Title. Author(s)Tabe, Yutaka; Lee, Yongju; Chikahisa, Takemi; Kozaka. CitationJournal of Power Sources, 193(1): Issue Date
|
|
- Edmund Kelley
- 5 years ago
- Views:
Transcription
1 Ttle Numercal smulaton of lqud water and gas flow n electrolyte membrane fuel cells usng the lattce Bo Author(s)Tabe, Yutaka; Lee, Yongju; Chkahsa, Takem; Kozaka CtatonJournal of Power Sources, 93(): 24-3 Issue Date Doc URL Type artcle (author verson) Fle Informaton JPS93-_p24-3.pdf Instructons for use Hokkado Unversty Collecton of Scholarly and Aca
2 Numercal smulaton of lqud water and gas flow n a channel and a smplfed gas dffuson layer model of polymer electrolyte membrane fuel cells usng the lattce Boltzmann method Yutaka Tabe a, *, Yongju Lee a, Takem Chkahsa a and Masaya Kozaka b a Dvson of Energy and Envronmental Systems, Graduate School of Engneerng, Hokkado Unversty N3 W8, Kta-ku, Sapporo , Japan b Department of Battery and Fuel Cell Systems, Htach Research Laboratory, Htach, Ltd., Japan -, Omka-cho, 7-chome, Htach , JAPAN * Correspondng author. Tel.: ; fax: E-mal address: tabe@eng.hokuda.ac.jp; N3 W8, Kta-ku, Sapporo , Japan. Abstract Numercal smulatons usng the lattce Boltzmann method (LBM) are developed to elucdate the dynamc behavor of condensed water and gas flow n a polymer electrolyte membrane (PEM) fuel cell. Here, the calculaton process of the LBM smulaton s mproved to extend the smulaton to a porous medum lke a gas dffuson layer (GDL), and a stable and relable smulaton of two-phase flow wth large densty dfferences n the porous medum s establshed. It s shown that dynamc capllary fngerng can be smulated at low mgraton speeds of lqud water n a modfed GDL, and the LBM smulaton reported here, whch consders the actual physcal propertes of the system, has sgnfcant advantages n evaluatng phenomena affected by the nteracton between lqud water and ar flows. Two-phase flows wth the nteracton of the phases n the two-dmensonal smulatons are demonstrated. The smulaton of water behavor n a gas flow channel wth ar flow and a smplfed GDL shows that the wettablty of the channel has a strong effect on the two-phase flow. The smulaton of the porous separator also ndcates the possblty of controllng two-phase dstrbuton for better oxygen supply to the catalyst layer by gradent wettablty desgn of the porous separator. Keywords: PEM fuel cell, Lattce Boltzmann method, Two-phase flow, Large densty dfference, Gas dffuson layer, Wettablty Nomenclature c : characterstc partcle speed (m s - ) c : restrcted veloctes of partcle ensembles (m s - ) f : partcle velocty dstrbuton functons for the calculaton of an order parameter g : partcle velocty dstrbuton functons for the calculaton of a predcted velocty g : gravtatonal acceleraton (m s -2 ) H : vertcal length of smulaton doman (m) L : characterstc length (m) - -
3 p Sh t t 0 : pressure (Pa) : Strouhal number : tme (s) : characterstc tme scale (s) : tme step durng whch the partcles travel across the lattce space (s) Δt U : characterstc flow speed (m s - ) u : current velocty (m s - ) u * : predcted velocty (m s - ) x, y : poston coordnates (m) Δx : spacng of the cubc lattce (m) κ f : constant determnng the wdth of the nterface of two phases κ g : constant determnng the strength of the surface tenson μ : vscosty (Pa s) ξ : coordnate perpendcular to the nterface (m) ρ : densty (kg m -3 ) ρ 0 : reference densty (kg m -3 ) σ : nterface tenson (N m - ) τ f, τ g : dmensonless sngle relaxaton tme : order parameter 0 : reference order parameter superscrpt, subscrpt eq : equlbrum state n : nflow G : gas L : lqud S : sold α, β : Cartesan coordnates. Introducton Water management s essental to mprove the performance of polymer electrolyte membrane (PEM) fuel cells. Whle the membrane needs to be fully hydrated to mantan hgh proton conductvty, excessve amounts of water condense n the gas dffuson layers and gas flow channels and prevent the supply of reactants to the electrodes under hgh current densty condtons. Ths phenomenon causes mass transport lmtatons and deterorates the cell performance. The objectve of ths paper s to evaluate the dynamc behavor of condensed water and gas flows n a PEM fuel cell usng numercal smulatons, and an advanced lattce Boltzmann method for two-phase flow wth large densty dfferences was developed. Understandng lqud water behavor n PEM fuel cells s of consderable practcal sgnfcance. Several studes have been conducted on two-phase flows n PEM fuel cells. Theoretcal one-dmensonal models for lqud water transport n gas dffuson layers (GDLs), where lqud water s controlled by capllary forces dependng on the structure and wettablty of GDL, have been reported [,2], and three-dmensonal smulatons usng two-phase models have been developed [3,4]. For lqud water transport n gas flow channels, expermental nvestgatons have been conducted usng transparent fuel cells and t was demonstrated that the surface tenson of water and the wettablty of the GDL and gas flow channel play a - 2 -
4 domnant role n the lqud water transport [5,6]. Some numercal smulatons of the dynamc behavor of condensed water, whch would be strongly affected by the wettablty of GDL and gas flow channel, have been reported. The lattce Boltzmann method (LBM) was appled and t was establshed that LBM can be a powerful tool to estmate two-phase flow n the gas flow channels [7,8]. Two-dmensonal smulaton employng the volume of flud (VOF) method were performed to nvestgate the dynamc behavor of a water droplet subjected to ar flow n the bulk of the gas channel [9]. Recently, some smulatons of condensed water dstrbutons n a GDL have been developed usng pore-scale modes, e.g. pore-network modelng, representng a porous medum at the mcroscopc scale by a lattce of wde pores connected by narrower constrctons termed throats [0] and a full morphology model relyng on decomposng dgtal mages of the GDL wth pore radus as the orderng parameter at a specfed pressure durng dranage []. Ths paper develops the numercal smulaton usng the lattce Boltzmann method (LBM) to understand the dynamc behavor of condensed water and gas flow n a GDL and a gas flow channel. The LBM wth the smple algorthm has a number of advantages as stated below, but s attended wth much dffculty n mantanng contnuty at the nterface to smulate two-phase flows wth large densty dfferences lke condensed water and ar n a fuel cell. Here, the calculaton process of the smulaton was mproved to extend the smulaton n a porous medum lke a GDL, and stable and relable smulaton of two-phase flows wth large densty dfferences n the porous medum was establshed. Usng the mproved smulaton, the applcablty of the LBM and approprate condtons to smulate lqud water behavor n the GDL are dscussed, and the sgnfcant advantages of ths smulaton, whch can evaluate actual physcal propertes, were dentfed. Further, two-dmensonal smulatons demonstrated examples of the two-phase flow affected by the nteracton between lqud water and ar flows n a fuel cell. The effect of the wettablty of the gas flow channel on the two-phase flow behavor was nvestgated, and the possblty of controllng the two-phase dstrbuton usng a porous separator wthout channels s presented. 2. Method of smulaton The LBM smulates mass and heat transport phenomena by trackng movements of partcle ensembles where the veloctes are restrcted by a fnte set of vectors. The partcle populaton s expressed by dstrbuton functons, and the tme evoluton of the dstrbuton functons s calculated by a smple law of collson and transton, and t s shown that macroscopcally the LBM s equvalent to a contnuty equaton and the Naver-Stokes equatons for ncompressble fluds. Addtonally, ntroducng the nteracton of the partcles n the equaton makes t possble to smulate mult-phase flow. Because of the smple algorthm, the LBM has a number of advantages: flexblty for complex boundary geometres, smplcty for parallel computng and accurate mass conservaton. In mult-phase flow, trackng nterfaces s not needed and dstnct nterfaces are mantanable wthout any artfcal treatments. To smulate condensed water behavor n the 3-dmensonal gas flow channels of a PEM fuel cell, the advanced LBM proposed by Inamuro et al. [2] was appled and the authors have confrmed that two-phase flows wth large densty dfferences, densty ratos up to,000, can be calculated [7,8]. The greatest advantage of ths LBM s that t can evaluate the - 3 -
5 nteracton between the gas flow and condensed water n the fuel cell where all the propertes and condtons such as denstes, vscostes, an nterface tenson, wettablty and flow veloctes can be smulated. In the model, the non-dmensonal varables are defned by a characterstc length L, a characterstc partcle speed c, a characterstc tme scale t 0 = L/U, where U s a characterstc flow speed, a reference order parameter 0, and a reference densty ρ 0 s also used [2], and non-dmensonal s represented by a crcumflex. Ths paper uses a two-dmensonal 9 veloctes model (2D9V model) and the veloctes of partcle ensembles are restrcted to the followng vectors ĉ ( =, 2,, 9) n the 2-dmensonal case as shown n Fg. [3]. c, c 2, c 3, c 4, c5, c6, c7, c8, c () Two partcle velocty dstrbuton functons, f and ĝ, are used. The f functon s used for the calculaton of an order parameter whch dstngushes two phases: G corresponds to gas phase, lqud phase, and G the nterface. The ĝ L functon L s used for the calculaton of a predcted velocty of the two-phase flud wthout a pressure gradent. The evoluton of the partcle dstrbuton functons f and ĝ wth velocty ĉ at pont x and tme t are computed by the followng equatons. f ( x c t, t t) f [ ( x, t) f( x, t) f f eq ( x, t)] (2) g ( t, t t) g (, t) [ g (, t) g x c x x g eq ( x, t)] u u G 3Ec x 3Ec y g x (3) x x x Here, f and ĝ eq are the equlbrum dstrbuton functons, τ f and τ g are dmensonless eq sngle relaxaton tmes, E s the assocated weght coeffcents presented below, spacng of the cubc lattce, x s the t s the tme step durng whch the partcles travel across the dstance of the lattce spacng, s the densty, s the vscosty, û s the current - 4 -
6 - 5 - velocty and ĝ s the gravtatonal acceleraton. The subscrpts α and β (= x, ŷ ) represent Cartesan coordnates and the summaton conventon s used. The thrd and last terms on the rght hand sde of Eq. (3) represent the effects of vscous stress and gravtaton, respectvely. The order parameter dstngushng two phases and the predcted velocty * û of the mult-component fluds are defned n terms of the two partcle velocty dstrbuton functons. 9 f (4) 9 * c g u (5) The equlbrum dstrbuton functons eq f and eq ĝ n Eqs. (2) and (3) are gven by the followng equatons x x p F H f f f eq f c c G E u c E ) ( 3 (6) u u c c u u u c E g eq g c c x u x u x ) ( g g F c c G E (7) Where, 36, 9, E E E E E E E E E, 0, H H H H, ),9 2,3, ( 3, 3 5 E F F. κ f s a constant parameter determnng the wdth of the nterface between two phases, κ g s a constant parameter determnng the strength of the surface tenson, and the parameters 0 p and G αβ are explaned n Ref. [7]. The nterface tenson s obtaned by the followng equaton. 2 d g (8)
7 Here, s the coordnate perpendcular to the nterface. The frst and second dervatves are calculated usng the LBM-specfc fnte-dfference approxmatons [2]. Because the predcted velocty û * gven by Eq. (5) s not satsfed by the contnuty equaton ( u * 0 ), a correcton of * û s requred. The current velocty û whch satsfes the contnuty equaton can be obtaned wth the followng equatons. u u * p Sh t p u * Sh t (9) (0) Here, Sh U / c s the Strouhal number and p s the pressure of the two-phase flud; note that ths defnton gves the followng relatonshps, t Shx, whch s represented by t x / c wth dmenson and means that the partcles travel across the lattce space x durng tme step t. Ths paper solved Eq. (0) usng the successve over relaxaton (SOR) method. Detals of ths model are descrbed n a prevous paper [7]. The scheme proposed by Seta and Takahash [4] was appled to consder the wettablty. In ths scheme, the effect of wettablty s establshed by the densty of the sold wall. Snce the ntermolecular force s expressed n terms of densty n the LBM, gvng the densty of a sold wall corresponds to gvng the ntermolecular force between lqud and sold wall. It was confrmed that ths scheme can smulate the effect of wettablty not only on a flat surface but also at a corner nsde a gas flow channel [8]. 3. Developments to the calculaton process The lattce Boltzmann method (LBM) for two-phase flow wth large densty dfferences has been appled to the smulaton of lqud water and ar flow n a PEM fuel cell [7] and the effect of wettablty and cross-sectonal shape on the lqud water behavor n the gas flow channels was reported [8] by the authors. However, there are problems wth the relablty of smulated results n that there s nonconservaton of the mass of the lqud water. Further, dffcultes to smulate the two-phase flow n a porous medum such as n a modfed gas dffuson layer (GDL) have been found. Ths study ntroduced some nnovatons to the calculaton process and ther effectveness was confrmed. Ths paper presents an outlne of explanatons of the key mprovements n the method of solvng the Posson equaton (0) and - 6 -
8 the settngs of the boundary condtons for the pressure p on the wall and the partcle dstrbuton functon f at the nlet. Inamuro et al. solved the Posson equaton usng an addtonal LBM [2], whle here the equaton s solved usng the successve over relaxaton (SOR) method as n the case of a conventonal flud smulaton because of ts easy mplementaton. The SOR s a commonly-used soluton algorthm n conventonal flud smulatons [5]. Wth the SOR t s possble to combne the LBM wth conventonal flud smulaton, but t s necessary to ntroduce a sutable grd transformaton. In the LBM, co-locaton of a grd where velocty and pressure are defned at the same grd ponts, as shown n Fg. 2 (a), s used. In the SOR method, the calculaton usng the co-located grd nduces spatal pressure oscllatons. To prevent the spatal oscllaton, the defned velocty grd ponts were transformed as shown n Fg. 2 (b), and the SOR method used ths staggered grd. As the LBM treats the dagonal veloctes the same as the orthogonal veloctes, a formulaton based on the grd n Fg. 2 (c) was also conducted. The followng wll present an example of a 2-dmensonal smulaton for the change to the lqud water droplet n statonary ar wthout gravty, to show the mprovement that ths causes. The doman s dvded nto 60 x 40 square cells n the x and ŷ drectons ( x = 2.5 x 0-2 ), and a lqud droplet wth 5 x radus s placed at the center. The bottom and top of the doman are sold walls, and the left and rght sdes are gven as free outflow condtons. The non-dmensonal parameters for LBM are τ f =, τ g =, κ f = 0.5( x ) 2, L = and = 0.05, and the propertes for the lqud water and the ar are the same as n the next secton. Whle the lqud water droplet gradually spread n the conventonal smulaton, the droplet n the mproved smulaton mantaned ts dameter practcally unchanged. Fg. 3 shows a comparson between the conventonal and the mproved smulatons of mass change of statonary lqud water droplets. It s confrmed that the mass conservaton of the lqud water s clearly satsfed n the mproved smulaton. In the extended calculaton from flow n a gas channel to flow n a modfed GDL, the contnuty was stll broken and napproprate two-phase behavor was observed n some cases even wth the mproved method of solvng the Posson equaton. Ths was caused by the boundary condtons for the pressure at the corner n the modfed GDL as shown n Fg. 4 (a). The boundary condton for the pressure was set to keep the pressure gradent zero at the wall n solvng the Posson equaton, and the pressure value on the wall was gven by that at the neghborng cell on the flud sde. Smlarly, the pressure at a corner lke pont a n Fg. 4 (a) was gven as the equvalent of the average pressure at the adjacent flud ponts c and d. Ths boundary condton sometmes nduced non-neglgble errors n the correcton of the predcted velocty * û usng Eq. (9). Ths study dd not set the pressure at the corner to a certan value but adjusted t n each drecton lke (a-b) or (a-c) to make the pressure gradents zero. Ths means that pont a has dfferent pressure values to gve a zero pressure gradent for each drecton, whch s a computatonal technque to prevent the non-neglgble errors. It was G - 7 -
9 confrmed that ths mprovement of the boundary condton for the pressure results n good contnuty n the modfed GDL. Another problem of smulaton n the modfed GDL was that the lqud flow rate from nlet boundary decreased when the lqud passed through the GDL. The partcle dstrbuton functon f at the frst grd at the nlet as shown n Fg. 4 (b) was set prevous to be the equlbrum dstrbuton functon eq f calculated by Eq. (6) usng the nlet condtons, the order parameter of the nlet flud and the velocty û. However, n the case that the pressure drop n the nlet flud ncreased, the order parameter at the second grd n Fg 4 (b) was ncreased, and the reverse f values became larger. Ths nduced the problem that the mass flow rate of the nlet flud nto the smulated doman decreased. In ths study, the nlet partcle dstrbuton functon f at the frst grd s calculated to mantan a set flux û between the frst and second grds usng the values of the second grd. Ths boundary condton for the partcle dstrbuton functon f at the nlet makes t possble to control the nlet mass flow rate nto the modfed GDL accurately. 4. Results and Dscusson 4.. Lqud water behavor n a porous medum Two-phase relatvely slow flow n a porous medum s governed by capllary and vscous forces and dfferent flow regmes are descrbed by the relaton of these forces [6]. The capllary number Ca = uμ L /σ, whch represents the rato of vscous to capllary forces, s an mportant parameter n the behavor of condensed water behavor n a GDL: for a typcal fuel cell applcaton, the capllary number Ca s of the order of 0-8, and two-phase flow n a GDL falls n the regme of capllary fngerng [0]. Ths secton dscusses the effects of capllary number Ca on the lqud water behavor n a porous medum usng the LBM for the two-phase flow wth large densty dfferences, and also approprate condtons to smulate the lqud water behavor n the porous medum of PEM fuel cells. Fg. 5 shows two-dmensonal smulatons of lqud water flowng nto a modfed GDL wth three dfferent water veloctes. The whole doman s dvded nto 00 x 50 square cells n the x and y drectons. The vertcal length of the smulated doman s H = 0. mm. The bottom, y = 0 mm, corresponds to a mcro porous layer (MPL), and there are lqud water nflows wth a velocty of u L n from the 20μm wde pore at the center of the MPL. The two sdes, x = 0 and 0.2 mm are sold walls, and there s a free outflow openng at the top, y = 0. mm. Obstacles smulatng the carbon fbers n a GDL are added, and the porosty of the porous medum s 0.8 wth a maxmum pore dameter of about 30 μm. The sold surfaces are - 8 -
10 all set to hydrophobc wth the contact angle of 50, wth the order parameters S The smulated GDL propertes, the porosty, the maxmum pore dameter and the contact angle, are wthn the typcal range of the actual GDLs. The GDL n ths calculaton can be a frst stage model of an example of modfed GDLs n the 2-dmensonal smulaton. All the propertes of lqud water and ar are the actual establshed values. The densty rato of the lqud water to the ar s ρ L /ρ G = 847 (ρ L = 997 kg m -3, ρ G =.8 kg m -3 ), the vscostes of the water and ar are μ L = 8.54 x 0-4 Pa s and μ G =.86 x 0-5 Pa s, and the nterfacal tenson between water and ar s σ = 7.29 x 0-2 N m -. The tme step Δt s set to.0 x 0-9 s and the gravtatonal acceleraton s g = 0 m s -2. The other non-dmensonal parameters for LBM are the same as n the prevous secton. The fner tme step and grd sze ensure better convergence and accuracy of the smulaton bascally, but they nduce longer computaton tme. The approprate tme step and grd sze were selected by analyzng ther effects on the smulaton of the lqud water and the gas flow n a channel and a smplfed GDL. Fg. 5 (a) shows the smulaton results wth the fastest nlet velocty of lqud water u L n = 2.0 m s -, and the capllary number Ca = 2.3 x 0-2. After fllng the frst pore, the lqud water progresses through all four throats (left n Fg. 5 (a)). Then, t spreads out to both sdes and grows nto an almost homogeneous lqud phase from the bottom (rght n Fg. 5 (a)). In Fg. 5 (b), where the nlet velocty s u L n = 0.20 m s - and the capllary number Ca = 2.3 x 0-3, the lqud water flows selectvely nto relatvely-wde throats and pores and the drecton of progress s lmted to two paths (Fg. 5 (b)). Wth the slowest velocty u L n = m s - and the smallest capllary number Ca = 2.3 x 0-4 n Fg. 5 (c), lqud water also progresses nto two throats n the early-stages (left n Fg. 5 (c)). However, once the largest path has grown dagonally upward left, the lqud water n the other, rght, throat recedes and flows nto the man branch: fnally only one path, the one through the largest throats and pores s developed (rght n Fg. 5 (c)). Ths phenomenon of recedng water n a GDL s dscussed n the next secton. These smulaton results show that the selectvty of lqud water progresson n a GDL ncreases wth decreasng capllary number. Ths s because the effect of the capllary force on water behavor becomes domnant over the vscous force. Although the capllary number n the smulaton s much larger than that n a typcal fuel cell applcaton where Ca s of order of 0-8, the results n Fg. 5 (c) smulate the capllary fngerng well, and s consdered to be close to the actual behavor of lqud water n a GDL. Because t requres huge amounts of computaton tme to smulate the extremely slow producton of the lqud water n the actual fuel cell, the followng smulatons use 0.02 m s - as the nlet velocty of the lqud water to shorten computaton tme. Smlar smulatons were conducted, wth the vertcal length of the smulated doman H changed from 0. mm to.0 mm, and the tme step Δt.0 x 0-8 s. Here, the maxmum pore dameter becomes about 0.3 mm and ths smulates lqud water behavor n a porous separator wthout channels, lke that recently proposed as an alternatve to cells wth gas flow channels [7,8]. The results n Fgs. 6 (a), (b) and (c) correspond to those at rght n Fg. 5. In spte of the 0 tmes doman heght H, the lqud water dstrbutons are very smlar. These smulaton results ndcate that two-phase flows n the porous medum wth the same capllary number are analogous n the range of relatvely-slow veloctes because the length effects on the capllary and vscous forces cancel out
11 The LBM smulaton, consderng capllary, vscous and nertal forces, confrmed that t s possble to smulate the smlarty of capllary number Ca n two-phase flows n PEM fuel cells. Further, the LBM n ths study, whch consders actual physcal propertes, offers sgnfcant advantages n evaluatng two-phase phenomena affected by the nteracton between lqud water and ar flows Effect of ar flow n gas flow channel on the lqud water behavor The smulaton of lqud water behavor n a GDL wth ar flow n the gas flow channel was conducted as an example of a two-phase flow affected by the nteracton between lqud water and ar flows n fuel cells. Fg. 7 shows a schematc dagram of the computaton doman: the whole doman s dvded nto 00 x 35 square cells n the x and y drectons; the vertcal length of the smulaton doman s H =.0 mm; the upper and the lower parts correspond to a gas flow channel and a smplfed GDL where the channel heght s set relatvely shallow to nvestgate effects of the upper separator wall on the lqud water because the drag force of ar on lqud water becomes much stronger n a two-dmensonal channel than n an actual three-dmensonal channel. The unform ar flow and free outflow condton are at the left nlet sde, x = 0 mm, and at the rght outlet sde, x = 2.9 mm, except n the bottom parts. Unform flows of lqud water are also gven at the bottom, y = 0 mm. The veloctes of nlet ar and lqud water are 0.05 m s - and 0.02 m s -. The obstacles smulatng the smplfed GDL are hydrophobc wth the contact angle of 50 (the order parameter S = 0.025) and the effect of the wettablty of the separator s examned usng hydrophobc (contact angle 50, S = 0.025) or hydrophlc (contact angle 40, S = 0.080) walls; Δt s.43 x 0-7 s, and the propertes of lqud water and ar, and the other parameters for the LBM are the same as n the calculatons above. Fg. 8 shows the smulaton results wth the hydrophobc separator wall. The lqud water progresses selectvely through the wder pores, as n Fg. 8 (a). When the lqud water exts to the channel, the lqud water body s broken up and the adjacent water branch n the narrow GDL pore recedes, Fg. 8 (a), (b). Ths phenomenon has been suggested from ex stu vsualzaton of lqud water n a GDL usng fluorescence mcroscopy [9], and shows that the LBM can smulate ths phenomenon. After extng to the channel, the lqud water forms nto a droplet and s draned by the ar flow n the channel (Fg. 8 (b)). Fg. 9 shows the results wth the hydrophlc separator wall. The lqud water expelled from the GDL s attracted by the hydrophlc separator and forms a water flm along the wall (Fg. 9 (a), (b)). Ths attractng of the water produces a vod space and ar flow near the nterface between GDL and channel (Fg. 9 (b)). Ths may be expected to mprove the floodng characterstcs. The smulaton results confrm that the LBM s effectve to smulate two-phase flows affected by the nteracton between lqud water and ar flows, and suggests that the wettablty of the gas flow channel s mportant for the two-phase flow n a fuel cell. It further suggests that control of the wettablty of the separator can result n a favorable dstrbuton of lqud water and ar flows
12 4.3. Lqud water and ar flow behavor n a porous separator wthout channels To ensure a favorable dstrbuton of lqud water and relable ar flow, a cell wth a porous separator wthout channels was smulated. The porous separator has recently been proposed as an alternatve to cells wth gas flow channels, and the structure wthout channels s expected to enable a realzaton of unform reacton over the actve area of the membrane electrode assembly [7,8]. Fg. 0 shows a schematc dagram of the computaton doman: the obstacles smulatng the porous separator and the pore on the bottom MPL n Fg. 6 are to the left, and some further arrangements were added. The whole doman s dvded nto 00 x 50 square cells n the x and y drectons. The vertcal length of the smulated doman s H =.0 mm. The top s a wall, and unform ar flow and the free outflow are provded at the left nlet sde, x = 0 mm, and at the rght outlet sde, x = 0.2 mm. A unform flow of lqud water s also provded at the bottom pore of MPL, the veloctes of nlet ar and lqud water are 0.05 m s - and 0.02 m s -. To dscuss the water and ar flow dstrbutons n the porous separator, the doman s dvded nto three regons, (I) lower, (II) ntermedate, and (III) upper, as shown n Fg. 0. Two cases wth dfferent wettabltes of the porous separator were smulated; the sold surfaces were all hydrophobc (contact angle 50, S = 0.025) and the upper shaded portons are changed to hydrophlc (contact angle 40, S = 0.080); Δt s.0 x 0-7 s, and the propertes of lqud water and ar, and other parameters for the LBM are same as the calculatons above. Fg. shows the changes n water weght and average ar flow rates along the separator for each regon n the hydrophobc porous separator. Before 0.00 s, the lqud water weght n regon I ncrease frst followed by ncreases n regon II, as shown n Fg. (a). Smultaneously, the average ar flow rates n regons I and II decrease, ncreasng the ar flow rate n regon III, Fg. (b), where the ntal ar flow rates at the 0 s n each regon are very smlar. Fg. 2 shows the appearances of the areas of lqud water (black) and ar flow (uncolored) n the hydrophobc porous separator at three tme ponts. Dfferent from Fg. 6 (c), the lqud water does not move dagonally upward left, but due to the effect of ar flow t moves through the rght throat (Fg. 2 (a)). Then, lqud water proceedng upward s broken up and draned by the strong ar flow n regon III, establshng a dynamc equlbrum (Fg. 2 (b), (c)). Thus, the ncrease n the water weght n regon III s suppressed and the oscllatons n average ar flow rates n Fg. (b) after 0.50 s are caused by the breakup of the lqud water body. Fg. 3 shows the changes n water weght and average ar flow rates along the separator for each regon n the hydrophobc-hydrophlc porous separator. (The upper shaded portons n Fg. 0 are here changed to hydrophlc.) Fg. 4 s the appearance of the area of lqud water (black) and ar flow (uncolored) at three tme ponts n the hydrophobc-hydrophlc porous separator. The lqud water weght grows n regon III, attracted to the hydrophlc porous separator (Fg. 4 (a)). Ths nduces the ncrease n water weght n regon III after 0.06 s (Fg. 3 (a)), and the average ar flow n regon III decreases to nearly zero (Fg. 3 (b)), formng a lqud water regon along the top wall (Fg. 4 (b)). In regon II, the lqud water weght decreases and the average ar flow rate ncreases drastcally (Fg. 3 (a), (b)). - -
13 The lqud water s broken up by the strong ar flow n regon II, and a dynamc equlbrum s mantaned after s (Fg. 4 (b), (c)). It should be noted that the lqud phase along the top wall s draned by the ar flow n regon II contnuously and mantaned a certan amount, and the dynamc equlbrum can not be realzed by replacng the lqud water phase wth a sold wall n regon III. Ths ar path can be antcpated to contrbute to better cell performance because reacton gas s easly suppled to the reacton area under the bottom. Overall, the smulaton results show that controllng wettablty of the porous separator s effectve to realze an optmum two-phase dstrbuton, where the ar flow occurs between reacton area and condensed water. 5. Conclusons The numercal smulatons usng the lattce Boltzmann method (LBM) for two-phase flows wth large densty dfferences has been developed to understand the dynamc behavor of condensed water and gas flows n a polymer electrolyte membrane (PEM) fuel cell. The calculaton process of the LBM smulaton, e.g. the dscretzaton procedure n solvng the Posson equaton and the boundary condtons for pressure at corners and the partcle dstrbuton functon at the nlet, was mproved to extend the applcaton of the smulaton n a porous medum lke a gas dffuson layer (GDL). Wth the mprovements a stable and relable smulaton of two-phase flows wth large densty dfferences n a porous medum was possble. Usng the mproved smulaton, the applcablty of the LBM and sutably selected condtons to smulate lqud water behavor n the GDL are dscussed, and the sgnfcant advantages of ths smulaton, whch can consder actual physcal propertes, are demonstrated. Frst, t s shown that dynamc capllary fngerng can be smulated at lower mgraton speeds of lqud water n a modfed GDL, and that the LBM smulaton, consderng capllary, vscous and nertal forces, smulates the smlarty of capllary number, Ca, n two-phase flow n a PEM fuel cell. Then, as examples of the two-phase flow affected by the nteracton between lqud water and ar flows, two-dmensonal smulatons wth ar flow n a smplfed GDL wth a gas flow channel and n a porous separator are demonstrated. The smulaton n the smplfed GDL suggested that the wettablty of the channel strongly nfluences the two-phase flow n a fuel cell, and the possblty that control of the wettablty of the separator can be used to assst n an effcent dstrbuton of lqud water and ar flows. The smulaton n the porous separator wthout channels also showed that controllng the wettablty of the porous separator s more effectve to realze an optmum two-phase dstrbuton wth the ar flow formed between the reacton area and condensed water. Acknowledgment The authors thank Prof. Inamuro (Kyoto Unversty) and Prof. Oshma (Hokkado Unversty) for helpful comments on the LBM scheme. We also thank Mr. K. Kbo (a master s student of Hokkado Unversty) for nvaluable contrbuton to the development of the smulaton. References - 2 -
14 [] J. H. Nam, M. Kavany, M., Int. J. Heat Mass Transfer 46 (2003) [2] U. Pasaogullar, C. Y. Wang, J. Electrochem. Soc. 5 (3) (2004) A399-A406. [3] T. Bernng, N. Djlal, J. Electrochem. Soc. 50 (2) (2003) A589-A598. [4] G. Luo, H. Ju. C. Y. Wang, J. Electrochem. Soc. 54 (3) (2007) B36-B32. [5] K. Tüber, D. Pócza, C. Heblng, J. Power Sources 24 (2003) [6] X. G. Yang, F. Y. Zhang, A. L. Lubawy, C. Y. Wang, Electrochem. Sold-State Letters 7 () (2004) A408-A4. [7] T. Och, K. Kkuta, Y. Tabe, T. Chkahsa, Proc. 6th KSME-JASME Thermal and Flud Engneerng Conference (2005) [/ (CD-ROM) JJ-05] -4. [8] Y. Tabe, T. Och, K. Kkuta, T. Chkahsa, H. Shnohara, Proc. 3rd Int. Conf. Fuel Cell Scence, Engneerng and Technology (2005) [/ (CD-ROM) 7472] -6. [9] X. Zhu, P. C. Su, N. Djlal, J. Power Sources 72 (2007) [0] P. K. Snha, C. Y. Wang, Electrochm. Acta 52 (2007) [] V. P. Schulz, J. Becker, A. Wegmann, P. P. Mukherjee, C. Y. Wang, J. Electrochem. Soc. 54 (4) (2007) B49-B426. [2] T. Inamuro, T. Ogata, S. Tajma, S. Konsh, J. Comput. Phys. 98 (2004) [3] S. Succ, The Lattce Boltzmann Equaton for Flud Dynamcs and Beyond, Oxford Scence Publcatons, New York, 200. [4] T. Seta, R. Takahash, Proc. 4th Computatonal Engneerng Conference 0-0 (200) (n Japanese). [5] J. H. Ferzger, M. Perć, Computatonal Methods for Flud Dynamcs, Sprnger, Berln, 996. [6] R. Lenormand, J. Phys. Condes. Matter 2 (990) SA79. [7] A. Kumar, R. G. Reddy, J. Power Sources 29 (2004) [8] S. Arsetty, A. K. Prasad, S. G. Advan, J. Power Sources 65 (2007) [9] S. Ltster, D. Snton, N. Djlal, J. Power Sources 54 (2006)
15 Fg.. Lattce structure of two-dmensonal 9 veloctes model (2D9V model). Fg. 2. Lattce confguratons used n the LBM and the SOR method. Fg. 3. Conventonal and mproved smulaton results of the mass change of lqud water droplets n statonary ar. Fg. 4. Correctons when settng boundary condtons. Fg. 5. Lqud water flow behavor n the modfed GDL at dfferent nflow veloctes, u n L = 2.0, 0.20, m s -, Ca = 2.3 x 0-2, 2.3 x 0-3, 2.3 x 0-4, H = 0. mm. n Fg. 6. Lqud water flow behavor n the porous separator at dfferent nflow veloctes, u L = 2.0, 0.20, m s -, Ca = 2.3 x 0-2, 2.3 x 0-3, 2.3 x 0-4, H =.0 mm. Fg. 7. Schematc outlne of the computaton doman for the lqud water behavor n a smplfed GDL wth ar flow n the gas flow channel. Fg. 8. Behavor of lqud water and ar flow n the GDL and channel wth the hydrophobc separator. Fg. 9. Behavor of lqud water and ar flow n the GDL and channel wth the hydrophlc separator. Fg. 0. Schematc outlne of the computaton doman for the lqud water and ar flow behavor n a porous separator. Fg.. Changes n water weght and average ar flow rates along the separator n the three regons, (I) lower, (II) ntermedate, and (III) upper n the hydrophobc porous separator. Fg. 2. Behavor of lqud water and ar flow n the hydrophobc porous separator, H =.0 mm. Fg. 3. Changes n water weght and average ar flow rates along the separator n the three regons, (I) lower, (II) ntermedate, and (III) upper n the hydrophobc-hydrophlc porous separator. Fg. 4. Behavor of lqud water and ar flow n the hydrophobc-hydrophlc porous separator, H =.0 mm
16 ĉ 7 ĉ 3 ĉ 6 ĉ 4 ĉ ĉ 2 ŷ x ĉ 8 ĉ 5 ĉ 9 Fg
17 : : p v ŷ : û x x x x x x x (a) Co-locate grd (b) Staggered grd (c) Staggered grd 2 Fg
18 Mass of 液相質量 lqud phase Conventonal Improved tme step Tme step Fg
19 f a Sold wall c d b e p 0 x Inlet boundary Inlet û f û 2 (a) Pressure p at the corner (b) Partcle dstrbuton functon f at the nlet Fg
20 y x x 0-3 s x 0-3 s (a) u L n = 2.0 m s - (Ca = 2.3 x 0-2 ) x 0-3 s.20 x 0-3 s (b) u L n = 0.20 m s - (Ca = 2.3 x 0-3 ) 4.00 x 0-3 s 7.00 x 0-3 s (c) u L n = m s - (Ca = 2.3 x 0-4 ) Fg
21 2.00 x 0-3 s 2.0 x 0-3 s 70.0 x 0-3 s (a) u n L = 2.0 m s - (b) u n L = 0.20 m s - (c) u n L = m s - (Ca = 2.3 x 0-2 ) (Ca = 2.3 x 0-3 ) (Ca = 2.3 x 0-4 ) Fg
22 Ar H y x Water Separator wall Channel GDL Fg
23 (a) 27.7 x 0-3 s (b) 44.9 x 0-3 s Fg
24 (a) 20.0 x 0-3 s (b) 35.8 x 0-3 s Fg
25 Ar y H x Water Fg
26 x Water weght / kg x Tme / s Tme / s Average flow rate / m 2 s - (a) Water weght (b) Average ar flow rate Fg
27 (a) 0.00 s (b) 0.50 s (c) s Fg
28 x Water weght / kg x Tme / s Tme / s Average flow rate / m 2 s - (a) Water weght (b) Average ar flow rate Fg
29 (a) 0.06 s (b) s (c) s Fg
(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 informationInductance 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 informationModule 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 informationSTUDY 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 informationNumerical 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 informationLecture 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 informationELASTIC 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 informationPhysics 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 informationWeek3, 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 informationNumerical Simulation of Lid-Driven Cavity Flow Using the Lattice Boltzmann Method
Proceedngs of the 3th WSEAS Internatonal Conference on APPLIED MATHEMATICS (MATH'8) Numercal Smulaton of Ld-Drven Cavty Flow Usng the Lattce Boltzmann Method M.A. MUSSA, S. ABDULLAH *, C.S. NOR AZWADI
More informationCHAPTER 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 informationAppendix 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 informationElectrical 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 informationOne-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 information2 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 informationComputational 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 informationModule 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 informationNUMERICAL 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 informationPhysics 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 informationLattice Boltzmann simulation of nucleate boiling in micro-pillar structured surface
Proceedngs of the Asan Conference on Thermal Scences 017, 1st ACTS March 6-30, 017, Jeju Island, Korea ACTS-P00545 Lattce Boltzmann smulaton of nucleate bolng n mcro-pllar structured surface Png Zhou,
More informationHigh 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 informationA Solution of the Harry-Dym Equation Using Lattice-Boltzmannn and a Solitary Wave Methods
Appled Mathematcal Scences, Vol. 11, 2017, no. 52, 2579-2586 HIKARI Ltd, www.m-hkar.com https://do.org/10.12988/ams.2017.79280 A Soluton of the Harry-Dym Equaton Usng Lattce-Boltzmannn and a Soltary Wave
More informationChapter - 2. Distribution System Power Flow Analysis
Chapter - 2 Dstrbuton System Power Flow Analyss CHAPTER - 2 Radal Dstrbuton System Load Flow 2.1 Introducton Load flow s an mportant tool [66] for analyzng electrcal power system network performance. Load
More informationA 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 informationA 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 informationNumerical 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 informationTensor 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 informationComputational Study of Transition of Oil-water Flow Morphology due to Sudden Contraction in Microfluidic Channel
Computatonal Study of Transton of Ol-water Flow Morphology due to Sudden Contracton n Mcrofludc Channel J. Chaudhur 1, S. Tmung 1, T. K. Mandal 1,2, and D. Bandyopadhyay *1,2 1 Department of Chemcal Engneerng,
More informationCOMPARISON 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 informationReport on Image warping
Report on Image warpng Xuan Ne, Dec. 20, 2004 Ths document summarzed the algorthms of our mage warpng soluton for further study, and there s a detaled descrpton about the mplementaton of these algorthms.
More informationA 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 informationFirst Law: A body at rest remains at rest, a body in motion continues to move at constant velocity, unless acted upon by an external force.
Secton 1. Dynamcs (Newton s Laws of Moton) Two approaches: 1) Gven all the forces actng on a body, predct the subsequent (changes n) moton. 2) Gven the (changes n) moton of a body, nfer what forces act
More informationGlobal 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 informationAmplification and Relaxation of Electron Spin Polarization in Semiconductor Devices
Amplfcaton and Relaxaton of Electron Spn Polarzaton n Semconductor Devces Yury V. Pershn and Vladmr Prvman Center for Quantum Devce Technology, Clarkson Unversty, Potsdam, New York 13699-570, USA Spn Relaxaton
More informationOptimal Control of Temperature in Fluid Flow
Kawahara Lab. 5 March. 27 Optmal Control of Temperature n Flud Flow Dasuke YAMAZAKI Department of Cvl Engneerng, Chuo Unversty Kasuga -3-27, Bunkyou-ku, Tokyo 2-855, Japan E-mal : d33422@educ.kc.chuo-u.ac.jp
More informationFORCED 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 informationLecture 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 informationBrownian-Dynamics Simulation of Colloidal Suspensions with Kob-Andersen Type Lennard-Jones Potentials 1
Brownan-Dynamcs Smulaton of Collodal Suspensons wth Kob-Andersen Type Lennard-Jones Potentals 1 Yuto KIMURA 2 and Mcho TOKUYAMA 3 Summary Extensve Brownan-dynamcs smulatons of bnary collodal suspenton
More informationNON-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 informationNormally, 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 informationThermal-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 informationAdiabatic 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 informationLecture 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 informationThermodynamics 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 informationA 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 informationCFD 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 informationLattice Boltzmann Method and its Application to Flow Analysis in Porous Media
Specal Issue Multscale Smulatons for Materals 7 Research Report Lattce Boltzmann Method and ts Applcaton to Flow Analyss n Porous Meda Hdemtsu Hayash Abstract Under the exstence of an external force, a
More informationChapter 02: Numerical methods for microfluidics. Xiangyu Hu Technical University of Munich
Chapter 02: Numercal methods for mcrofludcs Xangyu Hu Techncal Unversty of Munch Possble numercal approaches Macroscopc approaches Fnte volume/element method Thn flm method Mcroscopc approaches Molecular
More informationPhysics 53. Rotational Motion 3. Sir, I have found you an argument, but I am not obliged to find you an understanding.
Physcs 53 Rotatonal Moton 3 Sr, I have found you an argument, but I am not oblged to fnd you an understandng. Samuel Johnson Angular momentum Wth respect to rotatonal moton of a body, moment of nerta plays
More informationChapter 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 informationHYBRID LBM-FVM AND LBM-MCM METHODS FOR FLUID FLOW AND HEAT TRANSFER SIMULATION
HYBRID LBM-FVM AND LBM-MCM METHODS FOR FLUID FLOW AND HEAT TRANSFER SIMULATION Zheng L a,b, Mo Yang b and Yuwen Zhang a* a Department of Mechancal and Aerospace Engneerng, Unversty of Mssour, Columba,
More informationInvestigation of a New Monte Carlo Method for the Transitional Gas Flow
Investgaton of a New Monte Carlo Method for the Transtonal Gas Flow X. Luo and Chr. Day Karlsruhe Insttute of Technology(KIT) Insttute for Techncal Physcs 7602 Karlsruhe Germany Abstract. The Drect Smulaton
More informationIntroduction 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 informationTHE 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 informationDESIGN OPTIMIZATION OF CFRP RECTANGULAR BOX SUBJECTED TO ARBITRARY LOADINGS
Munch, Germany, 26-30 th June 2016 1 DESIGN OPTIMIZATION OF CFRP RECTANGULAR BOX SUBJECTED TO ARBITRARY LOADINGS Q.T. Guo 1*, Z.Y. L 1, T. Ohor 1 and J. Takahash 1 1 Department of Systems Innovaton, School
More informationA 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 informationThe Quadratic Trigonometric Bézier Curve with Single Shape Parameter
J. Basc. Appl. Sc. Res., (3541-546, 01 01, TextRoad Publcaton ISSN 090-4304 Journal of Basc and Appled Scentfc Research www.textroad.com The Quadratc Trgonometrc Bézer Curve wth Sngle Shape Parameter Uzma
More informationarxiv: v1 [physics.flu-dyn] 16 Sep 2013
Three-Dmensonal Smoothed Partcle Hydrodynamcs Method for Smulatng Free Surface Flows Rzal Dw Prayogo a,b, Chrstan Fredy Naa a a Faculty of Mathematcs and Natural Scences, Insttut Teknolog Bandung, Jl.
More informationGravitational Acceleration: A case of constant acceleration (approx. 2 hr.) (6/7/11)
Gravtatonal Acceleraton: A case of constant acceleraton (approx. hr.) (6/7/11) Introducton The gravtatonal force s one of the fundamental forces of nature. Under the nfluence of ths force all objects havng
More informationEVALUATION 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 informationLecture 13 APPROXIMATION OF SECOMD ORDER DERIVATIVES
COMPUTATIONAL FLUID DYNAMICS: FDM: Appromaton of Second Order Dervatves Lecture APPROXIMATION OF SECOMD ORDER DERIVATIVES. APPROXIMATION OF SECOND ORDER DERIVATIVES Second order dervatves appear n dffusve
More informationThe 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 informationCHAPTER 9 CONCLUSIONS
78 CHAPTER 9 CONCLUSIONS uctlty and structural ntegrty are essentally requred for structures subjected to suddenly appled dynamc loads such as shock loads. Renforced Concrete (RC), the most wdely used
More informationKernel Methods and SVMs Extension
Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general
More information2.29 Numerical Fluid Mechanics Fall 2011 Lecture 12
REVIEW Lecture 11: 2.29 Numercal Flud Mechancs Fall 2011 Lecture 12 End of (Lnear) Algebrac Systems Gradent Methods Krylov Subspace Methods Precondtonng of Ax=b FINITE DIFFERENCES Classfcaton of Partal
More informationχ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body
Secton.. Moton.. The Materal Body and Moton hyscal materals n the real world are modeled usng an abstract mathematcal entty called a body. Ths body conssts of an nfnte number of materal partcles. Shown
More informationModule 14: THE INTEGRAL Exploring Calculus
Module 14: THE INTEGRAL Explorng Calculus Part I Approxmatons and the Defnte Integral It was known n the 1600s before the calculus was developed that the area of an rregularly shaped regon could be approxmated
More informationResource Allocation with a Budget Constraint for Computing Independent Tasks in the Cloud
Resource Allocaton wth a Budget Constrant for Computng Independent Tasks n the Cloud Wemng Sh and Bo Hong School of Electrcal and Computer Engneerng Georga Insttute of Technology, USA 2nd IEEE Internatonal
More informationVisco-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 informationEN40: Dynamics and Vibrations. Homework 4: Work, Energy and Linear Momentum Due Friday March 1 st
EN40: Dynamcs and bratons Homework 4: Work, Energy and Lnear Momentum Due Frday March 1 st School of Engneerng Brown Unversty 1. The fgure (from ths publcaton) shows the energy per unt area requred to
More informationTurbulent 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 informationFlow 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 informationCONTROLLED FLOW SIMULATION USING SPH METHOD
HERI COADA AIR FORCE ACADEMY ROMAIA ITERATIOAL COFERECE of SCIETIFIC PAPER AFASES 01 Brasov, 4-6 May 01 GEERAL M.R. STEFAIK ARMED FORCES ACADEMY SLOVAK REPUBLIC COTROLLED FLOW SIMULATIO USIG SPH METHOD
More informationChapter 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 informationSIMULATION OF SOUND WAVE PROPAGATION IN TURBULENT FLOWS USING A LATTICE-BOLTZMANN SCHEME. Abstract
SIMULATION OF SOUND WAVE PROPAGATION IN TURBULENT FLOWS USING A LATTICE-BOLTZMANN SCHEME PACS REFERENCE: 43.20.Mv Andreas Wlde Fraunhofer Insttut für Integrerte Schaltungen, Außenstelle EAS Zeunerstr.
More informationLifetime prediction of EP and NBR rubber seal by thermos-viscoelastic model
ECCMR, Prague, Czech Republc; September 3 th, 2015 Lfetme predcton of EP and NBR rubber seal by thermos-vscoelastc model Kotaro KOBAYASHI, Takahro ISOZAKI, Akhro MATSUDA Unversty of Tsukuba, Japan Yoshnobu
More informationSupplementary 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 informationGrid Generation around a Cylinder by Complex Potential Functions
Research Journal of Appled Scences, Engneerng and Technolog 4(): 53-535, 0 ISSN: 040-7467 Mawell Scentfc Organzaton, 0 Submtted: December 0, 0 Accepted: Januar, 0 Publshed: June 0, 0 Grd Generaton around
More informationConstitutive 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 informationAn Improved Model for the Droplet Size Distribution in Sprays Developed From the Principle of Entropy Generation maximization
ILASS Amercas, 9 th Annual Conference on Lqud Atomzaton and Spray Systems, oronto, Canada, May 6 An Improved Model for the Droplet Sze Dstrbuton n Sprays Developed From the Prncple of Entropy Generaton
More informationCHAPTER IV RESEARCH FINDING AND DISCUSSIONS
CHAPTER IV RESEARCH FINDING AND DISCUSSIONS A. Descrpton of Research Fndng. The Implementaton of Learnng Havng ganed the whole needed data, the researcher then dd analyss whch refers to the statstcal data
More informationOn 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 informationSusceptibility and Inverted Hysteresis Loop of Prussian Blue Analogs with Orthorhombic Structure
Commun. Theor. Phys. 58 (202) 772 776 Vol. 58, No. 5, November 5, 202 Susceptblty and Inverted Hysteress Loop of Prussan Blue Analogs wth Orthorhombc Structure GUO An-Bang (ÁËǑ) and JIANG We ( å) School
More informationNumerical Investigation of Electroosmotic Flow. in Convergent/Divergent Micronozzle
Appled Mathematcal Scences, Vol. 5, 2011, no. 27, 1317-1323 Numercal Investgaton of Electroosmotc Flow n Convergent/Dvergent Mcronozzle V. Gnanaraj, V. Mohan, B. Vellakannan Thagarajar College of Engneerng
More informationGEOSYNTHETICS ENGINEERING: IN THEORY AND PRACTICE
GEOSYNTHETICS ENGINEERING: IN THEORY AND PRACTICE Prof. J. N. Mandal Department of cvl engneerng, IIT Bombay, Powa, Mumba 400076, Inda. Tel.022-25767328 emal: cejnm@cvl.tb.ac.n Module - 9 LECTURE - 48
More informationAirflow and Contaminant Simulation with CONTAM
Arflow and Contamnant Smulaton wth CONTAM George Walton, NIST CHAMPS Developers Workshop Syracuse Unversty June 19, 2006 Network Analogy Electrc Ppe, Duct & Ar Wre Ppe, Duct, or Openng Juncton Juncton
More informationIntroduction 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 informationResearch & 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 informationLinear 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 informationImplicit 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 informationAir Age Equation Parameterized by Ventilation Grouped Time WU Wen-zhong
Appled Mechancs and Materals Submtted: 2014-05-07 ISSN: 1662-7482, Vols. 587-589, pp 449-452 Accepted: 2014-05-10 do:10.4028/www.scentfc.net/amm.587-589.449 Onlne: 2014-07-04 2014 Trans Tech Publcatons,
More informationLecture 14: Forces and Stresses
The Nuts and Bolts of Frst-Prncples Smulaton Lecture 14: Forces and Stresses Durham, 6th-13th December 2001 CASTEP Developers Group wth support from the ESF ψ k Network Overvew of Lecture Why bother? Theoretcal
More informationMATH 5630: Discrete Time-Space Model Hung Phan, UMass Lowell March 1, 2018
MATH 5630: Dscrete Tme-Space Model Hung Phan, UMass Lowell March, 08 Newton s Law of Coolng Consder the coolng of a well strred coffee so that the temperature does not depend on space Newton s law of collng
More informationCOMPOSITE 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 informationGrand 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 informationProperty calculation I
.0, 3.0, 0.333,.00 Introducton to Modelng and Smulaton Sprng 0 Part I Contnuum and partcle methods Property calculaton I Lecture 3 Markus J. Buehler Laboratory for Atomstc and Molecular Mechancs Department
More informationSolution for singularly perturbed problems via cubic spline in tension
ISSN 76-769 England UK Journal of Informaton and Computng Scence Vol. No. 06 pp.6-69 Soluton for sngularly perturbed problems va cubc splne n tenson K. Aruna A. S. V. Rav Kant Flud Dynamcs Dvson Scool
More informationAn identification algorithm of model kinetic parameters of the interfacial layer growth in fiber composites
IOP Conference Seres: Materals Scence and Engneerng PAPER OPE ACCESS An dentfcaton algorthm of model knetc parameters of the nterfacal layer growth n fber compostes o cte ths artcle: V Zubov et al 216
More information1-Dimensional Advection-Diffusion Finite Difference Model Due to a Flow under Propagating Solitary Wave
014 4th Internatonal Conference on Future nvronment and nergy IPCB vol.61 (014) (014) IACSIT Press, Sngapore I: 10.776/IPCB. 014. V61. 6 1-mensonal Advecton-ffuson Fnte fference Model ue to a Flow under
More informationDETERMINATION 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