Turbulent buoyant confined jet with variable source temperature

Size: px
Start display at page:

Download "Turbulent buoyant confined jet with variable source temperature"

Transcription

1 Tubulen buoyan confined je wih vaiable souce empeaue M. F. El-Amin 1,, Amgad Salama 1 and Shuyu Sun 1 1 King Abdullah Univesiy of Science and Technology (KAUST), Thuwal , Kingdom of Saudi Aabia Depamen of Mahemaics, Faculy of Science, Aswan Univesiy, Aswan 8158, Egyp Absac In his wok, expeimenal and numeical invesigaions ae consideed fo confined buoyan ubulen je wih vaying inle empeaues. Resuls of he expeimenal wok and numeical simulaions fo he poblem unde consideaion ae pesened. Fou cases of diffeen vaiable inle empeaues and diffeen flow aes ae consideed. The ealizable k ε ubulence model is used o model he ubulen flow. Compaisons show good ageemens beween simulaed and measued esuls. The aveage deviaion of he simulaed empeaue by ealizable k ε ubulen model and he measued empeaue is wihin %. The esuls indicae ha empeaues along he veical axis vay, geneally, in nonlinea fashion as opposed o he appoximaely linea vaiaion ha was obseved fo he consan inle empeaue ha was done in a pevious wok. Fuhemoe, hemal saificaion exis paiculaly close o he enance egion. Fuhe away fom he enance egion he vaiaion in empeaues becomes elaively smalle. The saificaion is obseved since he sa of he expeimen and coninues duing whole ime. Numeical expeimens fo consan, monoone inceasing and monoone deceasing of inle empeaue ae done o show is effec on he buoyancy foce in ems of Richadson numbe. Keywods: ealizable k ε model, ubulen je, saificaion, hea soes, CFD 1

2 Nomenclaue A 0 consan defined in Eq. (3) A s consan defined in Eq. (4) b CFD c local je widh [m] Compuaional Fluid Dynamics laeal spead ae of he je C 1 paamee defined in Eq. (0) C consan equals 1.9 C p specific hea [m /s K] C 1ε consan equals 1.44 C 3ε paamee defined in Eq. (0) C µ coefficien defined in Eq. (1) d inle diamee [m] g acceleaion due o gaviy [m/s ] G b geneaion of ubulence due o buoyancy G k geneaion of ubulen kineic enegy due o he mean velociy gadien I 0 inensiy of ubulence a he nozzle inle k R Re S T ubulen kineic enegy adial axis [m] Richadson numbe Reynolds numbe sain ae empeaue [K]

3 T exp measued empeaue [K] T in inle empeaue [K] T sim simulaed empeaue [K] p P P 0 ime [s] pessue [Pa] dynamic pessue [Pa] inle dynamic pessue [Pa] P c ceneline dynamic pessue [Pa] P u u c ubulen Pandl numbe fo enegy mean axial velociy componen [m/s] ceneline velociy [m/s] u 0 inle velociy [m/s] v z mean adial velociy componen [m/s] axial axis [m] Geek symbols Δ ime sep [s] Δ T empeaue diffeence [K] Δ ρ densiy diffeence [kg/m 3 ] β ε λ hemal expansion coefficien [1/K] ubulence dissipaion ae hemal conduciviy W/(m.K) µ dynamic viscosiy [kg/m s] µ ubulen viscosiy 3

4 ν kinemaics viscosiy [m s] ρ densiy [kg/m 3 ] θ consan defined in Eq. (5) σ k σ ε ubulen Pandl numbe fo k ubulen Pandl numbe foε Inoducion Alhough saificaion of fluids due o he exisence of empeaue gadiens is no desiable in many pocesses ha equie homogenizaion, i is, in ohe pocesses (e.g., hea soage anks) desiable because of he low mixing mechanisms involved which help mainaining he equied empeaue disibuion. The poblem, howeve, in hemally saified hea soage anks is is sensiiviy o exenal disubance. Tha is he sae of hemal saificaion could be desoyed once sufficien disubance is inoduced. In paicula, he condiions a he inle ae consideed as one example of such disubance souces. Theefoe, i is impoan o sudy he effec of inle condiions on saificaion behavio of such sysems. Since, in hea soage anks and in many ohe applicaions, fluids ene he ank in he fom of buoyan je, gea deal of woks on je flow have been consideed eihe expeimenally o numeically. Howeve, he poblem of buoyan heaed je wih vaiable souce empeaue which can be found in many indusial and envionmenal applicaions, has eceived elaively lile aenion. Je flow can be divided mainly ino hee ypes, pue je, pue plume and foced plume. In pue jes, fluids ine he domain wih high momenum fluxes which essenially cause highe inensiy of ubulen mixing. In pue plume, on he ohe hand, buoyancy fluxes cause local acceleaion leading o ubulen mixing. In he geneal case of a foced plume a combinaion of iniial momenum and buoyancy fluxes ae esponsible fo ubulen mixing. Seveal echniques wee developed o sudy jes in confined spaces as will be explained lae. Laely, wih he incease of 4

5 compues efficiencies and capaciies, compuaional fluid dynamics (CFD) became one of he essenial ools o exploing on fluids behavio of such fundamenal impoance. In ubulen flows Reynolds Aveage Navie-Sokes echnique (RANS) ae usually adoped in ode o make he sysem amenable o soluion. The poblem of using RANS appoach, howeve, is ha ill now, hee is no unifying se of equaion o model all kinds of ubulen flows and hea ansfe scenaios. Theefoe, i is impoan o choose he model which suies he case unde invesigaion and even o calibae is coefficiens in ode o fi expeimenal esuls. El-Amin e al. [1] invesigaed he D upwad, axisymmeic ubulen confined je and developed seveal models o descibe flow paens using ealizable k ε ubulence model. Fuhemoe, CFD analysis of he flow sucue of a hoizonal wae je eneing a ecangula ank has been done by El-Amin e al. [, 3]. Thei findings wee lae used by Panhalookaan e al. [4] o calibae boh ealizable and RNG k ε ubulence models so ha hey may be used fo simulaing saified ho wae soage anks. Compehensive eviews of je flows wee pesened by Rajaanam [5] and Lis [6]. Fuhemoe seveal expeimenal woks wee conduced o highligh he ineesing paens and he govening paamees peinen o his kind of flows including he wok of Wygnanski and Fiedle [7], Rodi [8], Panchapakesan and Lumley [9-10], Fukushima e al. [11] Agawal e al. [1], O Hen e al. [19] and many ohes. On he ohe hand, seveal phenomena peinen o buoyan jes wee invesigaed by many auhos. Fo example, he poblem of enainmen by a plume o je a densiy ineface was consideed by Baines [13], mechanisms involved in ansiion o ubulence in buoyan plume flow was invesigaed by Kmua and Bejan [14], ound buoyan jes wee also invesigaed by Shabbi and Geoge [15], and Papanicolaou and Lis [16], bifucaion in a buoyan hoizonal lamina je was sudied by Aakei, e al. [17]. Wih espec o he kind of fluids used in buoyan je sudies, seveal eseaches have consideed diffeen fluids fo eihe expeimenal o numeical invesigaions. Fo example O Hen e al. [18] pefomed expeimenal wok on a ubulen buoyan helium plume. El-Amin and Kanayama [19, 0] sudied buoyan je esuling fom hydogen leakage. 5

6 They developed he similaiy fomulaion and soluions of he ceneline quaniies such as velociy and concenaion. Fuhemoe, El-Amin [1] inoduced a numeical invesigaion of a veical axisymmeic non-boussinesq buoyan je esuling fom hydogen leakage in ai as an example of injecing a low-densiy gas ino high-densiy ambien. On he ohe hand, he mechanics of buoyan je flows issuing wih a geneal hee-dimensional geomey ino an unbounded ambien envionmen wih unifom densiy o sable densiy saificaion and unde sagnan o seady sheaed cuen condiions is invesigaed by Jika []. He fomulaed an inegal model fo he consevaion of mass, momenum, buoyancy and scala quaniies in he ubulen je flow. Fuhemoe Jika [3] exended his wok o also encoune plane buoyan je dynamics esuling fom he ineacion of muliple buoyan je effluxes spaced along a diffuse line. In he pevious wok by El-Amin e al. [1], analyses of he componens of D axisymmeic veical unheaed/heaed ubulen confined je using ubulence ealizable k ε model wee conduced. Moeove expeimenal wok was elaboaed fo empeaue measuemens of such sysem o povide veificaion of he models used. In ha wok, seveal models wee consideed o descibe axial velociy, ceneline velociy, adial velociy, dynamic pessue, mass flux, momenum flux and buoyancy flux fo boh unheaed (non-buoyan) and heaed (buoyan) je. In ha wok inle empeaues wee consideed fixed. Howeve, in many applicaions inle empeaues ae no, geneally fixed. An expeimenal sudy of a saified hemal soage unde vaiable inle empeaue fo diffeen inle designs was pefomed by Abo-Hamdan e al. [5]. Fuhemoe, Yoo and Kim [4] inoduced appoximae analyical soluions fo saified hemal soage unde vaiable inle empeaue. In his wok, analysis of veical ho wae je eneing a cylindical ank filled wih cold wae wih vaiable inle empeaue is conduced. The inle empeaue of he buoyan je is allowed o change wihin a small ange and is consideed as a funcion of ime. Numeical invesigaions unde he above menioned condiions ae pefomed in ode o obain fields of pessue, velociy, 6

7 empeaue and ubulence. D axisymmeic simplificaion is assumed o educe he gid size in he soluion domain and he ealizable k ε model is used o model ubulen flow. Measuemens Schemaic diagam of he expeimenal seup is shown in Fig. 1. The cylindical ank, made of m hick galvanized ion shees, has a diamee of 0.36 m and a heigh of m is shown in Fig. a. The inle pipe is locaed a cene of he boom of he ank wih an inne diamee of 0.0 m. he inle pipe is inseed in he ank up o a heigh of 0.06 m above he base of he ank. The oule pipe, locaed a cene of he op of he ank, has an inne diamee of 0.0 m wih a deph in he ank of m fom he op plae. The unceainy in he diamee of he inle and oule pipes is ± m. This geomey suggess ha he ank, he inle, and he oule may be modeled as axisymmeic aound he veical axis. Themal effecs ae measued by hemocouples of K-ype which wee calibaed agains a sandad PT-5 esisance hemomee wih an aveage calibaion eo of ± 0.5 K. Flow ae is measued using a magneic-ype wih a calibaion eo ± 3.5%. The empeaue is ecoded in Kelvin using a daa acquisiion sysem conneced wih a pesonal compue. The daa acquisiion sysem has an eo abou ± 1K. The above esimaed eos ae included in he measued daa. Themal effecs ae measued by inseing a veical od wih 9 sainless seel sheahed K-ype hemocouples. The nine sensos ae disibued a diffeen heighs as, 0.06, 0.1, 0.18, 0.4, 0.30, 0.36, 0.4, 0.48 and 0.54 m measued fom he boom. The disance beween he symmey axis and he hemocouples od is 0.09 m, i.e. in he middle beween he symmey axis and he ank wall. The inle empeaue was measued using anohe hemocouple in which is locaed a he inle pipe. I is impoan o indicae ha all pecauions have been aken o make sue he geomeical symmey is achieved in he sense of he alignmen of he inle and oule ubes, he smoohness of ube maeials, he inle geomey, ec. 7

8 Fo he vaiable inle empeaue, he used paamees ae lised in Table 1. The duaion fo measuemens fo each case was appoximaely 30 min. The inle empeaue and he iniial empeaue ae given in column and 3 of he Table 1, especively, and he flow ae is given in column 4. The inle velociy, Reynolds numbe and ubulence inensiy a he inle nozzle ae calculaed fom he given daa. The bes fiing fo he given cuves of he inle vaiable empeaue, Fig. 3a, can be epesened by a 5 h ode polynomial as a funcion of ime, Eqs. (A.1-A.4) in he Appendix. The coesponding Reynolds numbes, Fig. 3b, and inle ubulence inensiy, Fig. 3c, ae calculaed as funcions of inle empeaue which in un have been epesened by 5 h ode polynomials of ime, Eqs. (A.5-A.8) and (A.9-A.1), especively, wih he aid of Eqs. (13)-(14). These funcions may be epesened by ohe polynomials wih less ode bu he deviaion fom he measued daa will incease. The following empiical elaion (Fluen Use s Guide, Fluen Inc. 003, ch. 6) is used o descibe he ubulen inensiy a he inle nozzle as a funcion of he Reynolds numbe: 0.15 I = 0.16 (13) 0 (Re) The Reynolds numbe wih he inle diamee as a lengh scale is defined by he elaion: u 0 d Re = (14) ν The measued empeaue pofiles fo vaiable inle empeaue ae ploed as a funcion of ime, a diffeen sensos posiions (cases 1-4) in Fig. 4 (a-d). I is appaen ha he empeaues along he veical axis vay in nonlinea fashion wih ime, especially, a lage heighs z 0.18 m (plume 8

9 9 egion). Also, he figues indicae ha he empeaue inceases as ime inceases. Themal saificaion is obseved looking a he diffeence in empeaue op (highe) o boom (lowe). The degee of saificaion, howeve, seems o be moe ponounced in he lowe half of he ank han in he op half. The saificaion is veified fom he beginning of he expeimen and coninues duing whole ime. Mahemaical Fomulaion A compaison sudy was done by El-Amin e al. [1] o es diffeen ubulence models when simulaing confined buoyan je, and hey epoed ha he bes model is he ealizable ε k model. Theefoe, in his wok we conside his model o simulae he poblem unde consideaion. The ealizable ε k model developed by Shih e al. [6] involves a new eddy-viscosiy fomula oiginally poposed by Reynolds [7] and a new model equaion fo dissipaion ε based on he dynamic equaion of he mean-squae voiciy flucuaions. The Reynolds-aveaged Navie-Sokes equaions (RANS) ae given in Eqs. () - (3), and he enegy equaion is epesened by Eq. (4). The govening equaions of mass, momenum and ubulence ake he fom: Coninuiy equaion: 0 ) ( 1 = v z u (1) Axial momenum equaion: z k T T g z v u z u z z p u v z u u u = 3 ) ( ) ( 1 ) ( 1 1 ) ( 0 β µ µ ρ µ µ ρ ρ () Radial momenum equaion:

10 10 k v z v u z p v v z v u v = ) ( 3 ) ( 1 ) ( 1 1 ) ( µ µ ρ µ µ ρ ρ (3) Enegy equaion: = T c z T c z T v z T u T p p ) P ( 1 ) P ( 1 ) ( µ λ ρ µ λ ρ (4) Tubulen kineic enegy (k) equaion: [ ] ρε ρ σ µ µ ρ σ µ µ ρ = b k k k G G k z k z k v z k u k 1 ) ( 1 ) ( 1 ) ( (5) Tubulence dissipaion ae (ε ) equaion: k G C C k C S C z z v z u b ε νε ε ε ε σ µ µ ρ ε σ µ µ ρ ε ε ε ε ε ε ε ) ( 1 ) ( 1 ) ( = (6) In he above equaions, u and v ae he mean axial and adial velociy componens, especively. The ohe quaniies ae ime,, densiy ρ, acceleaion due o gaviy, g, pessue, p, dynamic viscosiy, µ, kinemaics viscosiy, ν, hemal conduciviy, λ, ubulen Pandl numbe fo k, k σ, ubulen Pandl numbe foε, ε σ, T is he empeaue, 0 T is he efeence opeaing empeaue. The ubulence dissipaion ae is denoed byε, while k is he ubulen kineic enegy of he ubulen flucuaions pe uni mass. The ubulen viscosiy µ is defined as: ε ρ µ µ / k C = (7) whee µ C is coefficien, which is a new vaiable defined in he ealizable ε k model and given by he elaion:

11 Cµ = ε /( A 0 ε As ks ) (8) whee A = 4.04, (9) 0 A = 6 1/ cos θ, (10) s 1 θ = (1/ 3)cos (6 1/ S ), (11) ( v / z u ) S = 0.5 / (1) The eddy viscosiy fomulaion is based on he ealizabiliy consains, he posiiviy of he nomal sess and Schwaz inequaliy fo ubulen shea sesses. Fuhemoe, in Eq. (0), C 1 defined by he fom: and C = max[0.43, Sk /( Sk 5 )] (13) 1 ε G k = µ S (14) is he geneaion of ubulen kineic enegy due o he mean velociy gadien. C 3 ε = anh u / v (15) The velociy componen u paallel o he gaviaional veco and v is he componen of he velociy pependicula o he gaviaional veco. In his way, C 1 fo buoyan shea layes fo which he main flow diecion is aligned wih he diecion of gaviy (he case unde sudy). Fo buoyan shea 3 ε = layes ha ae pependicula o he gaviaional veco, C 0. 3 ε = The geneaion of ubulence due o buoyancy is given by he elaion: G b µ T = β g (16) P z 11

12 P is he ubulen Pandl numbe fo enegy and β is he hemal expansion coefficien. The model consans of he k ε model ae esablished o ensue ha he model pefoms well fo ceain canonical flows such as pipe flow, je flow, and bounday laye flow. C 1 ε = 1.44, C =1.9, σ k =1. 0, σ = 1. and P = ε. Shih e al. [6] have compaed hei model (ealizable k ε ubulence model) wih expeimenal daa as well as wih he sandad k ε model fo a ound je flow and ohe flows. The compaison shows a good maching beween hei model and he expeimenal daa han he sandad model. The ealizable k ε model implies ha he model saisfies specific consains on he Reynolds s sesses ha make he model moe consisen wih he physics of ubulen flows and hence moe accuae han he ohe ubulen model. This model conains a new anspo equaion fo he ubulen dissipaion ae. Also, a ciical coefficien of he model, C µ, is expessed as a funcion of mean flow and ubulence popeies, ahe han assumed o be consan as in he sandad model. This allows he model o saisfy ceain mahemaical consains on he nomal sesses consisen wih he physics of ubulence (ealizabiliy). Addiionally, he ealizable k ε model uses diffeen souces and sinks ems in he anspo eddy dissipaion. The modified pedicion of ε along wih he modified calculaion of µ, makes his model supeio o he ohe k ε models. Fo he je flow his model does bee in pedicing he speading ae especially, fo nea egion z<0.35 (see El-Amin e al. [1]). Bounday condiions need o be specified on all sufaces of he compuaional domain. Boundaies pesened in his sudy include inflow (Inle), ouflow (oule), solid wall and axis of symmey as shown in Fig. b. Ω, Ω and Ω wall denoe he bounday of he inle, oule and wall, in ou 1

13 especively. In addiion o he non-ealisic bounday on he axis of symmey Ω axis. The velociyinle bounday condiions imposed a he nozzle ae, u = u on 0, v = 0, and T = T in Ωin (17) T in is defined in Eq. (A.1-A.4) fo he cases of vaiable inle empeaue. Due o he sagnan condiions of wae inside he ank befoe he beginning of he influx, all velociy componens wee iniially se o zeo. Hea ansfe hough he walls of he ank is no aken ino consideaion (adiabaic walls). Densiy of wae, specific hea, hemal conduciviy and viscosiy ae fomulaed as a piecewise-linea pofile of empeaue. The ubulence inensiy and hydaulic diamee chaaceizes he ubulence a he inle bounday. The following equaion of empiical coelaion fo pipe flows is used o descibe he ubulence inensiy a he inle bounday as a funcion of he Reynolds numbe, 0.15 I 0 = 0.16(Re) on Ω in (18) Alenaively, one can use he following k and ε on he inle bounday as (see Kadem e al. [8]), k ( 0.3( / ) ) 3 / = kin = 0.005u0, ε = ε in = kin / d on (19) Ωin whee d is nozzle diamee. 13

14 The bounday condiion on he axis of symmey is epesened by fee-slip condiion which is a non-ealisic wall wih no-ficion when velociy and ohe componens nea he wall ae no eaded. Unlike he no-slip bounday condiion fo which flow has zeo velociy in he wall, fee-slip flow is angen o he suface. On he axis of symmey, he adial velociy componen v, and he gadien of he ohe dependen vaiables (u, ε, k, T) wee equal o zeo. So, one may wie hem as, u = 0, v = 0, T = 0, k = 0, ε = 0 on Ω axis (0) Solid wall bounday condiions ae epesened along he solid walls; he no-slip bounday condiion fo velociies, zeo value fo ubulen kineic enegy, and zeo gadiens fo empeaue and enegy dissipaion ae wee used. T ε u = 0, v = 0, on Ω wall, = 0, k = 0, = 0, on n n 1 1 Ω wall (1) whee n 1 is he ouwad nomal of he wall. Finally, he oule bounday which wae dischaged ouside i feely, can be fomulaed as, u n = 0, v n = 0, T n = 0, k n = 0, ε = 0 n on Ω ou () whee n is he ouwad nomal of he oule bounday. 14

15 Also, saic pessue can be defined a a known given poin in he domain and Fluen exapolaes all ohe condiions fom he ineio of he domain. Iniial condiions ae descibed as follows, u = 0, v = 0, T = T0, k = 0, ε = 0 a = 0 (3) In fac, vey small values ae given as iniial condiions fo k and ε insead of zeo which only speed up convegence of he soluion. Numeical Invesigaions Fig. b shows he compuaional domain wih dimensions of: adius=0.18 m and heigh=0.605 m. The adius of he inle and oule pipes is 0.01 m, while he inle heigh inside he ank is 0.06 m and he oule deph in he ank is m. The meshes ae buil up of Quadaic Submap cells. The numbe of gid elemens used fo all calculaions is 7,984. Fluen 6.1 and he gid geneaion ool Gambi [9] ae used o model he flow in he ank by solving he coninuiy, momenum, ubulence and enegy equaions. In ode o pove gid independence, numeical expeimen fo case 4, is epeaed on he sysemaically efined gids of sizes 7,984 (gid-1), 9,40 (gid-), 1,880 (gid-3) and 3,560 (gid-4) quadilaeal cells, especively. The minimum disances beween he nodes in he especive gids ae m, 0.00 m, m and m and he maximum disances beween he nodes ae m, m, m and m especively in he ode of efinemen. Figs. 5 (a, b) show he esuls of he gid efinemen sudies fo he axial velociy and Tempeaue, especively. The maximum deviaion caused by gid is abou 3 % fo he velociy, and 0.14 % fo he empeaue which could be negligible. 15

16 In ode o achieve convegence, Unde-Relaxaion is applied on pessue, velociies, enegy, ubulen viscosiy, ubulence kineic enegy and ubulen dissipaion ae calculaions. Body Foce Weighed Disceizaion is used fo pessue and he velociy-pessue coupling is eaed using he SIMPLE algoihm. A Second-Ode Upwind scheme is used in he equaions of momenum, enegy, ubulence kineic enegy and ubulence dissipaion ae. Segegaed Implici Solve wih he Implici Second-Ode scheme is used. In ode o use a suiable ime sep, we pefomed a compaison fo one case wih diffeen ime seps as 0.01, 0.1, 0.5 and 1 s which ae shown in Table. This compaison includes empeaue, axial velociy, ubulen kineic enegy and ubulen dissipaion ae of kineic enegy. Fom his able one can noe ha he diffeences ae negligible values. Then, o educe he ime of calculaion we have o use he ime sep of 1 sec. Compaisons Boh measued and simulaed empeaues as a funcion of he ank heigh fo vaious imes and vaiable inle empeaues (cases 1-4) ae ploed in Figs. 6 (a-d), especively. Good ageemen beween he expeimenal and numeical daa is obseved. The maximum eo obseved is 0.35 K, howeve, fo cases 1,, 3 and 4 he maximum eo is 0., 0., 0.35 and 0.35 K, especively, occus afe 30 min of chaging pocess. Axial and Radial Velociies The mean posiive axial velociy u (excluding he efleced velociy wih he negaive values) is nomalized by he ceneline velociy u c agains /cz ( nomalized by he je widh b=cz, c is he laeal spead ae of he je) wih diffeen heighs, fo he case 4 a 15 min, is ploed in Fig. 7. I can be seen fom his figue ha axial velociy pofile shows self-simila behavio. Theefoe, axial 16

17 velociy may be epesened by a Gaussian disibuion using ceneline velociy, u c, heigh, z, and widh, b, as paamees. The Gaussian funcion akes he fom: u = u exp (4) c b This empiical model is ploed in Fig. 8 wih compaison wih he simulaed axial velociy. In his sudy, he paamee of laeal spead ae of he je c=0.11 which lies in he ange of he sandad values as epoed by Fische e al. [30]. One can noe a elaively lage eo a small velociies a he boh ends of he bell-shape cuve. Using axial velociy definiion, Eq. (4), ceneline axial velociy (velociy a he axis of symmey) can be given as: u c = u A /( z ) 0 (5a) 0 u z such ha u c = u( 0). Alenaively, he ceneline velociy may be wien in he fom: u c = u B d /( z ) 0, (5b) 0 u z o be compaable wih he common fomula of he ceneline velociy given in lieaue. I is noable ha Au = Bud, B u specifies he decay ae of he ime aveaged ceneline velociy. Dimensional agumens ogehe wih expeimenal obsevaions sugges ha he mean flow vaiables, which ae known as similaiy soluions, ae confoming wih Eqs. (5) (Fishe e al. [30], Hussein e al. [31], and Shabbi and Geoge [3]). The coninuiy equaion, Eq. (1), fo he imeaveaged velociies can be solved by subsiuing he axial velociy fom ino Eq. (1) o obain he coss-seam adial velociy in he fom: v uc c 5 5 = exp( η ) η exp( η ) η 6 6 (6) 17

18 whee, η = b( z) = / c( z z ) / 0 Dynamic Pessue The dynamic pessue behaves simila o he axial velociy bu of couse i is scala quaniy such ha we do no see negaive beaks of he cuve. The dynamic pessue can be defined accoding o he equaion: ( u v ) 1 P d = ρ (7) A inle u, v) = ( u,0), heefoe, P ( = ρ u 0 is he je nozzle dynamic pessue. On he ohe hand, one can model he simulaed dynamic pessue by he elaion: P = P exp (8a) d c h z o P = P exp (8b) d c b whee P c is he ceneline dynamic pessue, and h = c/. Figue 9 illusaes a compaison beween he simulaed dynamic pessue and is Gaussian fiing using Eq. (8) as a funcion of fo diffeen posiions of z of he unheaed je a =5 min (case 4). This figue shows a good maching fo his Gaussian disibuion of he dynamic pessue. Seleced Simulaed Resuls In Fig. 10 empeaue pofiles ae ploed agains z a diffeen imes. One may noice elaively highe empeaues close o he inle up o, appoximaely, z 0. 1 m, and hen i 18

19 deceases as z inceases. As he ime poceeds, he empeaue close o he inle deceases as shown in he figue while i inceases fuhe away. The ubulence inensiy as a funcion of he axis of symmey z fo vaious imes is shown in Fig. 11. The ubulence inensiy is defined as he aio of he oo-mean-squae of he ubulen velociy flucuaions and he mean velociy. Appaenly close o he inle velociy flucuaions inceases due o he impingemen of he je in he elaively quiescen fluid in he ank. Howeve, away fom he inle he inensiy of ubulence deceases because of he decease in velociy as he je speads laeally as manifesed in Fig. 1. Fo z m he ubulence inensiy is he same duing all ime duaion, while fo z > m he ubulence inensiy deceases wih ime. I is ineesing o noe ha inside he oule pipe he ubulence inensiy inceases as manifesed by he shap incease in ubulence inensiy owads he oule pipe as a esul of he influence of pipe wall. The velociy magniude as a funcion of adial axis disance,, a diffeen posiions of z a =10 min is ploed in Fig. 1. The velociy magniude in boom pa of he ank is lage close o he axis of symmey while i has smalle values fa fom i (i.e., as inceases). As z inceases velociy magniude deceases close o axis of symmey z while i inceases as inceases. This behavio may be explained by he fac ha he je leaves he inle wih a highe velociy and dispeses laeally as i moves fa fom he souce. Figue 13 shows empeaue as a funcion of fo vaious values of z a =10 min. A he boom of he ank (i.e., small z), he empeaue is highe close o he symmey axis and i is shaply deceases fa fom i (i.e., as inceases). Theefoe, as z inceases and he je dispeses moe laeally, he empeaue close o he axis of symmey deceases while inceasing as inceases. Je Richadson Numbe Richadson numbe is defined as a aio of he buoyancy and he ineia foces. Bu fo moe convenience we will define he Richadson numbe accoding o he local ceneline velociy. 19

20 Richadson numbe is calculaed using buoyancy-elaed ems (densiy diffeence) and he velociy a he same poin. In je flows, Richadson numbe akes he fom, [30]: π R = 1/ gδρ d 4 u c 1/ (9) Richadson numbe is ploed in Fig. 14 agains he heigh z, a diffeen imes fo Case 3. Fom his figue i can be seen ha Richadson numbe is educed in he egion close o he nozzle inle, and hen i inceases wih he heigh. In he boom pa he ineia effec dominaes he buoyancy effec (je-like zone), heefoe Richadson numbe deceases. In he op pa of he ank, on he ohe hand, he buoyancy effec dominaes he ineia (plume-like zone) as manifesed by he incease of Richadson numbe. Also, in his zone Richadson numbe inceases wih ime because empeaue inceases wih ime and enhances he buoyancy while i deceases close o he inle as he inle empeaue is se o decease. In ode o examine he effec of vaying he inle empeaue on Richadson numbe we pefom hee numeical expeimens, one of hem wih consan inle empeaue, and wo wih monoony inceasing and monoony deceasing inle empeaue, especively. The inle empeaues fo hese numeical expeimens ae defined as: T = K, fo he consan inle empeaue, in T in = , fo he monoone inceasing inle empeaue, T in = , fo he monoone deceasing inle empeaue, whee, 1 30 min, fo monoone inceasing inle empeaue, T and fo monoone deceasing inle empeaue, T in Figue 15 shows Richadson numbe fo he case of consan inle empeaue. Fom his figue i can be seen ha Richadson numbe behavio is simila fo all imes close o he inle (i.e., in he je-like egion). In he plume-like egion Richadson numbe inceases wih ime because of he in 0

21 incease in empeaue. Figues 16 and 17 illusae Richadson numbe fo he monoone inceasing and monoone deceasing inle empeaue, especively. One can noice ha Richadson numbe in he plume-like egion in he case of monoone inceasing inle empeaue inceases wih ime as a manifesaion of he inceased buoyancy, Fig. 16. On he ohe hand, fo he monoone deceasing inle empeaue, Fig.17, Richadson numbe deceases in he Je-like egion as a manifesaion of he deceased empeaue. Conclusions This wok is devoed o invesigae he poblem of non-unifom inle empeaue of buoyan je. An analysis fo veical ho wae jes eneing a cylindical ank filled wih cold wae unde he condiion of vaiable inle empeaue is inoduced. The vaiable inle empeaue is consideed as a funcion of ime of chaging pocess. Expeimenal measuemens ae pefomed fo he diffeen cases in sequenial ime seps fo boh consan and vaiable inle empeaue. Numeical invesigaions unde he above menioned condiions ae pefomed. The ealizable k ε ubulence model is used o simulae ubulen flow fo his poblem. Compaisons beween he measued and simulaed empeaue show good ageemens. Seleced empiical Gaussian model wih sandad paamees ae used o epesen he simulaed esuls. Seleced simulaed quaniies such as velociy magniude, empeaue and ubulence inensiy ae invesigaed. The esuls indicae ha empeaue vaies, appoximaely, linealy wih ime fo he consan inle empeaue cases, while, i seems o be, appoximaely, polynomial o logaihms funcions of ime fo he vaiable inle empeaue, especially, fo plume egion. Also, hemal saificaion exis; howeve hemal layes in op pa of he ank hinne han hem in he boom pa. The saificaion is veified fom he beginning of expeimen and coninues duing whole ime. 1

22 Acknowledgemen The fis auho would like o hank he Alexande von Humbold (AvH) Foundaion, Gemany fo funding his fellowship and fo suppoing of his eseach pojec. Refeences: 1. El-Amin MF, Sun S, Heidemann W, Mülle-Seinhagen H (010) Analysis of a ubulen buoyan confined je modeled using ealizable k ε model. Hea Mass Tansfe, 46(8): El-Amin MF, Heidemann W, Mülle-Seinhagen H (005) Tubulen je flow ino a wae soe. Poc. Hea Tansfe in Componens and Sysems fo Susainable Enegy Technologies, 5-7 Apil 005, Genoble, Fance, El-Amin MF, Heidemann W, Mülle-Seinhagen H (004) Unseady buoyancy-induced and ubulen flow fom a ho hoizonal je enance ino a sola wae soage. WSEAS In. Conf. Hea and Mass Tansfe (HMT 004), Cofu Island, Geece, Aug , Panhalookaan V, El-Amin MF, Heidemann W, Mülle-Seinhagen H (008) Calibaed models fo simulaion of saified ho wae hea soes. In. J. Enegy Res. 3: Rajaanam N (1976) Tubulen jes. Elsevie Science, New Yok 6. Lis EJ (198) Tubulen jes and plumes. Annu Rev Fluid Mech 14: Wygnanski I, Fiedle H (1969) Some measuemens in a self-peseving je. J Fluid Mech 38: Rodi W (1975) A new mehod of analyzing ho-wie signals in highly ubulen flow and is evaluaion in a ound je. DISA Infomaion 17, Febuay Panchapakesan NR, Lumley JL (1993) Tubulence measuemens in axisymmeic jes of ai and helium. Pa 1. Ai je. J Fluid Mech 46:197 3

23 10. Panchapakesan NR, Lumley JL (1993) Tubulence measuemens in axisymmeic jes of ai and helium. Pa. Helium je. J Fluid Mech 46: Fukushima C, Aanen L, Weseweel J (000) Invesigaion of he mixing pocess in an axisymmeic ubulen je using PIV and LIF. 10h Inenaional symposium on applicaions of lase echniques o fluid mechanics, July, Lisbon, Pougal 1. Agawal A, Pasad AK (003) Inegal soluion fo he mean flow pofiles of ubulen jes, plumes, and wakes. ASME J Fluids Eng 15: Baines WD (1975) Enainmen by a plume o je a a densiy ineface. J Fluid Mech 68(): Kmua S, Bejan A (1983) Mechanism fo ansiion o ubulence in buoyan plume flow. In J Hea Mass Tansf 6: Shabbi A, Geoge K (1994) Expeimens on a ound ubulen buoyan plume. J Fluid Mech 15: Papanicolaou PN, Lis EJ (1988) Invesigaions of ound veical ubulen buoyan jes. J Fluid Mech 195: Aakei JH, Das D, Sinivasan J (000) Bifucaion in a buoyan hoizonal lamina je. J Fluid Mech 41: O Hen TJ, Weckman EJ, Geha AL, Tieszen SR, Scefe RW (005) Expeimenal sudy of a ubulen buoyan helium plume. J Fluid Mech 544: El-Amin MF, Kanayama H (009) Inegal soluions fo seleced ubulen quaniies of smallscale hydogen leakage: a non-buoyan je o momenum-dominaed buoyan je egime. In J Hydogen Enegy 34: El-Amin MF, Kanayama H (009) Similaiy consideaion of he buoyan je esuling fom hydogen leakage. In J Hydogen Enegy 34:

24 1. El-Amin MF (009) Non-Boussinesq ubulen buoyan je esuling fom hydogen leakage in ai. In J Hydogen Enegy 34: Jika GH (004) Inegal model fo ubulen buoyan jes in unbounded saified flows. Pa 1: single ound je. Envion Fluid Mech 4: Jika GH (006) Inegal model fo ubulen buoyan jes in unbounded saified flows. Pa : plane je dynamics esuling fom mulipo diffuse jes. Envion Fluid Mech 6: Yoo H, Kim CJ, Kim CW (1999) Appoximae analyical soluions fo saified hemal soage unde vaiable inle empeaue. Sola Enegy 66: Abo-Hamdan MG, Zuiga YH, and Ghaja, AJ (199) An expeimenal sudy of a saified hemal soage unde vaiable inle empeaue fo diffeen inle designs. In. J. Hea Mass Tansfe 35: Shih TH, Liou WW, Shabbi A, Yang Z, Zhu J (1995) A new k ε eddy-viscosiy model fo high Reynolds numbe ubulen flows-model developmen and validaion. Compu Fluids 4(3): Reynolds WC (1987) Fundamenals of ubulence fo ubulence modeling and simulaion. Lecue noes fo Von Kaman insiue, Agad Repo No Kadem K, Maaoui A, Salem A, Younsi R (007) Numeical simulaion of hea ansfe in an axisymmeic ubulen je impinging on a fla plae. Adv Model Opim 9(): Fluen 6.1 (003) Use s Guide, Fluen Inc. 30. Fische HB, Lis EJ, Koh RCY, Imbege J, Books NH (1979) Mixing in inland and coasal waes. Academic Pess, San Diego 31. Hussein JH, Capp SP, Geoge WK (1994) Velociy measuemens in a high-reynolds-numbe, momenum-conseving, axisymmeic, ubulen je. J Fluid Mech 58: Shabbi A, Geoge K (1994) Expeimens on a ound ubulen buoyan plume. J Fluid Mech 15:1 3 4

25 Appendix: The inle vaiable empeaue may be given as a funcion of ime fo each case as follows: T6 ( ) = (A.1) T7 ( ) = (A.) T8 ( ) = (A.3) T9 ( ) = (A.4) These polynomials ae ploed in Fig. 3a. The anges of vaiaion of he inle empeaue ae: T6 ( ) T7 ( ) T8 ( ) T9 ( ) K K K K The coesponding Reynolds numbes ae: Re 6 ( ) = (A.5) Re 7 ( ) = (A.6) Re 8 ( ) = (A.7) Re 9 ( ) = (A.8) 5

26 These polynomials ae shown in Fig. 3b. The anges of vaiaion of he Reynolds numbes ae: 144 Re 6 ( ) Re 7 ( ) Re8 ( ) Re9 ( ) 711 Also, he nozzle inle ubulence inensiy can be epesened in a polynomial fom of ime: I ( ) = (A.9) I ( ) = (A.10) I ( ) = (A.11) I ( ) = (A.1) These pofiles ae illusaed in Fig. 3c. The anges of vaiaion of he inle ubulence inensiies ae: I 06( ) I 07 ( ) I 08( ) I 09( )

27 Table Capions Table 1: Summay of he expeimenal daa wih vaiable inle empeaue Table : Time sep compaison of empeaue, axial velociy, ubulen kineic enegy and ubulen dissipaion ae of kineic enegy, fo case 4 7

28 Figue Capions Fig. 1: Schemaic diagam of he expeimenal seup. Fig. (a, b): Schemaic epesenaion of he calculaion domain. Fig. 3 (a, b, c): Vaiable inle (a) empeaue, (b) Reynolds numbe and (c) ubulence inensiy as a funcion of ime fo cases 1-4. Fig. 4 (a, b, c, d): Pofiles of measued empeaue as a funcion of ime, a diffeen sensos posiions, fo vaiable inle empeaue, cases 1-4. Fig. 5 (a, b): Gid independence es by (a) axial velociy, and (b) empeaue. Fig. 6 (a, b, c, d): Compaison beween measued and simulaed empeaue as funcion of ank heigh fo vaiable inle empeaue (cases 1-4). Fig. 7: Nomalized axial velociy as a funcion of /cz a diffeen posiions of z of case 4 a =15 min. Fig. 8: Compaison beween simulaed and empiical Gaussian model of axial velociy as a funcion of fo diffeen posiions of z of he case 4 a =15 min. Fig. 9: Compaison beween he simulaed dynamic pessue and is Gaussian fiing as a funcion of fo diffeen posiions of z of he case 4 a =15 min. Fig. 10: Tempeaue as a funcion of he axis of symmey z(=0) wih vaies imes, case 1. Fig. 11: Tubulence inensiy as a funcion of he axis of symmey z(=0) wih vaies imes, case 1. Fig. 1: Velociy magniude as a funcion of wih vaies values of z a =10 min, case 3. Fig. 13: Tempeaue as a funcion of wih vaies values of z a =10 min, case 3. Fig. 14: Richadson numbe as a funcion of he heigh z, a diffeen imes, fo case 3. Fig. 15: Richadson numbe as a funcion of he heigh z, a diffeen imes, wih consan inle empeaue. Fig. 16: Richadson numbe as a funcion of he heigh z, a diffeen imes, wih monoone inceasing inle empeaue. 8

29 Fig. 17: Richadson numbe as a funcion of he heigh z, a diffeen imes, wih monoone deceasing inle empeaue. 9

30 Table 1: Case Inle Iniial Flow ae Inle Re [-] Tubulence empeaue empeaue [m 3 /s] velociy inensiy [%] [K] [K] [m/s] 1 T ( ) Re 6 ( ) I ( ) 6 T ( ) Re 7 ( ) I ( ) 7 3 T ( ) Re 8 ( ) I ( ) 8 4 T ( ) Re 9 ( ) I ( ) Table : Δ 0.01 s 0.1 s 0.5 s 1 s T u k ε 1.33E E E E-05 30

31 Themocouples Daa acquisiion sysem Oule Pump Tank Heae Inle Flow- mee Fig. 1 31

32 0.18m 0.055m 0.09m Oule Tank Top 0.605m S9 0.56m S8 0.48m S7 0.4m Axis of Symmey S6 S5 S4 0.36m 0.30m 0.4m g Senso Seies S3 S 0.18m 0.1m 0.06m Inle S10 S1 0.06m 0.00m Tank Boom Fig. a 3

33 Wall z-axis Oule Wall z-axisymmey (ceneline) Inle -axis Wall Fig. b 33

34 Tin [K] Time [min] Fig. 3a Case 1 Case Case 3 Case 4 34

35 Re() [-] Case 1 Case Case 3 Case Time [min] Fig. 3b 35

36 I0() [-] Case 1 Case Case 3 Case Time [min] Fig. 3c 36

37 Fig. 4a 37

38 Fig. 4b 38

39 Fig. 4c 39

40 Fig. 4d 40

41 u [m/s] [m] Fig. 5a gid-1 gid- gid-3 gid-4 41

42 Tempeaue [K] gid-1 gid- gid-3 gid [m] Fig. 5b 4

43 Fig. 6a 43

44 Fig. 6b 44

45 Fig. 6c 45

46 Fig. 6d 46

47 Fig. 7 47

48 Fig. 8 48

49 Fig. 9 49

50 Fig

51 Fig

52 Velociy Magniude[m/s] [m] Fig. 1 z=0.0 m z=0.35 m z=0.50 m 5

53 Tempeaue[K] z=0.0 m z=0.35 m z=0.50 m [m] Fig

54 Fig

55 Richadson Numbe_R [-] =5 min =10 min =0 min =30 min z [m] Fig

56 Richadson Numbe_R [-] =5 min =10 min =0 min =30 min z [m] Fig

57 Richadson Numbe_R [-] =5 min =10 min =0 min =30 min z [m] Fig

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation Lecue 8: Kineics of Phase Gowh in a Two-componen Sysem: geneal kineics analysis based on he dilue-soluion appoximaion Today s opics: In he las Lecues, we leaned hee diffeen ways o descibe he diffusion

More information

Lecture 17: Kinetics of Phase Growth in a Two-component System:

Lecture 17: Kinetics of Phase Growth in a Two-component System: Lecue 17: Kineics of Phase Gowh in a Two-componen Sysem: descipion of diffusion flux acoss he α/ ineface Today s opics Majo asks of oday s Lecue: how o deive he diffusion flux of aoms. Once an incipien

More information

The sudden release of a large amount of energy E into a background fluid of density

The sudden release of a large amount of energy E into a background fluid of density 10 Poin explosion The sudden elease of a lage amoun of enegy E ino a backgound fluid of densiy ceaes a song explosion, chaaceized by a song shock wave (a blas wave ) emanaing fom he poin whee he enegy

More information

Monochromatic Wave over One and Two Bars

Monochromatic Wave over One and Two Bars Applied Mahemaical Sciences, Vol. 8, 204, no. 6, 307-3025 HIKARI Ld, www.m-hikai.com hp://dx.doi.og/0.2988/ams.204.44245 Monochomaic Wave ove One and Two Bas L.H. Wiyano Faculy of Mahemaics and Naual Sciences,

More information

Computer Propagation Analysis Tools

Computer Propagation Analysis Tools Compue Popagaion Analysis Tools. Compue Popagaion Analysis Tools Inoducion By now you ae pobably geing he idea ha pedicing eceived signal sengh is a eally impoan as in he design of a wieless communicaion

More information

r P + '% 2 r v(r) End pressures P 1 (high) and P 2 (low) P 1 , which must be independent of z, so # dz dz = P 2 " P 1 = " #P L L,

r P + '% 2 r v(r) End pressures P 1 (high) and P 2 (low) P 1 , which must be independent of z, so # dz dz = P 2  P 1 =  #P L L, Lecue 36 Pipe Flow and Low-eynolds numbe hydodynamics 36.1 eading fo Lecues 34-35: PKT Chape 12. Will y fo Monday?: new daa shee and daf fomula shee fo final exam. Ou saing poin fo hydodynamics ae wo equaions:

More information

WORK POWER AND ENERGY Consevaive foce a) A foce is said o be consevaive if he wok done by i is independen of pah followed by he body b) Wok done by a consevaive foce fo a closed pah is zeo c) Wok done

More information

On Control Problem Described by Infinite System of First-Order Differential Equations

On Control Problem Described by Infinite System of First-Order Differential Equations Ausalian Jounal of Basic and Applied Sciences 5(): 736-74 ISS 99-878 On Conol Poblem Descibed by Infinie Sysem of Fis-Ode Diffeenial Equaions Gafujan Ibagimov and Abbas Badaaya J'afau Insiue fo Mahemaical

More information

KINEMATICS OF RIGID BODIES

KINEMATICS OF RIGID BODIES KINEMTICS OF RIGID ODIES In igid body kinemaics, we use he elaionships govening he displacemen, velociy and acceleaion, bu mus also accoun fo he oaional moion of he body. Descipion of he moion of igid

More information

An Automatic Door Sensor Using Image Processing

An Automatic Door Sensor Using Image Processing An Auomaic Doo Senso Using Image Pocessing Depamen o Elecical and Eleconic Engineeing Faculy o Engineeing Tooi Univesiy MENDEL 2004 -Insiue o Auomaion and Compue Science- in BRNO CZECH REPUBLIC 1. Inoducion

More information

A New Mathematical Approach to the Turbulence Closure Problem

A New Mathematical Approach to the Turbulence Closure Problem Ameican Jounal of Fluid Dynamics 6, 6(: 7-4 DOI: 93/j.ajfd.66 A New Mahemaical Appoach o he Tubulence Closue Poblem Mohammed A. Azim Depamen of Mechanical Engineeing, Bangladesh Univesiy of Engineeing

More information

Fluid Flow and Heat Transfer Characteristics across an Internally Heated Finned Duct

Fluid Flow and Heat Transfer Characteristics across an Internally Heated Finned Duct J. Enegy Powe Souces ol. No. 6 4 pp. 96-33 ceived: Augus 3 4 Published: Decembe 3 4 Jounal of Enegy and Powe Souces www.ehanpublishing.com Fluid Flow and ea ansfe Chaaceisics acoss an Inenally eaed Finned

More information

PHYS PRACTICE EXAM 2

PHYS PRACTICE EXAM 2 PHYS 1800 PRACTICE EXAM Pa I Muliple Choice Quesions [ ps each] Diecions: Cicle he one alenaive ha bes complees he saemen o answes he quesion. Unless ohewise saed, assume ideal condiions (no ai esisance,

More information

Orthotropic Materials

Orthotropic Materials Kapiel 2 Ohoopic Maeials 2. Elasic Sain maix Elasic sains ae elaed o sesses by Hooke's law, as saed below. The sesssain elaionship is in each maeial poin fomulaed in he local caesian coodinae sysem. ε

More information

Lecture 22 Electromagnetic Waves

Lecture 22 Electromagnetic Waves Lecue Elecomagneic Waves Pogam: 1. Enegy caied by he wave (Poyning veco).. Maxwell s equaions and Bounday condiions a inefaces. 3. Maeials boundaies: eflecion and efacion. Snell s Law. Quesions you should

More information

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations Today - Lecue 13 Today s lecue coninue wih oaions, oque, Noe ha chapes 11, 1, 13 all inole oaions slide 1 eiew Roaions Chapes 11 & 1 Viewed fom aboe (+z) Roaional, o angula elociy, gies angenial elociy

More information

Two-dimensional Effects on the CSR Interaction Forces for an Energy-Chirped Bunch. Rui Li, J. Bisognano, R. Legg, and R. Bosch

Two-dimensional Effects on the CSR Interaction Forces for an Energy-Chirped Bunch. Rui Li, J. Bisognano, R. Legg, and R. Bosch Two-dimensional Effecs on he CS Ineacion Foces fo an Enegy-Chiped Bunch ui Li, J. Bisognano,. Legg, and. Bosch Ouline 1. Inoducion 2. Pevious 1D and 2D esuls fo Effecive CS Foce 3. Bunch Disibuion Vaiaion

More information

, on the power of the transmitter P t fed to it, and on the distance R between the antenna and the observation point as. r r t

, on the power of the transmitter P t fed to it, and on the distance R between the antenna and the observation point as. r r t Lecue 6: Fiis Tansmission Equaion and Rada Range Equaion (Fiis equaion. Maximum ange of a wieless link. Rada coss secion. Rada equaion. Maximum ange of a ada. 1. Fiis ansmission equaion Fiis ansmission

More information

Q & Particle-Gas Multiphase Flow. Particle-Gas Interaction. Particle-Particle Interaction. Two-way coupling fluid particle. Mass. Momentum.

Q & Particle-Gas Multiphase Flow. Particle-Gas Interaction. Particle-Particle Interaction. Two-way coupling fluid particle. Mass. Momentum. Paicle-Gas Muliphase Flow Fluid Mass Momenum Enegy Paicles Q & m& F D Paicle-Gas Ineacion Concenaion highe dilue One-way coupling fluid paicle Two-way coupling fluid paicle Concenaion highe Paicle-Paicle

More information

The Production of Polarization

The Production of Polarization Physics 36: Waves Lecue 13 3/31/211 The Poducion of Polaizaion Today we will alk abou he poducion of polaized ligh. We aleady inoduced he concep of he polaizaion of ligh, a ansvese EM wave. To biefly eview

More information

Low-complexity Algorithms for MIMO Multiplexing Systems

Low-complexity Algorithms for MIMO Multiplexing Systems Low-complexiy Algoihms fo MIMO Muliplexing Sysems Ouline Inoducion QRD-M M algoihm Algoihm I: : o educe he numbe of suviving pahs. Algoihm II: : o educe he numbe of candidaes fo each ansmied signal. :

More information

7 Wave Equation in Higher Dimensions

7 Wave Equation in Higher Dimensions 7 Wave Equaion in Highe Dimensions We now conside he iniial-value poblem fo he wave equaion in n dimensions, u c u x R n u(x, φ(x u (x, ψ(x whee u n i u x i x i. (7. 7. Mehod of Spheical Means Ref: Evans,

More information

STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE WEIBULL DISTRIBUTION

STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE WEIBULL DISTRIBUTION Inenaional Jounal of Science, Technology & Managemen Volume No 04, Special Issue No. 0, Mach 205 ISSN (online): 2394-537 STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE

More information

The k-filtering Applied to Wave Electric and Magnetic Field Measurements from Cluster

The k-filtering Applied to Wave Electric and Magnetic Field Measurements from Cluster The -fileing pplied o Wave lecic and Magneic Field Measuemens fom Cluse Jean-Louis PINÇON and ndes TJULIN LPC-CNRS 3 av. de la Recheche Scienifique 4507 Oléans Fance jlpincon@cns-oleans.f OUTLINS The -fileing

More information

MATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH

MATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH Fundamenal Jounal of Mahemaical Phsics Vol 3 Issue 013 Pages 55-6 Published online a hp://wwwfdincom/ MATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH Univesias

More information

Theoretical background and the flow fields in downhole liquid-liquid hydrocyclone (LLHC)

Theoretical background and the flow fields in downhole liquid-liquid hydrocyclone (LLHC) AEC Web of Confeences 13, 3 (14) DO: 1.151/ maecconf/ 1413 3 C Owned by he auhos, published by EDP Sciences, 14 heoeical backgound and he flow fields in downhole liquid-liquid hydocyclone (LLHC) Haison

More information

Lecture-V Stochastic Processes and the Basic Term-Structure Equation 1 Stochastic Processes Any variable whose value changes over time in an uncertain

Lecture-V Stochastic Processes and the Basic Term-Structure Equation 1 Stochastic Processes Any variable whose value changes over time in an uncertain Lecue-V Sochasic Pocesses and he Basic Tem-Sucue Equaion 1 Sochasic Pocesses Any vaiable whose value changes ove ime in an unceain way is called a Sochasic Pocess. Sochasic Pocesses can be classied as

More information

Chapter 7. Interference

Chapter 7. Interference Chape 7 Inefeence Pa I Geneal Consideaions Pinciple of Supeposiion Pinciple of Supeposiion When wo o moe opical waves mee in he same locaion, hey follow supeposiion pinciple Mos opical sensos deec opical

More information

Pressure Vessels Thin and Thick-Walled Stress Analysis

Pressure Vessels Thin and Thick-Walled Stress Analysis Pessue Vessels Thin and Thick-Walled Sess Analysis y James Doane, PhD, PE Conens 1.0 Couse Oveview... 3.0 Thin-Walled Pessue Vessels... 3.1 Inoducion... 3. Sesses in Cylindical Conaines... 4..1 Hoop Sess...

More information

Combinatorial Approach to M/M/1 Queues. Using Hypergeometric Functions

Combinatorial Approach to M/M/1 Queues. Using Hypergeometric Functions Inenaional Mahemaical Foum, Vol 8, 03, no 0, 463-47 HIKARI Ld, wwwm-hikaicom Combinaoial Appoach o M/M/ Queues Using Hypegeomeic Funcions Jagdish Saan and Kamal Nain Depamen of Saisics, Univesiy of Delhi,

More information

Design Guideline for Buried Hume Pipe Subject to Coupling Forces

Design Guideline for Buried Hume Pipe Subject to Coupling Forces Design Guideline fo Buied Hume Pipe Sujec o Coupling Foces Won Pyo Hong 1), *Seongwon Hong 2), and Thomas Kang 3) 1) Depamen of Civil, nvionmenal and Plan ngineeing, Chang-Ang Univesiy, Seoul 06974, Koea

More information

MECHANICS OF MATERIALS Poisson s Ratio

MECHANICS OF MATERIALS Poisson s Ratio Fouh diion MCHANICS OF MATRIALS Poisson s Raio Bee Johnson DeWolf Fo a slende ba subjeced o aial loading: 0 The elongaion in he -diecion is accompanied b a conacion in he ohe diecions. Assuming ha he maeial

More information

Lecture 5. Chapter 3. Electromagnetic Theory, Photons, and Light

Lecture 5. Chapter 3. Electromagnetic Theory, Photons, and Light Lecue 5 Chape 3 lecomagneic Theo, Phoons, and Ligh Gauss s Gauss s Faada s Ampèe- Mawell s + Loen foce: S C ds ds S C F dl dl q Mawell equaions d d qv A q A J ds ds In mae fields ae defined hough ineacion

More information

r r r r r EE334 Electromagnetic Theory I Todd Kaiser

r r r r r EE334 Electromagnetic Theory I Todd Kaiser 334 lecoagneic Theoy I Todd Kaise Maxwell s quaions: Maxwell s equaions wee developed on expeienal evidence and have been found o goven all classical elecoagneic phenoena. They can be wien in diffeenial

More information

2D vector fields 1. Contents

2D vector fields 1. Contents D veco fields Scienific Visualizaion (Pa 6) PD D.-Ing. Pee Haseie Conens Inoducion Chaaceisic lines in veco fields Physical saegies Geneal consideaions Aows and glyphs Inoducion o paicle acing Inegaion

More information

An Open cycle and Closed cycle Gas Turbine Engines. Methods to improve the performance of simple gas turbine plants

An Open cycle and Closed cycle Gas Turbine Engines. Methods to improve the performance of simple gas turbine plants An Open cycle and losed cycle Gas ubine Engines Mehods o impove he pefomance of simple gas ubine plans I egeneaive Gas ubine ycle: he empeaue of he exhaus gases in a simple gas ubine is highe han he empeaue

More information

AN EVOLUTIONARY APPROACH FOR SOLVING DIFFERENTIAL EQUATIONS

AN EVOLUTIONARY APPROACH FOR SOLVING DIFFERENTIAL EQUATIONS AN EVOLUTIONARY APPROACH FOR SOLVING DIFFERENTIAL EQUATIONS M. KAMESWAR RAO AND K.P. RAVINDRAN Depamen of Mechanical Engineeing, Calicu Regional Engineeing College, Keala-67 6, INDIA. Absac:- We eploe

More information

Heat Conduction Problem in a Thick Circular Plate and its Thermal Stresses due to Ramp Type Heating

Heat Conduction Problem in a Thick Circular Plate and its Thermal Stresses due to Ramp Type Heating ISSN(Online): 319-8753 ISSN (Pin): 347-671 Inenaional Jounal of Innovaive Reseac in Science, Engineeing and Tecnology (An ISO 397: 7 Ceified Oganiaion) Vol 4, Issue 1, Decembe 15 Hea Concion Poblem in

More information

AST1100 Lecture Notes

AST1100 Lecture Notes AST00 Lecue Noes 5 6: Geneal Relaiviy Basic pinciples Schwazschild geomey The geneal heoy of elaiviy may be summaized in one equaion, he Einsein equaion G µν 8πT µν, whee G µν is he Einsein enso and T

More information

A Weighted Moving Average Process for Forecasting. Shou Hsing Shih Chris P. Tsokos

A Weighted Moving Average Process for Forecasting. Shou Hsing Shih Chris P. Tsokos A Weighed Moving Aveage Pocess fo Foecasing Shou Hsing Shih Chis P. Tsokos Depamen of Mahemaics and Saisics Univesiy of Souh Floida, USA Absac The objec of he pesen sudy is o popose a foecasing model fo

More information

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 9 Solutions [Theorems of Gauss and Stokes]

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 9 Solutions [Theorems of Gauss and Stokes] ENGI 44 Avance alculus fo Engineeing Faculy of Engineeing an Applie cience Poblem e 9 oluions [Theoems of Gauss an okes]. A fla aea A is boune by he iangle whose veices ae he poins P(,, ), Q(,, ) an R(,,

More information

MEEN 617 Handout #11 MODAL ANALYSIS OF MDOF Systems with VISCOUS DAMPING

MEEN 617 Handout #11 MODAL ANALYSIS OF MDOF Systems with VISCOUS DAMPING MEEN 67 Handou # MODAL ANALYSIS OF MDOF Sysems wih VISCOS DAMPING ^ Symmeic Moion of a n-dof linea sysem is descibed by he second ode diffeenial equaions M+C+K=F whee () and F () ae n ows vecos of displacemens

More information

AN EFFICIENT INTEGRAL METHOD FOR THE COMPUTATION OF THE BODIES MOTION IN ELECTROMAGNETIC FIELD

AN EFFICIENT INTEGRAL METHOD FOR THE COMPUTATION OF THE BODIES MOTION IN ELECTROMAGNETIC FIELD AN EFFICIENT INTEGRAL METHOD FOR THE COMPUTATION OF THE BODIES MOTION IN ELECTROMAGNETIC FIELD GEORGE-MARIAN VASILESCU, MIHAI MARICARU, BOGDAN DUMITRU VĂRĂTICEANU, MARIUS AUREL COSTEA Key wods: Eddy cuen

More information

Circular Motion. Radians. One revolution is equivalent to which is also equivalent to 2π radians. Therefore we can.

Circular Motion. Radians. One revolution is equivalent to which is also equivalent to 2π radians. Therefore we can. 1 Cicula Moion Radians One evoluion is equivalen o 360 0 which is also equivalen o 2π adians. Theefoe we can say ha 360 = 2π adians, 180 = π adians, 90 = π 2 adians. Hence 1 adian = 360 2π Convesions Rule

More information

EN221 - Fall HW # 7 Solutions

EN221 - Fall HW # 7 Solutions EN221 - Fall2008 - HW # 7 Soluions Pof. Vivek Shenoy 1.) Show ha he fomulae φ v ( φ + φ L)v (1) u v ( u + u L)v (2) can be pu ino he alenaive foms φ φ v v + φv na (3) u u v v + u(v n)a (4) (a) Using v

More information

Prerna Tower, Road No 2, Contractors Area, Bistupur, Jamshedpur , Tel (0657) , PART A PHYSICS

Prerna Tower, Road No 2, Contractors Area, Bistupur, Jamshedpur , Tel (0657) ,  PART A PHYSICS Pena Towe, oad No, Conacos Aea, isupu, Jamshedpu 83, Tel (657)89, www.penaclasses.com AIEEE PAT A PHYSICS Physics. Two elecic bulbs maked 5 W V and W V ae conneced in seies o a 44 V supply. () W () 5 W

More information

Elastic-Plastic Deformation of a Rotating Solid Disk of Exponentially Varying Thickness and Exponentially Varying Density

Elastic-Plastic Deformation of a Rotating Solid Disk of Exponentially Varying Thickness and Exponentially Varying Density Poceedings of he Inenaional MuliConfeence of Enginees Compue Scieniss 6 Vol II, IMECS 6, Mach 6-8, 6, Hong Kong Elasic-Plasic Defomaion of a Roaing Solid Dis of Exponenially Vaying hicness Exponenially

More information

2. v = 3 4 c. 3. v = 4c. 5. v = 2 3 c. 6. v = 9. v = 4 3 c

2. v = 3 4 c. 3. v = 4c. 5. v = 2 3 c. 6. v = 9. v = 4 3 c Vesion 074 Exam Final Daf swinney (55185) 1 This pin-ou should have 30 quesions. Muliple-choice quesions may coninue on he nex column o page find all choices befoe answeing. 001 10.0 poins AballofmassM

More information

On The Estimation of Two Missing Values in Randomized Complete Block Designs

On The Estimation of Two Missing Values in Randomized Complete Block Designs Mahemaical Theoy and Modeling ISSN 45804 (Pape ISSN 505 (Online Vol.6, No.7, 06 www.iise.og On The Esimaion of Two Missing Values in Randomized Complee Bloc Designs EFFANGA, EFFANGA OKON AND BASSE, E.

More information

ÖRNEK 1: THE LINEAR IMPULSE-MOMENTUM RELATION Calculate the linear momentum of a particle of mass m=10 kg which has a. kg m s

ÖRNEK 1: THE LINEAR IMPULSE-MOMENTUM RELATION Calculate the linear momentum of a particle of mass m=10 kg which has a. kg m s MÜHENDİSLİK MEKANİĞİ. HAFTA İMPULS- MMENTUM-ÇARPIŞMA Linea oenu of a paicle: The sybol L denoes he linea oenu and is defined as he ass ies he elociy of a paicle. L ÖRNEK : THE LINEAR IMPULSE-MMENTUM RELATIN

More information

Research on the Algorithm of Evaluating and Analyzing Stationary Operational Availability Based on Mission Requirement

Research on the Algorithm of Evaluating and Analyzing Stationary Operational Availability Based on Mission Requirement Reseach on he Algoihm of Evaluaing and Analyzing Saionay Opeaional Availabiliy Based on ission Requiemen Wang Naichao, Jia Zhiyu, Wang Yan, ao Yilan, Depamen of Sysem Engineeing of Engineeing Technology,

More information

Modelling Hydromechanical Dilation Geomaterial Cavitation and Localization

Modelling Hydromechanical Dilation Geomaterial Cavitation and Localization Modelling Hydomechanical Dilaion Geomaeial Caviaion and Localizaion Y. Sieffe, O. Buzzi, F. Collin and R. Chambon Absac This pape pesens an exension of he local second gadien model o muliphasic maeials

More information

Energy dispersion relation for negative refraction (NR) materials

Energy dispersion relation for negative refraction (NR) materials Enegy dispesion elaion fo negaive efacion (NR) maeials Y.Ben-Ayeh Physics Depamen, Technion Isael of Technology, Haifa 3, Isael E-mail addess: ph65yb@physics.echnion,ac.il; Fax:97 4 895755 Keywods: Negaive-efacion,

More information

On Energy-Efficient Node Deployment in Wireless Sesnor Networks

On Energy-Efficient Node Deployment in Wireless Sesnor Networks I J Communicaions, Newok and Sysem Sciences, 008, 3, 07-83 Published Online Augus 008 in Scies (hp://wwwscipog/jounal/ijcns/) On Enegy-Efficien Node Deploymen in Wieless Sesno Newoks Hui WANG 1, KeZhong

More information

The shortest path between two truths in the real domain passes through the complex domain. J. Hadamard

The shortest path between two truths in the real domain passes through the complex domain. J. Hadamard Complex Analysis R.G. Halbud R.Halbud@ucl.ac.uk Depamen of Mahemaics Univesiy College London 202 The shoes pah beween wo uhs in he eal domain passes hough he complex domain. J. Hadamad Chape The fis fundamenal

More information

( ) c(d p ) = 0 c(d p ) < c(d p ) 0. H y(d p )

( ) c(d p ) = 0 c(d p ) < c(d p ) 0. H y(d p ) 8.7 Gavimeic Seling in a Room Conside a oom of volume V, heigh, and hoizonal coss-secional aea A as shown in Figue 8.18, which illusaes boh models. c(d ) = 0 c(d ) < c(d ) 0 y(d ) (a) c(d ) = c(d ) 0 (b)

More information

General Non-Arbitrage Model. I. Partial Differential Equation for Pricing A. Traded Underlying Security

General Non-Arbitrage Model. I. Partial Differential Equation for Pricing A. Traded Underlying Security 1 Geneal Non-Abiage Model I. Paial Diffeenial Equaion fo Picing A. aded Undelying Secuiy 1. Dynamics of he Asse Given by: a. ds = µ (S, )d + σ (S, )dz b. he asse can be eihe a sock, o a cuency, an index,

More information

Sections 3.1 and 3.4 Exponential Functions (Growth and Decay)

Sections 3.1 and 3.4 Exponential Functions (Growth and Decay) Secions 3.1 and 3.4 Eponenial Funcions (Gowh and Decay) Chape 3. Secions 1 and 4 Page 1 of 5 Wha Would You Rahe Have... $1million, o double you money evey day fo 31 days saing wih 1cen? Day Cens Day Cens

More information

Physics 2001/2051 Moments of Inertia Experiment 1

Physics 2001/2051 Moments of Inertia Experiment 1 Physics 001/051 Momens o Ineia Expeimen 1 Pelab 1 Read he ollowing backgound/seup and ensue you ae amilia wih he heoy equied o he expeimen. Please also ill in he missing equaions 5, 7 and 9. Backgound/Seup

More information

Effect of Wall Absorption on dispersion of a solute in a Herschel Bulkley Fluid through an annulus

Effect of Wall Absorption on dispersion of a solute in a Herschel Bulkley Fluid through an annulus Available online a www.pelagiaeseachlibay.com Advances in Applied Science Reseach,, 3 (6):3878-3889 ISSN: 976-86 CODEN (USA): AASRFC Effec of Wall Absopion on dispesion of a solue in a Heschel Bulley Fluid

More information

A Numerical Hydration Model of Portland Cement

A Numerical Hydration Model of Portland Cement A Numeical Hydaion Model of Poland Cemen Ippei Mauyama, Tesuo Masushia and Takafumi Noguchi ABSTRACT : A compue-based numeical model is pesened, wih which hydaion and micosucual developmen in Poland cemen-based

More information

[ ] 0. = (2) = a q dimensional vector of observable instrumental variables that are in the information set m constituents of u

[ ] 0. = (2) = a q dimensional vector of observable instrumental variables that are in the information set m constituents of u Genealized Mehods of Momens he genealized mehod momens (GMM) appoach of Hansen (98) can be hough of a geneal pocedue fo esing economics and financial models. he GMM is especially appopiae fo models ha

More information

NUMERICAL SIMULATION FOR NONLINEAR STATIC & DYNAMIC STRUCTURAL ANALYSIS

NUMERICAL SIMULATION FOR NONLINEAR STATIC & DYNAMIC STRUCTURAL ANALYSIS Join Inenaional Confeence on Compuing and Decision Making in Civil and Building Engineeing June 14-16, 26 - Monéal, Canada NUMERICAL SIMULATION FOR NONLINEAR STATIC & DYNAMIC STRUCTURAL ANALYSIS ABSTRACT

More information

OPTIMIZATION OF TOW-PLACED, TAILORED COMPOSITE LAMINATES

OPTIMIZATION OF TOW-PLACED, TAILORED COMPOSITE LAMINATES 6 H INERNAIONAL CONFERENCE ON COMPOSIE MAERIALS OPIMIZAION OF OW-PLACED AILORED COMPOSIE LAMINAES Adiana W. Blom* Mosafa M. Abdalla* Zafe Güdal* *Delf Univesi of echnolog he Nehelands Kewods: vaiable siffness

More information

CS 188: Artificial Intelligence Fall Probabilistic Models

CS 188: Artificial Intelligence Fall Probabilistic Models CS 188: Aificial Inelligence Fall 2007 Lecue 15: Bayes Nes 10/18/2007 Dan Klein UC Bekeley Pobabilisic Models A pobabilisic model is a join disibuion ove a se of vaiables Given a join disibuion, we can

More information

Relative and Circular Motion

Relative and Circular Motion Relaie and Cicula Moion a) Relaie moion b) Cenipeal acceleaion Mechanics Lecue 3 Slide 1 Mechanics Lecue 3 Slide 2 Time on Video Pelecue Looks like mosly eeyone hee has iewed enie pelecue GOOD! Thank you

More information

EFFECT OF PERMISSIBLE DELAY ON TWO-WAREHOUSE INVENTORY MODEL FOR DETERIORATING ITEMS WITH SHORTAGES

EFFECT OF PERMISSIBLE DELAY ON TWO-WAREHOUSE INVENTORY MODEL FOR DETERIORATING ITEMS WITH SHORTAGES Volume, ssue 3, Mach 03 SSN 39-4847 EFFEC OF PERMSSBLE DELAY ON WO-WAREHOUSE NVENORY MODEL FOR DEERORANG EMS WH SHORAGES D. Ajay Singh Yadav, Ms. Anupam Swami Assisan Pofesso, Depamen of Mahemaics, SRM

More information

Variance and Covariance Processes

Variance and Covariance Processes Vaiance and Covaiance Pocesses Pakash Balachandan Depamen of Mahemaics Duke Univesiy May 26, 2008 These noes ae based on Due s Sochasic Calculus, Revuz and Yo s Coninuous Maingales and Bownian Moion, Kaazas

More information

Representing Knowledge. CS 188: Artificial Intelligence Fall Properties of BNs. Independence? Reachability (the Bayes Ball) Example

Representing Knowledge. CS 188: Artificial Intelligence Fall Properties of BNs. Independence? Reachability (the Bayes Ball) Example C 188: Aificial Inelligence Fall 2007 epesening Knowledge ecue 17: ayes Nes III 10/25/2007 an Klein UC ekeley Popeies of Ns Independence? ayes nes: pecify complex join disibuions using simple local condiional

More information

ME 304 FLUID MECHANICS II

ME 304 FLUID MECHANICS II ME 304 LUID MECHNICS II Pof. D. Haşme Tükoğlu Çankaya Uniesiy aculy of Engineeing Mechanical Engineeing Depamen Sping, 07 y du dy y n du k dy y du k dy n du du dy dy ME304 The undamenal Laws Epeience hae

More information

Chapter Finite Difference Method for Ordinary Differential Equations

Chapter Finite Difference Method for Ordinary Differential Equations Chape 8.7 Finie Diffeence Mehod fo Odinay Diffeenial Eqaions Afe eading his chape, yo shold be able o. Undesand wha he finie diffeence mehod is and how o se i o solve poblems. Wha is he finie diffeence

More information

Pseudosteady-State Flow Relations for a Radial System from Department of Petroleum Engineering Course Notes (1997)

Pseudosteady-State Flow Relations for a Radial System from Department of Petroleum Engineering Course Notes (1997) Pseudoseady-Sae Flow Relaions fo a Radial Sysem fom Deamen of Peoleum Engineeing Couse Noes (1997) (Deivaion of he Pseudoseady-Sae Flow Relaions fo a Radial Sysem) (Deivaion of he Pseudoseady-Sae Flow

More information

156 There are 9 books stacked on a shelf. The thickness of each book is either 1 inch or 2

156 There are 9 books stacked on a shelf. The thickness of each book is either 1 inch or 2 156 Thee ae 9 books sacked on a shelf. The hickness of each book is eihe 1 inch o 2 F inches. The heigh of he sack of 9 books is 14 inches. Which sysem of equaions can be used o deemine x, he numbe of

More information

Physics 207 Lecture 13

Physics 207 Lecture 13 Physics 07 Lecue 3 Physics 07, Lecue 3, Oc. 8 Agenda: Chape 9, finish, Chape 0 Sa Chape 9: Moenu and Collision Ipulse Cene of ass Chape 0: oaional Kineaics oaional Enegy Moens of Ineia Paallel axis heoe

More information

FINITE DIFFERENCE APPROACH TO WAVE GUIDE MODES COMPUTATION

FINITE DIFFERENCE APPROACH TO WAVE GUIDE MODES COMPUTATION FINITE DIFFERENCE ROCH TO WVE GUIDE MODES COMUTTION Ing.lessando Fani Elecomagneic Gou Deamen of Elecical and Eleconic Engineeing Univesiy of Cagliai iazza d mi, 93 Cagliai, Ialy SUMMRY Inoducion Finie

More information

( ) exp i ω b ( ) [ III-1 ] exp( i ω ab. exp( i ω ba

( ) exp i ω b ( ) [ III-1 ] exp( i ω ab. exp( i ω ba THE INTEACTION OF ADIATION AND MATTE: SEMICLASSICAL THEOY PAGE 26 III. EVIEW OF BASIC QUANTUM MECHANICS : TWO -LEVEL QUANTUM SYSTEMS : The lieaue of quanum opics and lase specoscop abounds wih discussions

More information

Research Article Stress Analysis of Nonhomogeneous Rotating Disc with Arbitrarily Variable Thickness Using Finite Element Method

Research Article Stress Analysis of Nonhomogeneous Rotating Disc with Arbitrarily Variable Thickness Using Finite Element Method Reseach Jounal of Applied Sciences, Engineeing and Technology 7(15): 3114-315, 014 DOI:10.1906/jase.7.650 ISSN: 040-7459; e-issn: 040-7467 014 Maxwell Scienific Publicaion Cop. Submied: Ocobe 09, 013 Acceped:

More information

Reinforcement learning

Reinforcement learning Lecue 3 Reinfocemen leaning Milos Hauskech milos@cs.pi.edu 539 Senno Squae Reinfocemen leaning We wan o lean he conol policy: : X A We see examples of x (bu oupus a ae no given) Insead of a we ge a feedback

More information

Efficient experimental detection of milling stability boundary and the optimal axial immersion for helical mills

Efficient experimental detection of milling stability boundary and the optimal axial immersion for helical mills Efficien expeimenal deecion of milling sabiliy bounday and he opimal axial immesion fo helical mills Daniel BACHRATHY Depamen of Applied Mechanics, Budapes Univesiy of Technology and Economics Muegyeem

More information

P h y s i c s F a c t s h e e t

P h y s i c s F a c t s h e e t P h y s i c s F a c s h e e Sepembe 2001 Numbe 20 Simple Hamonic Moion Basic Conceps This Facshee will:! eplain wha is mean by simple hamonic moion! eplain how o use he equaions fo simple hamonic moion!

More information

In the previous section we considered problems where the

In the previous section we considered problems where the 5.4 Hydodynamically Fully Developed and Themally Developing Lamina Flow In the pevious section we consideed poblems whee the velocity and tempeatue pofile wee fully developed, so that the heat tansfe coefficient

More information

Artemis Project. Analysis of recovery buoy for Artemis. Analysis. Executive Summary. Model. Before and during deployment.

Artemis Project. Analysis of recovery buoy for Artemis. Analysis. Executive Summary. Model. Before and during deployment. Aemis Pojec Analysis of ecovey buoy fo Aemis Auho: Ahu Sale Vesion and dae hisoy: v1.01, 1 May 003 Documen ID: Sucue-1-1.01 Execuive Summay I is planned o fi a ecovey buoy o Aemis, ahe han aanging fo Aemis

More information

336 ERIDANI kfk Lp = sup jf(y) ; f () jj j p p whee he supemum is aken ove all open balls = (a ) inr n, jj is he Lebesgue measue of in R n, () =(), f

336 ERIDANI kfk Lp = sup jf(y) ; f () jj j p p whee he supemum is aken ove all open balls = (a ) inr n, jj is he Lebesgue measue of in R n, () =(), f TAMKANG JOURNAL OF MATHEMATIS Volume 33, Numbe 4, Wine 2002 ON THE OUNDEDNESS OF A GENERALIED FRATIONAL INTEGRAL ON GENERALIED MORREY SPAES ERIDANI Absac. In his pape we exend Nakai's esul on he boundedness

More information

A Negative Log Likelihood Function-Based Nonlinear Neural Network Approach

A Negative Log Likelihood Function-Based Nonlinear Neural Network Approach A Negaive Log Likelihood Funcion-Based Nonlinea Neual Newok Appoach Ponip Dechpichai,* and Pamela Davy School of Mahemaics and Applied Saisics Univesiy of Wollongong, Wollongong NSW 5, AUSTRALIA * Coesponding

More information

ON 3-DIMENSIONAL CONTACT METRIC MANIFOLDS

ON 3-DIMENSIONAL CONTACT METRIC MANIFOLDS Mem. Fac. Inegaed As and Sci., Hioshima Univ., Se. IV, Vol. 8 9-33, Dec. 00 ON 3-DIMENSIONAL CONTACT METRIC MANIFOLDS YOSHIO AGAOKA *, BYUNG HAK KIM ** AND JIN HYUK CHOI ** *Depamen of Mahemaics, Faculy

More information

Online Completion of Ill-conditioned Low-Rank Matrices

Online Completion of Ill-conditioned Low-Rank Matrices Online Compleion of Ill-condiioned Low-Rank Maices Ryan Kennedy and Camillo J. Taylo Compue and Infomaion Science Univesiy of Pennsylvania Philadelphia, PA, USA keny, cjaylo}@cis.upenn.edu Laua Balzano

More information

The Global Trade and Environment Model: GTEM

The Global Trade and Environment Model: GTEM The Global Tade and Envionmen Model: A pojecion of non-seady sae daa using Ineempoal GTEM Hom Pan, Vivek Tulpulé and Bian S. Fishe Ausalian Bueau of Agiculual and Resouce Economics OBJECTIVES Deive an

More information

Wavefront healing operators for improving reflection coherence

Wavefront healing operators for improving reflection coherence Wavefon healing opeaos fo impoving eflecion coheence David C. Henley Wavefon healing ABSTRACT Seismic eflecion image coninuiy is ofen advesely affeced by inadequae acquisiion o pocessing pocedues by he

More information

THE EFFECT OF SUCTION AND INJECTION ON UNSTEADY COUETTE FLOW WITH VARIABLE PROPERTIES

THE EFFECT OF SUCTION AND INJECTION ON UNSTEADY COUETTE FLOW WITH VARIABLE PROPERTIES Kragujevac J. Sci. 3 () 7-4. UDC 53.5:536. 4 THE EFFECT OF SUCTION AND INJECTION ON UNSTEADY COUETTE FLOW WITH VARIABLE PROPERTIES Hazem A. Aia Dep. of Mahemaics, College of Science,King Saud Universiy

More information

arxiv: v2 [stat.me] 13 Jul 2015

arxiv: v2 [stat.me] 13 Jul 2015 One- and wo-sample nonpaameic ess fo he al-o-noise aio based on ecod saisics axiv:1502.05367v2 [sa.me] 13 Jul 2015 Damien Challe 1,2 1 Laboaoie de mahémaiques appliquées aux sysèmes, CenaleSupélec, 92295

More information

EVENT HORIZONS IN COSMOLOGY

EVENT HORIZONS IN COSMOLOGY Mahemaics Today Vol7(Dec-)54-6 ISSN 976-38 EVENT HORIZONS IN COSMOLOGY K Punachanda Rao Depamen of Mahemaics Chiala Engineeing College Chiala 53 57 Andha Padesh, INDIA E-mail: dkpaocecc@yahoocoin ABSTRACT

More information

Damage Assessment in Composites using Fiber Bragg Grating Sensors. Mohanraj Prabhugoud

Damage Assessment in Composites using Fiber Bragg Grating Sensors. Mohanraj Prabhugoud ABSTRACT PRABHUGOUD MOHANRAJ. Damage Assessmen in Composies using Fibe Bagg Gaing Sensos. (Unde he diecion of Assisan Pofesso Kaa J. Pees). This disseaion develops a mehodology o assess damage in composies

More information

Numerical solution of fuzzy differential equations by Milne s predictor-corrector method and the dependency problem

Numerical solution of fuzzy differential equations by Milne s predictor-corrector method and the dependency problem Applied Maemaics and Sciences: An Inenaional Jounal (MaSJ ) Vol. No. Augus 04 Numeical soluion o uzz dieenial equaions b Milne s pedico-coeco meod and e dependenc poblem Kanagaajan K Indakuma S Muukuma

More information

Stress Analysis of Infinite Plate with Elliptical Hole

Stress Analysis of Infinite Plate with Elliptical Hole Sess Analysis of Infinie Plae ih Ellipical Hole Mohansing R Padeshi*, D. P. K. Shaa* * ( P.G.Suden, Depaen of Mechanical Engg, NRI s Insiue of Infoaion Science & Technology, Bhopal, India) * ( Head of,

More information

Engineering Accreditation. Heat Transfer Basics. Assessment Results II. Assessment Results. Review Definitions. Outline

Engineering Accreditation. Heat Transfer Basics. Assessment Results II. Assessment Results. Review Definitions. Outline Hea ansfe asis Febua 7, 7 Hea ansfe asis a Caeo Mehanial Engineeing 375 Hea ansfe Febua 7, 7 Engineeing ediaion CSUN has aedied pogams in Civil, Eleial, Manufauing and Mehanial Engineeing Naional aediing

More information

LawsoftheElectroElectricalInduction

LawsoftheElectroElectricalInduction Global Jounal of Reseaches in Engineeing: F Elecical and Eleconics Engineeing Volume 15 Issue 9 Vesion 1. Yea 15 Type: Double Blind Pee Reviewed Inenaional Reseach Jounal Publishe: Global Jounals Inc.

More information

An Exact Solution of Navier Stokes Equation

An Exact Solution of Navier Stokes Equation An Exact Solution of Navie Stokes Equation A. Salih Depatment of Aeospace Engineeing Indian Institute of Space Science and Technology, Thiuvananthapuam, Keala, India. July 20 The pincipal difficulty in

More information

Fig. 1S. The antenna construction: (a) main geometrical parameters, (b) the wire support pillar and (c) the console link between wire and coaxial

Fig. 1S. The antenna construction: (a) main geometrical parameters, (b) the wire support pillar and (c) the console link between wire and coaxial a b c Fig. S. The anenna consucion: (a) ain geoeical paaees, (b) he wie suppo pilla and (c) he console link beween wie and coaial pobe. Fig. S. The anenna coss-secion in he y-z plane. Accoding o [], he

More information

Kalman Filter: an instance of Bayes Filter. Kalman Filter: an instance of Bayes Filter. Kalman Filter. Linear dynamics with Gaussian noise

Kalman Filter: an instance of Bayes Filter. Kalman Filter: an instance of Bayes Filter. Kalman Filter. Linear dynamics with Gaussian noise COM47 Inoducion o Roboics and Inelligen ysems he alman File alman File: an insance of Bayes File alman File: an insance of Bayes File Linea dynamics wih Gaussian noise alman File Linea dynamics wih Gaussian

More information

Dynamic Estimation of OD Matrices for Freeways and Arterials

Dynamic Estimation of OD Matrices for Freeways and Arterials Novembe 2007 Final Repo: ITS Dynamic Esimaion of OD Maices fo Feeways and Aeials Auhos: Juan Calos Heea, Sauabh Amin, Alexande Bayen, Same Madana, Michael Zhang, Yu Nie, Zhen Qian, Yingyan Lou, Yafeng

More information