameter Heat Transfer Turbulence Models for Heavy Lqud Metals dfferent authors because these experments are very dffcult to carry on and there are many error sources, see [1]. For smple cylndrcal geometry, one can consder the two man correlatons whch have been studed n lterature for lqud metals flowng n crcular ppes wth a unform heat flux at the wall: The theoretcal modfed Lyon equaton and the Krllov-Ushaov expermental correlaton. These correlatons are usually consdered for the evaluaton of the heat transfer coeffcents n cylndrcal geometry. The heat transfer coeffcent h = q/dt s usually defned n order to characterze the heat transfer between a sold and a flud, where convecton and conducton processes are nvolved. The quantty q s the heat flux through the sold surface and DT the temperature dfference between the wall T w and the surroundng flowng coolant T b. The coeffcent h s usually evaluated wth the ntroducton of the Nusselt number Nu = hd h /λ, where D h s the hydraulc dameter and λ s the thermal conductvty of the lqud. Comparng these two expressons, t s easy to note that the theoretcal equaton and the expermental correlatons cannot match for large range of Reynolds numbers, f a constant turbulent Prandtl number s consdered. Other correlatons have been proposed for dfferent geometres, le trangular rod bundle geometry or annular geometry. These correlatons are very mportant snce they are commonly used by engneers to predct heat transfer n nuclear reactor cores. For trangular rod bundle geometry the most common employed correlaton s the one by Krllov and Ushaov, whle for annular geometry Dwyer, Hartnett and Irvne have proposed correlatons based on expermental data. For a revew on these correlatons see [6-11] and references theren. The present wor addresses an effort to mprove the predcton of turbulent heat flux n flows under complete dssmlarty between velocty and thermal felds as t happens for a LBE flud. We consder the standard SED turbulence model wth a constant value of the turbulent Prandtl number whch can be found n commercal codes and three more complex four equaton turbulence models. In the next secton we derve the transport equatons of the turbulence models just mentoned and we report them. In the followng secton we report some numercal results obtaned wth these models n order to show the features of each of them. Fnally we draw our concluson.. Turbulence Models for Lqud Metals.1 Reynolds Averaged State Equatons The moton of ncompressble fluds s descrbed by the equatons of conservaton of mass, momentum and energy. In order to descrbe turbulent flows, one can apply the Reynolds averagng procedure to the fundamental dynamc equatons and obtan a set of transport equatons for averaged felds. Throughout the rest of the paper, the usual Ensten notaton for summaton over repeated ndces s assumed. In order to solve for the flow varables we consder the system of conservaton equatons u u = = 0 (1) x u ρ + ρu t u x = x j σ j x ρu ' u ' + ρg () T T T ρcp +u = λ ρcpu' T' +Q t x x x (3) x where u and T are the averaged velocty and temperature felds. Moreover, the Reynolds stress tensor u'u' s the averaged product of velocty fluctuatons and the turbulent heat flux densty u't' s the averaged product of velocty and temperature fluctuatons. We also defne the stress tensor and the velocty deformaton tensor as u u j σj : = pδj + μsj, Sj : = + (4) x j x where μ s the molecular vscosty. In Eqs. (1)-(3) the unnown Reynolds stress u'u' and the turbulent heat flux u't' can be seen as solutons of two transport evoluton equatons. The Reynolds stress transport equaton for each stress component of the tensor u'u' can be wrtten as [7]

3 Four Parameter Heat Transfer Turbulence Models for Heavy Lqud Metals 65 u' u j' + u t x u ' u ' = L j j + D T j + j + P E (5) where P and L are the stress producton term and the lamnar dffuson term defned by u j u Pj = u ' ul' + u j' ul' xl xl (6) L u ' u j' D j = ν x l xl The remanng terms D T, Φ, E descrbng the turbulent dffuson, the pressure stran and the dsspaton respectvely, must be modelled n order to obtan the soluton of Eq. (5). The turbulent heat flux transport equaton for each component u't' can be wrtten as [7] L T u ' T' +u u ' T' = Dt + Dt + Πt + Pt Et (7) t x where P t s the producton term gven by T u P t = u ' ul' + ul' T' (8) xl xl Unle the prevous case both the molecular and turbulent energy dffuson terms D T must be modelled, along wth the pressure correlaton Π t and the destructon rate vector E t.. Approxmaton of the Momentum Turbulent Transport Equaton We can approxmate the Eq. (5) wth a two-equaton turbulence model. A great varety of models s avalable n lterature. For the momentum flux, we consder the standard sotropc eddy-vscosty assumpton and defne the turbulent netc energy and ts dsspaton rate by 1 u' κ = u' u' ε = ν :, :, : (9) x j Cm wth turbulent vscosty ν t = C μ /ε and C μ = By tang Eq. (5) for = j = 1,, 3 and addng the three components we can wrte an equaton for the trace κ as follows: κ κ +u = t x x j ν + σκ κ + P ε (10) x j j j wth u u u j u P = u ' u j' = ν : t + (11) x j x j x x j In a smlar way one can wrte an equaton for the turbulent energy dsspaton rate ε as +u = ν+ +C1 P C t x x j σ (1) x j κ but sometmes t s convenent to solve the equaton for the specfc dsspaton rate defned as ω = ε/(c μ κ), namely ω ω ω ω +u = ν+ +C1 P Cω t x x j σ (13) ω x j κ wth P defned by Eq. (11). Many turbulence models can be used for the defnton of the eddy vscosty ν t and of the coeffcents C 1ε and C ε or C 1ω and C ω..3 Approxmaton of the Energy Turbulent Transport Equaton We can approxmate the Eq. (7) wth a two-equaton turbulence model n a smlar way as we have done for the momentum turbulence model. For the heat flux, we neglect the D t and E t terms and approxmate the total dervatve term as [4-6] Cm u ' T' u T +ul' T' = u ' ul' + Et (14) R τu xl xl wth τ t = Rτ u, τ u = κ/ε. In analogy wth the defntons n Eq. (9) we ntroduce the square averaged temperature fluctuatons and ts dsspaton rate gven by 1 ν T' t = T' εt = :, :, Pr x t j t κ : (15) Cmt and defne the characterstc tme τ t = κ t /ε t and the rato R = τ t /τ u = (κ t /ε t )/(κ/ε). From the algebrac Eq. (14), called Algebrac Flux Model (AFM), dfferent approxmatons can be consdered. By neglectng E t together wth the second term on the left nvolvng mean velocty gradent and assumng R = 0.5 we can recover the smple Eddy Dffusvty Model (SED). In the SED model we replace each term of the tensor u'u' by ts trace κ and wrte

4 66 Four Parameter Heat Transfer Turbulence Models for Heavy Lqud Metals T u ' T' = (16) Prt0 x where Pr t0 = s the turbulent Prandtl number whch s assumed to be a constant. Agan from the algebrac Eq. (14) by approxmatng the velocty gradent wth a constant term proportonal to τ u = κ/ε and neglectng the E t term we can wrte T T u ' T' = R = (17) R +Cm Cμ x Prt x where R +Cγ Pr t = Prt0Cα (18) R wth C constants and R = (κ t /ε t )/(κ/ε). Clearly ths expresson neglects the dsspaton term E t n Eq. (14). Ths contrbuton s often taen nto account as T Et = Bν,,Pr,R (19) CαPrt0 x The functon B(ν, ν t, Pr, R) can tae several forms and the nterested reader can consult [-6]. The fnal form of the turbulent Prandtl number n the thermal turbulence model can be wrtten as [, 4] 1 R + Cγ Prt = Prt0 Cα (0) Bν,,Pr,R+ 1 R The thermal flux Eq. (17) and the turbulent Prandtl number Eq. (0) can be used to solve the energy equaton for the flud T T T Q +u = α + αt + (1) t x x x ρc p wth the turbulence thermal conductvty defned by α t = ν t /Pr t. In ths model the turbulent Prandtl number s not constant and depends on R and therefore on κ t and ε t or ω t. The equaton for the averaged temperature squared fluctuatons κ t s defned by the followng transport equaton [6] κt κt α t κt +u = α+ + Pt εt () t x x σ κ x t where T T P t : = u' T' = (3) x Prt x In a smlar way an equaton for ε t can be wrtten as [6] ε t εt α t ε t +u = α+ t x x j σt x j εt εt C p1pt Cd1εt + C pp C ε κ κ + d t (4) where P s defned by Eq. (11). The coeffcents can be assumed constant or as model functons. For detals on the κ t -ε t model see [6-8]. If one solves the system Eqs. ()-(4) then the functon R can be computed as R = (κ t /ε t )/(κ/ε)..4 Boundary Condtons The boundary condtons have to be defned for every formulaton of the four parameter turbulence model. The wall functon approach s not consdered here for heavy lqud metal. The boundary condtons on the sold surfaces are mposed on a cylndrcal surface at a dstance δ from the physcal wall, nsde the flud. The dstance δ depends on the mesh sze of the boundary layer regon. We refne the mesh untl the surface defned by the dstance δ les n the vscous lamnar regon, then we enforce the near-wall boundary condtons. For κ-ε and κ-ω models the near wall boundary condtons are κ = 0, ϵ = 6ν κ, ω = 6ν 1 (5) δ βδ where we have assumed full sotropy for the dsspaton on the wall. We remar that usng these boundary condtons and κ-ε model the two varables are coupled on the wall because of the presence of κ n ε boundary condton. On the contrary, usng a κ-ω formulaton the two varables do not depend on each other on the wall, so the equatons can be solved n a segregated way. For the thermal felds the boundary condtons to be mposed depend on the thermal problem. If a constant temperature s assgned then the square averaged temperature fluctuatons κ t have to be set to zero on the wall. If a constant heat flux s mposed on the wall then κ t can be dfferent from zero and a dfferent boundary condton has to be set. A dscusson over the approprate boundary condtons to be set and over the dfferences arsng n the results obtaned can be found n [6]. In the followng we wll use mxed heat flux

5 Four Parameter Heat Transfer Turbulence Models for Heavy Lqud Metals 67 boundary condtons κ t = 0, ϵ t = 6α κ t, ω δ t = 6α 1 (6) βδ by mposng null temperature fluctuatons on the wall and ε t or ω t as n Eq. (6) n order to obtan the correct value of R = Pr on the wall [6]. 3. Numercal Results In ths secton we report the numercal results obtaned wth all the turbulence models just presented n smple geometres, namely plane, cylnder and annulus wth unform heat flux on the wall. We have smulated fully developed turbulent flows of a lead-bsmuth eutectc alloy wth physcal propertes gven n Table 1 and a Pr A constant temperature T = K and a flat velocty profle are assumed on the nlet secton wth the Reynolds number of approxmately 5, ,000. We assume a unform heat flux of q = 3.6e + 5 W m - on the heated walls and standard outflow condtons on the outlet. In the next two paragraphs we report the results obtaned wth the standard SED model and we compare these ones wth those obtaned wth a κ-ω-κ t -ε t model. In the last two paragraphs we present the results obtaned wth the κ-ε-κ t -ε t and wth the κ-ω-κ t -ω t four parameter turbulence models. 3.1 κ-ω-sed Model In ths paragraph we report some numercal results obtaned wth the standard SED model n cylndrcal geometry. All the commercal codes have a zero-order turbulence energy model based on a standard momentum turbulence model. Ths turbulence energy model, called SED (smple eddy dffusvty) model, s smply defned by T T u ' T' = R = (7) R +Cm Cμ x Prt x where the turbulent Prandtl number Pr t s assumed to be nown and constant. The turbulence model s needed for the computaton of the eddy vscosty whle the eddy thermal dffusvty s drectly proportonal to the eddy vscosty by mean of the turbulent Prandtl number. For Table 1 LBE propertes at the reference temperature T = K. Propertes Values Unts Densty ρ 10,340 Kg m -3 Dynamc vscosty μ Pa s Thermal conductvty λ 10.7 W (m K) -1 Specfc Heat capacty Cp J (Kg K) -1 cylndrcal geometres some theoretcal and expermental correlatons are avalable for the computaton of the Nusselt number. As a reference correlaton, we can use the one that has been developed theoretcally by Lyon startng from the Naver-Stoes equaton and the expermental one obtaned by Krllov. The Lon correlaton s well nown n the followng form Pe Nu = (8) Pr t whle the expermental Krllov-Ushaov correlaton can be wrtten as Nu = 4.5+ Pe (9) The computatonal doman for the cylndrcal geometry, as shown n Fg. 1a, conssts of a smple cylnder wth a total length L = 3 m and dameter D = 55.8 mm. We assume a unform heat flux of q = 360,000 W m - on the heated wall and compare the results wth the above mentoned correlatons (8) and (9) for the predcton of the Nusselt number. In ths geometry we consder the smple SED approach, where only the sngle κ-ω turbulent model s consdered. Ths may be used to test how the CFD approach can deal wth ths type of problems wthout any turbulence energy transport model. In Fg. 1b one can see the asymptotc Nusselt number Nu as a functon of the Peclet number Pe for three cases: Emprcal Krllov-Ushaov correlaton (K), modfed Lyon correlaton wth Pr t = 0.85 (L) and computed values wth the SED model mplemented n Fluent (F) and n the FEM code, an n-house fnte element code (E). From the computatonal pont of vew we see that, n the explored range of veloctes, the smple standard SED turbulent heat transfer model reproduces the correlaton n Eq. (8) wth a constant Prandtl number

6 68 Four Parameter Heat Transfer Turbulence Models for Heavy Lqud Metals Lyon correlaton provdes results whch are closer to the expermental Krllov-Ushaov correlaton. Unfortunately an expresson for the varable turbulent Prandtl number, such as Eq. (30), s nown only emprcally and studed for partcular geometres and boundary condtons. For dfferent geometres and boundary condtons new expressons have to be found based on expermental results. 3. κ-ω-κ t -ε t Model Fg. 1 Cylndrcal geometry, and asymptotc Nusselt number Nu, as a functon of the Peclet number Pe, for the cylnder ppe heated wth constant heat flux: Emprcal Krllov correlaton (K), Lyon correlaton (L) and the computed values wth the smple dffusvty model (Pr t = 0.85) mplemented n Fluent (F). (Pr t = 0.85). Ths correlaton may be vald for water and ar but t does not seem to be approprate for lqud metals. In fact the predctons of ths model for lqud metals are qute dfferent from the values of the expermental correlaton proposed by Krllov-Ushaov. In partcular the values of the Nusselt number calculated by CFD smulatons are greater than data from the expermental correlaton. In order to match the expermental data a number of formulas have been suggested for Pr t whch are vald for dfferent ranges of the Reynolds numbers [1]. For example, n order to reproduce the expermental data of the Krllov-Ushaov correlaton n ths range of Pe, one can use Lyon correlaton and defne varable turbulent Prandtl number Pr t as [1] Pe Pr t = (30) Pe Wth these values of the turbulent Prandtl number, In ths paragraph we report the numercal results obtaned wth the κ-ω-κ t -ε t model and compare them wth the standard SED model ones. Snce n commercal codes the use of the κ-ω model s very popular we construct a κ-ω-κ t -ε t four parameter model and devote ths secton to the computaton of the heat transfer coeffcent for cylndrcal and annular geometry n forced flows wth no gravty by usng the four parameter κ-ω-κ t -ε t model. As ntroduced n the prevous secton, ths model conssts of a κ-ω system for the transport of turbulent momentum and a κ t -ε t two-equaton model for the transport of turbulent energy as defned n Eqs. (10)-(13) and Eqs. ()-(4). In order to valdate the four parameter model we would le to compare the computatonal results wth the Krllov-Ushaov expermental data represented through the correlaton (9) for the case of a cylndrcal geometry wth unform heat flux on the wall. For these computatons we have used the coeffcents defned n [4-5], namely C d1 = 0.9, C p = The dsspaton term n Eq. (19) has been modelled as [4] R 10 B (31) 3/ 4 ν,,pr,r = exp R / 5 1/ 4 et Pr 1 + Pr Rt wth R t = κ²/νε, R et = (1 + (Pr)½)R d and R d = δ (εν)½/(ν) where δ s the dstance from the wall. The coeffcent C p1 has been chosen to be 0.98 to match the Krllov expermental correlaton and C d = 1.9(1-0.3(exp(-Rt /45)-1))(1-exp(-Rd )). The coeffcent C γ s set to 0.5/(Pr)¼ and C α s defned as [4] C α = 1/ 4 7 / 4 1 exp Ret Rd (3)

7 Four Parameter Heat Transfer Turbulence Models for Heavy Lqud Metals 69 In order to match the lmt to the wall, the ntroducton of the κ-ω-κ t -ε t model allows us to have a turbulent Prandtl number whch vares n space throughout the computatonal doman. Fg. a shows the temperature dfference DT between the wall temperature T w and bul temperature T b for dfferent nlet veloctes v = 0.5 (A), (B), 0.5 (C), 0.77 (D) and 1.0 (E) obtaned by usng the κ-ω-κ t -ε t model. We remar that the fnal drop n DT near the outlet s due to the boundary condtons and all the temperature measurements should be taen n the thermal fully developed regon. In Fg. b, the asymptotc Nusselt number Nu, as a functon of Peclet number Pe, for the cylnder ppe heated wth constant heat flux s shown. One can see the emprcal Krllov-Ushaov correlaton (K), Lyon correlaton (L) and the κ-ω-κ t -ε t model (P). As the graph shows the four parameters model reproduces qute well the expermental data by Krllov-Ushaov. In Fg. 3 the tme rato R = βωκ t /ε t (Fg. 3a) and the temperature T (Fg. 3b) profles along the dameter at z =.5 m for dfferent nlet veloctes v = 0.5 (A), 0.77 (B) and 1 (C) are shown for the cylnder ppe smulatons wth the κ-ω-κ t -ε t model. The basc computatonal doman for the annular geometry s shown n Fg. 4a and t conssts of an annulus of total length L = 3 m wth an outer and nner Fg. the axal profles of DT = T w - T b for dfferent nlet axal velocty v = 0.5 (A), (B), 0.5 (C), 0.77 (D) and 1.0 (E) m/s by the κ-ω-κ t -ε t model; the asymptotc Nusselt number Nu computed by usng the emprcal Krllov-Ushaov correlaton (K), the Lyon correlaton (L) and the κ-ω-κ t -ε t model (P). Fg. 3 Tme rato R = βωκ t /ε t, and temperature T profles along the dameter at z =.5 m for dfferent nlet veloctes v = 0.5 (A), 0.77 (B) and 1 (C) m/s for the κ-ω-κ t -ε t model.

8 70 Four Parameter Heat Transfer Turbulence Models for Heavy Lqud Metals dameter of D = 64 mm and d = 8 mm, respectvely. We assume that the heat source, located outsde the annulus, generates the same unform heat flux q as dscussed n the prevous secton and study some confguratons where the unform heat flux s appled to the nner or the outer wall. In partcular the annular geometry wth a constant heat flux on the nner wall and the outer adabatc wall s partcularly nterestng because t resembles the rod bundle geometry. For the correct computaton of the Nusselt number one must be n the regon of fully developed flow. Fg. 4b shows the temperature dfference DT between the wall and the bul temperature for dfferent nlet veloctes. The lnes become nearly horzontal after ~.3 m so that the asymptotc Nusselt number can be evaluated n ths regon. In Fg. 5, by usng the κ-ω-κ t -ε t model for the annular geometry wth heat flux on nner wall, we show the profles of the tme rato R = βωκ t /ε t (Fg. 5a) and temperature square fluctuatons κ t (Fg. 5b) along the radus at z =.5m for dfferent nlet veloctes v = (A), 0.5 (B), 0.77 (C) and 1 (D) m/s. Fg. 6a shows a comparson between the correlatons proposed by Dwyer (D), Hartnett/Irvne (H), Krllov (K)and Lyon (Pr t = 0.85) (L). In the same fgure the κ-ω-κ t -ε t model (E) and the SED model mplemented n Fluent (F) are shown for the annulus heated from the nner wall. The two models predct a dfferent Nu for ths range of Pe. The SED model predcts a very hgh Nu compared wth all the expermental correlatons, whle the four parameter model reproduces qute well the predctons of Hartnett and Irvne correlaton. In Fg. 6b, the Nusselt Fg. 4 Annular geometry, and axal profles of temperature dfference DT = T w - T b for the nlet veloctes v = (A), 0.5 (B), 0.77 (C) and 1.0 (D) m/s for unform heat flux on nner wall. Fg. 5 Tme rato R = βωκ t /ε t, and temperature square fluctuatons κ t along the radus at z =.5 m for dfferent nlet veloctes v = (A), 0.5 (B), 0.77 (C) and 1 (D) m/s wth the κ-ω-κ t -ε t model for the annular geometry and unform heat flux on nner wall.

9 Four Parameter Heat Transfer Turbulence Models for Heavy Lqud Metals 71 Fg. 7 Plane channel geometry, and cylnder ppe geometry. Fg. 6 Asymptotc Nusselt number Nu as a functon of Peclet number Pe for the annular geometry heated wth constant heat flux over the nner wall and for dfferent dameter ratos D e /D wth constant heat flux over the nner or external wall: Hartnett and Irvne correlaton (H), Lyon correlaton (L), κ-ω-κ t -ε t model (E) and the SED model mplemented on Fluent (Pr t = 0.85) (F). number s compared for dfferent rato between nner (D ) and external dameter (D e ) wth constant heat flux over the nner or external wall. The κ-ω-κ correlaton (H). The Fgure shows that the Nusselt number changes rapdly wth low ratos between the nner and outer dameter when the nner wall heatng s consdered. Moreover a good agreement wth the expermental correlaton s obtaned wth the use of the four parameter turbulence model for both nner and outer heated annulus and dfferent dameter ratos. 3.3 κ-ε-κ t -ε t t -ε t results (E) are compared wth the Hartnett-Irvne Model On the last several years four parameter turbulence models have been developed rapdly startng from expermental databases wth several dfferent Prandtl number fluds. These models are all κ-ε-κ t -ε t models based on the orgnal wors n [4-5]. In these wors the momentum turbulent κ-ε model s a second order approxmaton whle the energy turbulent κ t -ε t model s based on mxed energy and momentum tme. In ths paragraph we present the heat transfer as predcted by a second order κ-ε-κ t -εε t model n two smple geometres, a channel plane and a cylnder both wth unform heat flux on the wall. For mplementaton detals one can see [6]. The computatonal doman for the two test cases s shown n Fg. 7. On the left the plane geometry s represented wth a channel half wdth of 30.5 mm, on the rght the cylnder wth dameter of 60.5 mm. We assume a unform heat flux of q = 360,000 W m - on the heated wall and compare the results wth DNS geometry and Krllov correlaton for the predcton of the Nusselt number n the cylndrcal test case. In Fg. 8 the asymptotc Nusselt number as computed wth the four parameter κ-ε-κκ t -ε t turbulence model s compared wth DNS and expermental correlaton. In Fg. 8a, the plane channel resultss are reported, Fg. 8b the cylnder results. As one can see from ths Fgure the match wth expermental correlaton s almost perfect, whle for the DNS data there s a lttle dfference. The turbulence model can be just a compromse between expermental and DNS data where these two data sets dsagree. For heat transfer results n dfferent geometres the nterested reader can consult [6, 11-1]. data for the plane

10 7 Four Parameter Heat Transfer Turbulence Models for Heavy Lqud Metals have obtaned the equaton for ω drectly from the ε equaton, so a new cross-correlaton term appears, ω ω ν t ω +u = ν+ t x x j σω x j (33) ω + ν + C1 P Cω σ ω x j x j κ If one uses a κ-ω turbulence model for the dynamcal turbulence then t s obvous to ntroduce ω t = ε t /(C μ κ t ) so that R can be easly computed as ω/ω t. In ths case an Fg. 8 Asymptotc Nusselt number Nu as a functon of the Peclet number Pe for the plane channel geometry and for the cylnder ppe heated wth constant heat flux: DNS data by Kawamura (DNS) [10], emprcal Krllov correlaton (Krllov) and values obtaned wth the κ-ε-κ t -ε t model. 3.4 κ-ω-κ t -ω t Model In ths last paragraph we report some results n plane and cylndrcal geometry obtaned wth the κ-ω-κ t -ω t turbulence model. The most mportant feature of ths model s the robustness and stablty of ts mplementaton whch s due to the possblty of uncouple the varables on the wall and use an mposed Drchlet condton for both κ and ω. Many turbulence models can be used for the defnton of the eddy vscosty ν t and of the coeffcents C 1ε and C ε or C 1ω and C ω. For the κ-ε formulaton we have used the model by Nagano et al. reported n [4, 6], whle for the κ-ω formulaton we approprate transport equaton has to be found for ω t and ths can be accomplshed by substtutng the defnton of ω t n the transport equaton of ε t. By dong so the equaton for ω t becomes t +u t t = x x j α α + σ t t t x j t t t + ν+ C (34) p Pt Cd t 1 1 t σ ωt x j x j κt t + C pp Cd κ and n order to solve ths equaton a model obtaned from the κ t -ε t model has to be used. The test case geometres are the same as reported n Fg. 7 and n ths case we compare the results only wth Krllov correlaton. In Fg. 9 the asymptotc Nusselt number as computed wth the κ-ω-κ t -ω t turbulence model s reported for the plane channel case (Fg. 9a) and for the cylnder case (Fg. 9b).Ths model over predcts the heat transfer for the cylnder test case but the overall result s qute satsfactory. 4. Conclusons The present wor nvestgates heat transfer models based on varable turbulent Prandtl number for lqud metal flows by usng both momentum and energy transport turbulence equatons. Smple geometrcal cases have been nvestgated by usng four turbulence models, namely the smple eddy dffusvty (SED), κ-ε-κ t -ε t, κ-ω-κ t -ε t and κ-ω-κ t -ω t turbulence models developed for turbulent flow feld rght up to the wall wthout the use of wall functons. In the LFR desgn wth

11 Four Parameter Heat Transfer Turbulence Models for Heavy Lqud Metals 73 defne a specfc turbulent Prandtl number for any dfferent geometry, but the model tself s capable of computng a correct one. For a large range of forced flows a four parameter turbulence model s a powerful tool for predctng heat transfer n flows wth large velocty/thermal feld dssmlartes. The use of a κ-ω formulaton allows mplementng a more robust and stable solver and smulatons wth ths model n more complex geometres wll be performed and reported n future wors. Fg. 9 Asymptotc Nusselt number Nu as a functon of the Peclet number Pe for the plane channel geometry and for the cylnder ppe heated wth constant heat flux: Emprcal Krllov correlaton (Ky) and values obtaned wth the κ-ω-κ t -ω t model. lqud metal coolant CFD computatons are usually performed wth smple eddy dffusvty models by mposng a constant turbulent Prandtl number. Ths model s nown to be napproprate n many geometrcal confguratons for non-unty Prandtl fluds, as we have shown n ths wor. By usng these smple eddy dffusvty models all the CFD smulatons need an expermental verfcaton to defne the approprate turbulent Prandtl number. The results we have obtaned wth the four parameter turbulence models show how a better match wth experments can be attaned usng a more complex turbulence model le the ones we have presented. Usng these models there s no need to References [1] X. Cheng, N. Ta, Investgaton on turbulent heat transfer to lead-bsmuth eutectc flows n crcular tubes for nuclear applcatons, Nuclear Engneerng and Desgn 36 (4) (006) [] B. Deng. W. Wu, S X, A near-wall two-equaton heat transfer model for wall turbulent flow, Int. J. of Heat and Mass Transfer 44 (001) [3] R.Z. Mehran, B.T. Farzad, Implct algebrac model for predctng turbulent heatflux n flm coolng flow, Int. J. Numer. Meth. Fluds 64 (010) [4] Y. Nagano, M. Shmada, Development of a two equaton heat transfer model based on drect smulatons of turbulent flows wth dfferent Prandtl numbers, Phys. Fluds 8 (1996) [5] K. Abe, T. Kondoh, Y. Nagano, A new turbulence model for predctng flud flow and heat transfer n separatng and reattachng flows II. Thermal feld calculatons, Int. J. Heat Mass Transfer 38 (8) (1995) [6] S. Manservs, F. Menghn, A CFD four parameter heat transfer turbulence model for engneerng applcatons n heavy lqud metals, Internatonal Journal of Heat and Mass Transfer 69 (014) [7] H. Hattor, Y. Nagano, M. Tagawa, Analyss of turbulent heat transfer under varous thermal condtons wth two-equaton models, n: W. Rod, F. Martell (Eds.), Engneerng Turbulence Modellng and Experments, 1993, pp [8] B.E. Launder, G.J. Reece, W. Rod, Progress n the development of a Reynolds-stress turbulence closure, Journal of Flud Mechancs 37 (3) (1975) [9] C.B. Hwang, C.A Ln, A low Reynolds number two-equaton κ t -ε t model to predct thermal feld, Int. J. of Heat and Mass Transfer 4 (1999) [10] H. Kawamura, H. Abe, Y. Matsuo, DNS of turbulent heat transfer n channel flow wth respect to Reynolds and Prandtl number effects, Int. J. of Heat and Flud Flow 0 (1999)

12 74 Four Parameter Heat Transfer Turbulence Models for Heavy Lqud Metals [11] S. Manservs, F. Menghn, Trangular rod bundle smulatons of a CFD κ-ε-κ t -ε t turbulence model for heavy lqud metals, Nuclear Engneerng and Desgn 73 (014) [1] J. Paco, K. Ltfn, A. Batta, M. Velleber, A. Class, H. Doolaard, F. Roelofs, S. Manservs, F. Menghn, M. Böttcher, Heat transfer to lqud metals n a hexagonal rod bundle wth grd spacers: Expermental and smulaton results, Nuclear Engneerng and Desgn, 014, dx.do.org/ /j.nucengdes (n Press)

A Numerical Study of Heat Transfer and Fluid Flow past Single Tube

A Numerical Study of Heat Transfer and Fluid Flow past Single Tube A Numercal Study of Heat ransfer and Flud Flow past Sngle ube ZEINAB SAYED ABDEL-REHIM Mechancal Engneerng Natonal Research Center El-Bohos Street, Dokk, Gza EGYP abdelrehmz@yahoo.com Abstract: - A numercal

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

Numerical Transient Heat Conduction Experiment

Numerical Transient Heat Conduction Experiment Numercal ransent Heat Conducton Experment OBJECIVE 1. o demonstrate the basc prncples of conducton heat transfer.. o show how the thermal conductvty of a sold can be measured. 3. o demonstrate the use

More information

Publication 2006/01. Transport Equations in Incompressible. Lars Davidson

Publication 2006/01. Transport Equations in Incompressible. Lars Davidson Publcaton 2006/01 Transport Equatons n Incompressble URANS and LES Lars Davdson Dvson of Flud Dynamcs Department of Appled Mechancs Chalmers Unversty of Technology Göteborg, Sweden, May 2006 Transport

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

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

(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

Principles of Food and Bioprocess Engineering (FS 231) Solutions to Example Problems on Heat Transfer

Principles of Food and Bioprocess Engineering (FS 231) Solutions to Example Problems on Heat Transfer Prncples of Food and Boprocess Engneerng (FS 31) Solutons to Example Problems on Heat Transfer 1. We start wth Fourer s law of heat conducton: Q = k A ( T/ x) Rearrangng, we get: Q/A = k ( T/ x) Here,

More information

Flow equations To simulate the flow, the Navier-Stokes system that includes continuity and momentum equations is solved

Flow equations To simulate the flow, the Navier-Stokes system that includes continuity and momentum equations is solved Smulaton of nose generaton and propagaton caused by the turbulent flow around bluff bodes Zamotn Krll e-mal: krart@gmal.com, cq: 958886 Summary Accurate predctons of nose generaton and spread n turbulent

More information

Appendix B. The Finite Difference Scheme

Appendix B. The Finite Difference Scheme 140 APPENDIXES Appendx B. The Fnte Dfference Scheme In ths appendx we present numercal technques whch are used to approxmate solutons of system 3.1 3.3. A comprehensve treatment of theoretcal and mplementaton

More information

IC Engine Flow Simulation using KIVA code and A Modified Reynolds Stress Turbulence Model

IC Engine Flow Simulation using KIVA code and A Modified Reynolds Stress Turbulence Model IC Engne Flow Smulaton usng KIVA code and A Modfed Reynolds Stress Turbulence Model Satpreet Nanda and S.L. Yang Mechancal Engneerng-Engneerng Mechancs Department Mchgan Technologcal Unversty Houghton,

More information

Handout: Large Eddy Simulation I. Introduction to Subgrid-Scale (SGS) Models

Handout: Large Eddy Simulation I. Introduction to Subgrid-Scale (SGS) Models Handout: Large Eddy mulaton I 058:68 Turbulent flows G. Constantnescu Introducton to ubgrd-cale (G) Models G tresses should depend on: Local large-scale feld or Past hstory of local flud (va PDE) Not all

More information

2) For a two-dimensional steady turbulent flow in Cartesian coordinates (x,y), with mean velocity components (U,V), write

2) For a two-dimensional steady turbulent flow in Cartesian coordinates (x,y), with mean velocity components (U,V), write 058:68 Turbulent Flows 004 G. Constantnescu HOMEWORKS: Assgnment I - 01/6/04, Due 0/04/04 1) A cubcal box of volume L 3 s flled wth flud n turbulent moton. No source of energy s present, so that the turbulence

More information

The Finite Element Method

The Finite Element Method The Fnte Element Method GENERAL INTRODUCTION Read: Chapters 1 and 2 CONTENTS Engneerng and analyss Smulaton of a physcal process Examples mathematcal model development Approxmate solutons and methods of

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

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

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

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

TURBULENT FLOW A BEGINNER S APPROACH. Tony Saad March

TURBULENT FLOW A BEGINNER S APPROACH. Tony Saad March TURBULENT FLOW A BEGINNER S APPROACH Tony Saad March 2004 http://tsaad.uts.edu - tsaad@uts.edu CONTENTS Introducton Random processes The energy cascade mechansm The Kolmogorov hypotheses The closure problem

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

EXAMPLES of THEORETICAL PROBLEMS in the COURSE MMV031 HEAT TRANSFER, version 2017

EXAMPLES of THEORETICAL PROBLEMS in the COURSE MMV031 HEAT TRANSFER, version 2017 EXAMPLES of THEORETICAL PROBLEMS n the COURSE MMV03 HEAT TRANSFER, verson 207 a) What s eant by sotropc ateral? b) What s eant by hoogeneous ateral? 2 Defne the theral dffusvty and gve the unts for the

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

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

In this section is given an overview of the common elasticity models.

In this section is given an overview of the common elasticity models. Secton 4.1 4.1 Elastc Solds In ths secton s gven an overvew of the common elastcty models. 4.1.1 The Lnear Elastc Sold The classcal Lnear Elastc model, or Hooean model, has the followng lnear relatonshp

More information

Thermal-Fluids I. Chapter 18 Transient heat conduction. Dr. Primal Fernando Ph: (850)

Thermal-Fluids I. Chapter 18 Transient heat conduction. Dr. Primal Fernando Ph: (850) hermal-fluds I Chapter 18 ransent heat conducton Dr. Prmal Fernando prmal@eng.fsu.edu Ph: (850) 410-6323 1 ransent heat conducton In general, he temperature of a body vares wth tme as well as poston. In

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

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

FORCED CONVECTION HEAT TRANSFER FROM A RECTANGULAR CYLINDER: EFFECT OF ASPECT RATIO

FORCED CONVECTION HEAT TRANSFER FROM A RECTANGULAR CYLINDER: EFFECT OF ASPECT RATIO ISTP-,, PRAGUE TH INTERNATIONAL SYMPOSIUM ON TRANSPORT PHENOMENA FORCED CONVECTION HEAT TRANSFER FROM A RECTANGULAR CYLINDER: EFFECT OF ASPECT RATIO Mohammad Rahnama*, Seyed-Mad Hasheman*, Mousa Farhad**

More information

Introduction to Turbulence Modeling

Introduction to Turbulence Modeling Introducton to Turbulence Modelng Professor Ismal B. Celk West Vrgna nversty Ismal.Celk@mal.wvu.edu CFD Lab. - West Vrgna nversty I-1 Introducton to Turbulence CFD Lab. - West Vrgna nversty I-2 Introducton

More information

2 Finite difference basics

2 Finite difference basics Numersche Methoden 1, WS 11/12 B.J.P. Kaus 2 Fnte dfference bascs Consder the one- The bascs of the fnte dfference method are best understood wth an example. dmensonal transent heat conducton equaton T

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

Turbulence and its Modelling

Turbulence and its Modelling School of Mechancal Aerospace and Cvl Engneerng 3rd Year Flud Mechancs Introducton In earler lectures we have consdered how flow nstabltes develop, and noted that above some crtcal Reynolds number flows

More information

Conduction Shape Factor Models for Three-Dimensional Enclosures

Conduction Shape Factor Models for Three-Dimensional Enclosures JOURNAL OF THERMOPHYSICS AND HEAT TRANSFER Vol. 19, No. 4, October December 005 Conducton Shape Factor Models for Three-Dmensonal Enclosures P. Teertstra, M. M. Yovanovch, and J. R. Culham Unversty of

More information

Application of B-Spline to Numerical Solution of a System of Singularly Perturbed Problems

Application of B-Spline to Numerical Solution of a System of Singularly Perturbed Problems Mathematca Aeterna, Vol. 1, 011, no. 06, 405 415 Applcaton of B-Splne to Numercal Soluton of a System of Sngularly Perturbed Problems Yogesh Gupta Department of Mathematcs Unted College of Engneerng &

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 Cartesian-grid integrated-rbf method for viscoelastic flows

A Cartesian-grid integrated-rbf method for viscoelastic flows Home Search Collectons Journals About Contact us My IOPscence A Cartesan-grd ntegrated-rbf method for vscoelastc flows Ths artcle has been downloaded from IOPscence. Please scroll down to see the full

More information

A new integrated-rbf-based domain-embedding scheme for solving fluid-flow problems

A new integrated-rbf-based domain-embedding scheme for solving fluid-flow problems Home Search Collectons Journals About Contact us My IOPscence A new ntegrated-rbf-based doman-embeddng scheme for solvng flud-flow problems Ths artcle has been downloaded from IOPscence. Please scroll

More information

A large scale tsunami run-up simulation and numerical evaluation of fluid force during tsunami by using a particle method

A large scale tsunami run-up simulation and numerical evaluation of fluid force during tsunami by using a particle method A large scale tsunam run-up smulaton and numercal evaluaton of flud force durng tsunam by usng a partcle method *Mtsuteru Asa 1), Shoch Tanabe 2) and Masaharu Isshk 3) 1), 2) Department of Cvl Engneerng,

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. 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

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

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

Introduction to Computational Fluid Dynamics

Introduction to Computational Fluid Dynamics Introducton to Computatonal Flud Dynamcs M. Zanub 1, T. Mahalakshm 2 1 (PG MATHS), Department of Mathematcs, St. Josephs College of Arts and Scence for Women-Hosur, Peryar Unversty 2 Assstance professor,

More information

Research & Reviews: Journal of Engineering and Technology

Research & Reviews: Journal of Engineering and Technology Research & Revews: Journal of Engneerng and Technology Case Study to Smulate Convectve Flows and Heat Transfer n Arcondtoned Spaces Hussen JA 1 *, Mazlan AW 1 and Hasanen MH 2 1 Department of Mechancal

More information

High resolution entropy stable scheme for shallow water equations

High resolution entropy stable scheme for shallow water equations Internatonal Symposum on Computers & Informatcs (ISCI 05) Hgh resoluton entropy stable scheme for shallow water equatons Xaohan Cheng,a, Yufeng Ne,b, Department of Appled Mathematcs, Northwestern Polytechncal

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

A PROCEDURE FOR SIMULATING THE NONLINEAR CONDUCTION HEAT TRANSFER IN A BODY WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY.

A PROCEDURE FOR SIMULATING THE NONLINEAR CONDUCTION HEAT TRANSFER IN A BODY WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY. Proceedngs of the th Brazlan Congress of Thermal Scences and Engneerng -- ENCIT 006 Braz. Soc. of Mechancal Scences and Engneerng -- ABCM, Curtba, Brazl,- Dec. 5-8, 006 A PROCEDURE FOR SIMULATING THE NONLINEAR

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

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD Ákos Jósef Lengyel, István Ecsed Assstant Lecturer, Professor of Mechancs, Insttute of Appled Mechancs, Unversty of Mskolc, Mskolc-Egyetemváros,

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

Turbulence. Lecture 21. Non-linear Dynamics. 30 s & 40 s Taylor s work on homogeneous turbulence Kolmogorov.

Turbulence. Lecture 21. Non-linear Dynamics. 30 s & 40 s Taylor s work on homogeneous turbulence Kolmogorov. Turbulence Lecture 1 Non-lnear Dynamcs Strong non-lnearty s a key feature of turbulence. 1. Unstable, chaotc behavor.. Strongly vortcal (vortex stretchng) 3 s & 4 s Taylor s work on homogeneous turbulence

More information

Lecture 5.8 Flux Vector Splitting

Lecture 5.8 Flux Vector Splitting Lecture 5.8 Flux Vector Splttng 1 Flux Vector Splttng The vector E n (5.7.) can be rewrtten as E = AU (5.8.1) (wth A as gven n (5.7.4) or (5.7.6) ) whenever, the equaton of state s of the separable form

More information

Normally, in one phase reservoir simulation we would deal with one of the following fluid systems:

Normally, in one phase reservoir simulation we would deal with one of the following fluid systems: TPG4160 Reservor Smulaton 2017 page 1 of 9 ONE-DIMENSIONAL, ONE-PHASE RESERVOIR SIMULATION Flud systems The term sngle phase apples to any system wth only one phase present n the reservor In some cases

More information

Turbulent Flow in Curved Square Duct: Prediction of Fluid flow and Heat transfer Characteristics

Turbulent Flow in Curved Square Duct: Prediction of Fluid flow and Heat transfer Characteristics Internatonal Research Journal of Engneerng and Technology (IRJET) e-issn: 2395-56 Volume: 4 Issue: 7 July -217 www.ret.net p-issn: 2395-72 Turbulent Flow n Curved Square Duct: Predcton of Flud flow and

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

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

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

CFD VALIDATION OF STRATIFIED TWO-PHASE FLOWS IN A HORIZONTAL CHANNEL

CFD VALIDATION OF STRATIFIED TWO-PHASE FLOWS IN A HORIZONTAL CHANNEL CFD VALIDATION OF STRATIFIED TWO-PHASE FLOWS IN A HORIZONTAL CHANNEL 1. Introducton Chrstophe Vallée and Thomas Höhne In dfferent scenaros of small break Loss of Coolant Accdent (SB-LOCA), stratfed twophase

More information

A NEW FILTERED DYNAMIC SUBGRID-SCALE MODEL FOR LARGE EDDY SIMULATION OF INDOOR AIRFLOW

A NEW FILTERED DYNAMIC SUBGRID-SCALE MODEL FOR LARGE EDDY SIMULATION OF INDOOR AIRFLOW A NEW FILTERED DYNAMIC SUBGRID-SCALE MODEL FOR LARGE EDDY SIMULATION OF INDOOR AIRFLOW We Zhang and Qngyan Chen Buldng Technology Program Massachusetts Insttute of Technology 77 Mass. Ave., Cambrdge, MA

More information

This column is a continuation of our previous column

This column is a continuation of our previous column Comparson of Goodness of Ft Statstcs for Lnear Regresson, Part II The authors contnue ther dscusson of the correlaton coeffcent n developng a calbraton for quanttatve analyss. Jerome Workman Jr. and Howard

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

Week 9 Chapter 10 Section 1-5

Week 9 Chapter 10 Section 1-5 Week 9 Chapter 10 Secton 1-5 Rotaton Rgd Object A rgd object s one that s nondeformable The relatve locatons of all partcles makng up the object reman constant All real objects are deformable to some extent,

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

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

Difference Equations

Difference Equations Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1

More information

Computational Fluid Dynamics. Smoothed Particle Hydrodynamics. Simulations. Smoothing Kernels and Basis of SPH

Computational Fluid Dynamics. Smoothed Particle Hydrodynamics. Simulations. Smoothing Kernels and Basis of SPH Computatonal Flud Dynamcs If you want to learn a bt more of the math behnd flud dynamcs, read my prevous post about the Naver- Stokes equatons and Newtonan fluds. The equatons derved n the post are the

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

FEATURES OF TURBULENT TRANSPORT OF MOMENTUM AND HEAT IN STABLY STRATIFIED BOUNDARY LAYERS AND THEIR REPRODUCTION IN ATMOSPHERIC MESOSCALE MODELS

FEATURES OF TURBULENT TRANSPORT OF MOMENTUM AND HEAT IN STABLY STRATIFIED BOUNDARY LAYERS AND THEIR REPRODUCTION IN ATMOSPHERIC MESOSCALE MODELS C I T E S 009_ Krasnoyarsk 009 FEATURES OF TURBULENT TRANSPORT OF MOMENTUM AND HEAT IN STABLY STRATIFIED BOUNDARY LAYERS AND THEIR REPRODUCTION IN ATMOSPHERIC MESOSCALE MODELS A. F. Kurbatsky Insttute

More information

Statistical Energy Analysis for High Frequency Acoustic Analysis with LS-DYNA

Statistical Energy Analysis for High Frequency Acoustic Analysis with LS-DYNA 14 th Internatonal Users Conference Sesson: ALE-FSI Statstcal Energy Analyss for Hgh Frequency Acoustc Analyss wth Zhe Cu 1, Yun Huang 1, Mhamed Soul 2, Tayeb Zeguar 3 1 Lvermore Software Technology Corporaton

More information

MMA and GCMMA two methods for nonlinear optimization

MMA and GCMMA two methods for nonlinear optimization MMA and GCMMA two methods for nonlnear optmzaton Krster Svanberg Optmzaton and Systems Theory, KTH, Stockholm, Sweden. krlle@math.kth.se Ths note descrbes the algorthms used n the author s 2007 mplementatons

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

Linear Approximation with Regularization and Moving Least Squares

Linear Approximation with Regularization and Moving Least Squares Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...

More information

EEE 241: Linear Systems

EEE 241: Linear Systems EEE : Lnear Systems Summary #: Backpropagaton BACKPROPAGATION The perceptron rule as well as the Wdrow Hoff learnng were desgned to tran sngle layer networks. They suffer from the same dsadvantage: they

More information

REAL TIME AIRFLOW SIMULATION IN BUILDINGS

REAL TIME AIRFLOW SIMULATION IN BUILDINGS REAL TIME AIRFLOW SIMULATION IN BUILDINGS Wangda Zuo, and Qngyan (Yan) Chen School of Mechancal Engneerng, Purdue Unversty, West Lafayette, USA ABSTRACT Real tme flow smulaton s crucal n emergency management

More information

Chapter 11: Simple Linear Regression and Correlation

Chapter 11: Simple Linear Regression and Correlation Chapter 11: Smple Lnear Regresson and Correlaton 11-1 Emprcal Models 11-2 Smple Lnear Regresson 11-3 Propertes of the Least Squares Estmators 11-4 Hypothess Test n Smple Lnear Regresson 11-4.1 Use of t-tests

More information

An Experimental and Numerical Study on Pressure Drop Coefficient of Ball Valves

An Experimental and Numerical Study on Pressure Drop Coefficient of Ball Valves A. Ozdomar, K. Turgut Gursel, Y. Pekbey, B. Celkag / Internatonal Energy Journal 8 (2007) An Expermental and Numercal Study on Pressure Drop Coeffcent of Ball Valves www.serd.at.ac.th/rerc A. Ozdamar*

More information

Basic concept of reactive flows. Basic concept of reactive flows Combustion Mixing and reaction in high viscous fluid Application of Chaos

Basic concept of reactive flows. Basic concept of reactive flows Combustion Mixing and reaction in high viscous fluid Application of Chaos Introducton to Toshhsa Ueda School of Scence for Open and Envronmental Systems Keo Unversty, Japan Combuston Mxng and reacton n hgh vscous flud Applcaton of Chaos Keo Unversty 1 Keo Unversty 2 What s reactve

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

Global Sensitivity. Tuesday 20 th February, 2018

Global Sensitivity. Tuesday 20 th February, 2018 Global Senstvty Tuesday 2 th February, 28 ) Local Senstvty Most senstvty analyses [] are based on local estmates of senstvty, typcally by expandng the response n a Taylor seres about some specfc values

More information

Note 10. Modeling and Simulation of Dynamic Systems

Note 10. Modeling and Simulation of Dynamic Systems Lecture Notes of ME 475: Introducton to Mechatroncs Note 0 Modelng and Smulaton of Dynamc Systems Department of Mechancal Engneerng, Unversty Of Saskatchewan, 57 Campus Drve, Saskatoon, SK S7N 5A9, Canada

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

Simulation of Turbulent Flow Using FEM

Simulation of Turbulent Flow Using FEM Internatonal Journal of Engneerng and Technology Volume 2 No. 8, August, 2012 Smulaton of Turbulent Flow Usng FEM Sabah Tamm College of Computng, AlGhurar Unversty, Duba, Unted Arab Emrates. ABSTRACT An

More information

EPR Paradox and the Physical Meaning of an Experiment in Quantum Mechanics. Vesselin C. Noninski

EPR Paradox and the Physical Meaning of an Experiment in Quantum Mechanics. Vesselin C. Noninski EPR Paradox and the Physcal Meanng of an Experment n Quantum Mechancs Vesseln C Nonnsk vesselnnonnsk@verzonnet Abstract It s shown that there s one purely determnstc outcome when measurement s made on

More information

Study of transonic separated flows with zonal-des based on weakly non-linear turbulence model

Study of transonic separated flows with zonal-des based on weakly non-linear turbulence model Study of transonc separated flows wth zonal-des based on weakly non-lnear turbulence model Xao Z.X, Fu S., Chen H.X, Zhang Y.F and Huang J.B. Department of Engneerng Mechancs, Tsnghua Unversty, Bejng,

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

MA 323 Geometric Modelling Course Notes: Day 13 Bezier Curves & Bernstein Polynomials

MA 323 Geometric Modelling Course Notes: Day 13 Bezier Curves & Bernstein Polynomials MA 323 Geometrc Modellng Course Notes: Day 13 Bezer Curves & Bernsten Polynomals Davd L. Fnn Over the past few days, we have looked at de Casteljau s algorthm for generatng a polynomal curve, and we have

More information

Visco-Rubber Elastic Model for Pressure Sensitive Adhesive

Visco-Rubber Elastic Model for Pressure Sensitive Adhesive Vsco-Rubber Elastc Model for Pressure Senstve Adhesve Kazuhsa Maeda, Shgenobu Okazawa, Koj Nshgch and Takash Iwamoto Abstract A materal model to descrbe large deformaton of pressure senstve adhesve (PSA

More information

NUMERICAL MODEL FOR NON-DARCY FLOW THROUGH COARSE POROUS MEDIA USING THE MOVING PARTICLE SIMULATION METHOD

NUMERICAL MODEL FOR NON-DARCY FLOW THROUGH COARSE POROUS MEDIA USING THE MOVING PARTICLE SIMULATION METHOD THERMAL SCIENCE: Year 2018, Vol. 22, No. 5, pp. 1955-1962 1955 NUMERICAL MODEL FOR NON-DARCY FLOW THROUGH COARSE POROUS MEDIA USING THE MOVING PARTICLE SIMULATION METHOD Introducton by Tomok IZUMI a* and

More information

Chapter 12. Ordinary Differential Equation Boundary Value (BV) Problems

Chapter 12. Ordinary Differential Equation Boundary Value (BV) Problems Chapter. Ordnar Dfferental Equaton Boundar Value (BV) Problems In ths chapter we wll learn how to solve ODE boundar value problem. BV ODE s usuall gven wth x beng the ndependent space varable. p( x) q(

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

NUMERICAL ANALYSIS OF TURBULENT FLOW WITH HEAT TRANSFER IN A SQUARE DUCT WITH 45 DEGREE RIBS

NUMERICAL ANALYSIS OF TURBULENT FLOW WITH HEAT TRANSFER IN A SQUARE DUCT WITH 45 DEGREE RIBS Proceedngs of IONE19 19th Internatonal onference on Nuclear Engneerng May 16-19, 011, hba, Japan IONE19-43147 NUMERIAL ANALYSIS OF TURBULENT FLOW WITH HEAT TRANSFER IN A SQUARE DUT WITH 45 DEGREE RIBS

More information

Turbulent Flow. Turbulent Flow

Turbulent Flow. Turbulent Flow http://www.youtube.com/watch?v=xoll2kedog&feature=related http://br.youtube.com/watch?v=7kkftgx2any http://br.youtube.com/watch?v=vqhxihpvcvu 1. Caothc fluctuatons wth a wde range of frequences and

More information

New Method for Solving Poisson Equation. on Irregular Domains

New Method for Solving Poisson Equation. on Irregular Domains Appled Mathematcal Scences Vol. 6 01 no. 8 369 380 New Method for Solvng Posson Equaton on Irregular Domans J. Izadan and N. Karamooz Department of Mathematcs Facult of Scences Mashhad BranchIslamc Azad

More information

8.592J: Solutions for Assignment 7 Spring 2005

8.592J: Solutions for Assignment 7 Spring 2005 8.59J: Solutons for Assgnment 7 Sprng 5 Problem 1 (a) A flament of length l can be created by addton of a monomer to one of length l 1 (at rate a) or removal of a monomer from a flament of length l + 1

More information

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,

More information

Section 8.3 Polar Form of Complex Numbers

Section 8.3 Polar Form of Complex Numbers 80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the

More information

The Tangential Force Distribution on Inner Cylinder of Power Law Fluid Flowing in Eccentric Annuli with the Inner Cylinder Reciprocating Axially

The Tangential Force Distribution on Inner Cylinder of Power Law Fluid Flowing in Eccentric Annuli with the Inner Cylinder Reciprocating Axially Open Journal of Flud Dynamcs, 2015, 5, 183-187 Publshed Onlne June 2015 n ScRes. http://www.scrp.org/journal/ojfd http://dx.do.org/10.4236/ojfd.2015.52020 The Tangental Force Dstrbuton on Inner Cylnder

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

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

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