INVESTIGATION ON THE PRESSURE MATCHING PERFORMANCE OF THE CONSTANT AREA SUPERSONIC-SUPERSONIC EJECTOR. Jian CHEN, Zhenguo WANG*, Jiping WU, Wanwu XU

Size: px
Start display at page:

Download "INVESTIGATION ON THE PRESSURE MATCHING PERFORMANCE OF THE CONSTANT AREA SUPERSONIC-SUPERSONIC EJECTOR. Jian CHEN, Zhenguo WANG*, Jiping WU, Wanwu XU"

Transcription

1 INVESTIGATION ON THE PRESSURE MATCHING PERFORMANCE OF THE CONSTANT AREA SUPERSONIC-SUPERSONIC EJECTOR by Jan CHEN, Zhenguo WANG*, Jpng WU, Wanwu XU Scence and Technology on Scramje Laboraory, Naonal Unversy of Defense Technology, Changsha, Chna The pressure machng performance of he consan area supersonc-supersonc ejecor has been suded by varyng he prmary and secondary Mach numbers. The effec of he prmary flud njecon confguraons n ejecor, namely perpheral and cenral, has been nvesgaed as well. Schleren pcures of flow srucure n he former par of he mxng duc wh dfferen sagnaon pressure rao of he prmary and secondary flows have been aken. Pressure raos of he prmary and secondary flows a he lmng condon have been obaned from he resuls of pressure and opcal measuremens. Addonally, a compuaonal flud dynamcs analyss has been performed o clarfy he physcal meanng of he pressure machng performance dagram of he ejecor. The obaned resuls show ha he pressure machng performance of he consan area supersonc-supersonc ejecor ncreases wh he ncrease of he secondary Mach number, and he performance decreases slghly wh he ncrease of he prmary Mach number. The phenomenon of boundary layer separaon nduced by shock wave resuls n weaker pressure machng performance of he cenral ejecor han ha of he perpheral one. Furhermore, based on he observaons of he expermen, a smplfed analycal model has been proposed o predc he lmng pressure rao, and he predced values obaned by hs model agree well wh he expermenal daa. Key words: ejecor, hgh-energy chemcal laser, pressure recovery sysem, pressure machng 1. Inroducon Supersonc ejecors are flud devces n whch wo flud sreams are allowed o perform he mxng and recompresson. One flud wh hgher oal energy s he prmary flow, and he oher flud wh lower oal energy s he secondary flow. In a supersonc ejecor, ransfer of mechancal energy from he prmary flow o secondary flow s accomplshed by mxng of hese wo sreams, and supersonc ejecor s operaed whou movng pars. Is smplcy makes supersonc ejecors found many applcaons n engneerng, such as hgh-alude es facles [1], ejecor ramjes [2] and * Correspondng auhor; 137 Yanwach Sree, Changsha, Hunan, , Chna. e-mal: nud_cj@sna.cn

2 ejecor based refrgeraon cycle [3], ec. However, he prmary movaon for hs nvesgaon s he applcaon of he supersonc ejecor as he pressure recovery sysem n he hgh-energy chemcal laser. In he connuous-wave chemcal laser, he flow a he laser cavy ex s supersonc and wh low sac pressure (~400 Pa) [4]. To sar and susan he lasng process, he laser cavy flow mus be pumped o he amben condon. Thus, he pressure recovery sysem s necessary for he hgh-energy chemcal laser sysem. The subsonc-supersonc ejecor s used as he convenonal approach o solve he pressure recovery problem n he pas decades, see fg.1(a). However, he requremen of hgh flexbly on he ransporable accal hgh-energy laser expecs a furher reducon on he wegh and volume wh a beer performance of he pressure recovery sysem [5]. The supersonc-supersonc ejecor (SSE), see fg.1(b), seems o be a very suable means o sasfy he requremen of he accal hgh-energy laser menoned above [6]. In he supersonc-supersonc ejecor, he dffusers beween he laser cavy ex and he ejecor are elmnaed, and he supersonc laser cavy flow s pumped drecly by he supersonc ejecor. Fgure 1. Approaches o he pressure recovery problem: (a) subsonc-supersonc ejecor; (b) supersonc-supersonc ejecor However, Invesgaons on he supersonc-supersonc ejecor [7] have been rarely repored. In 1980s, Mkkelsen e al. [8] and Duon e al. [9] performed one-dmensonal analyses of he consan area supersonc-supersonc ejecor (CASSE), and a seres of small-scale CASSE expermens have been conduced o valdae he heorecal resuls. Recenly, researches concerned wh he SSE have no been avalable n he open leraure unl he work of Dvorak e al. [10, 11] on a wo-dmensonal CASSE, and he flow srucures n former par of he mxng duc and he ransonc nsably of he ejecor were analyzed. For a supersonc-supersonc ejecor, he Mach number of he secondary flow a he mxng duc nle mus be greaer han uny. However, f he prmary-o-secondary nle sac pressure rao s grea han uny, he secondary flow s compressed by he muual neracon of he prmary and secondary flows whn he mxng duc, hs process s lmed, and a condon s evenually reached for whch he secondary flow s compressed o aerodynamc chokng condon, see fg.2. The nle sac pressure rao of he prmary and secondary flows (= P p /P s ) a hs lmng condon s called he lm pressure rao. When he value of exceeds he value of, separaon lm lm

3 of he secondary flow occurs. Thus, s used as he creron o esmae he pressure machng lm performance of he CASSE. Fgure 2. Schemac of he flow feld a he lmng condon Due o he low cavy pressure of he hgh-energy chemcal laser, hgh compresson rao P b /P s s requred. Fgure 3 llusraes a ypcal operaon plane for he CASSE, and he uppermos boundary of he plane defnes he maxmum compresson rao of he ejecor. In fg.3, s observed ha he value of he maxmum compresson rao a he lmng condon s greaer han ha a he mached pressure condon. However, when exceeds, performance of he ejecor declnes because of he lm separaon of he secondary flow [9]. Therefore, he pressure machng performance of he consan area supersonc-supersonc ejecor should be nvesgaed n deal. Fgure 3. Typcal operaon plane for he CASSE 2. Expermenal Seup and Numercal Mehods 2.1. Expermenal Seup In hs sudy, he recangular CASSE wh he deph beng 80mm are nvesgaed. Fgure 4 shows he schemac vew of he model ejecors, he supersonc prmary flow s symmercally njeced along he op and boom walls, and he secondary flow s njeced hrough a consan area solaor wh s lengh beng 270mm. Then, he prmary and secondary flows mx n he 840mm long consan area mxng duc whch s 84mm hgh. The prmary and secondary nle heghs a he enrance of he mxng duc are 20mm and 40mm, respecvely. Boh he prmary and secondary nozzles are desgned by he mehod of characerscs o produce unform dsrbuons of velocy and pressure a he confluence pon of wo sreams. Pressure aps are nsalled a sx locaons, namely, wo sagnaon

4 pressures of he prmary flows (P p_u and P p_d, respecvely), sagnaon pressure of he secondary flow (P s ), and sac pressures of he prmary and secondary flows a he enrance of he mxng duc (P p_u, P p_d and P s ). Pezopressure ransducers wh an operang range of 0-1MPa and an accuracy of 0.5% are used o measure P p_u and P p_d, and he ransducers wh a range of 0-100kPa and an accuracy of 0.05% are used for he measuremen of he pressure a he oher pons. The daa raes of all he pressure measuremens are 1000Hz. Fgure 4. Schemac of he nvesgaed model ejecors The Mach numbers of he prmary and secondary a he enrance of he mxng duc are calbraed by he measured pressures va eq.(1): P P π(, M ) (1) where 1 π(, M) 1 M (2) The calbraed Mach numbers a he mxng duc nle are lsed n ab.1. Table 1. Inle Mach numbers for he ejecor expermens No. M p_u M p_d M s Ejecor 1# 1.58 Ejecor 2# % 1.74 Ejecor 3# 1.91 Ejecor 4# 1.58 Ejecor 5# % 1.74 Ejecor 6# 1.91 The schemac of he es facly s llusraed n fg.5. Boh he prmary and secondary fluds are he compressed ar from a pressure ank, and hese wo fluds are led hrough he closng and conrol valves o he ejecor. Then he mxed flow s led hrough a fnal sagnaon chamber wh back pressure conrol valve, whch s locaed downsream from he ejecor ex. However, he back pressure conrol valve s fully open n he curren sudy. The characersc of flow n he supersonc ejecor s raher complex, shock waves, mxng layers, he neracon beween shock waves and he neracon beween shock waves and mxng layers occur frequenly, and he schleren mehod seems o be very suable for nvesgaon. Schleren pcures are aken wh urnng he knfe edge o horzonal poson (0 degree), so he opcal measuremens are sensve o changes of densy n drecon perpendcular o he symmercal plane of he ejecor, and he rgh-mos border of he regon vsble a opcal measuremens s approxmaely 100mm downsream from he mxng duc nle.

5 Fgure 5. Tes nsallaon of he nvesgaed model ejecors 2.2. Numercal Model In he curren compuaonal analyss, he wo-dmensonal Reynolds Averaged Naver Sokes (RANS) equaons are solved wh he densy based solver of FLUENT [12]. The k RNG urbulence model wh he enhanced wall reamen s employed o smulae he urbulen flow feld n he ejecor, and he k RNG model s seleced for gves good resuls for he shock phase and srengh [13]. The equaons are solved usng a fne-volume negraon scheme, he second order spaally accurae upwnd scheme wh he advecon upsream splng mehod (AUSM) flux vecor splng s ulzed. The cold ar s consdered o be a calorcally perfec gas wh a consan rao of specfc heas, namely 1.4. The ar, usng he dea gas approxmaon, and he oal emperaure s K, s used as he workng flud. The Suherland law of vscosy s employed. The soluons can be consdered as converged when mos of he resduals reach her mnmum values afer fallng for more han hree orders of magnude, and he compued n flow and he ouflow mass flux s requred o drop below kg/s. The doman of he ejecors s consdered o be symmercal abou he cenral plane. Boundary condons are defned by nle pressure n enrances of he ejecor and by oule pressure a he ex of he ejecor, and no-slp condons are appled along he sold walls by seng he velocy componens o zero and nullfyng he energy conrbuons of he wall faces o he dsspave fluxes. The srucured quadrlaeral mesh conanng approxmaely 90,000 cells s creaed by he commercal sofware Gamb. The concenraon of grd densy s focused on he areas where sgnfcan phenomena s expeced [14], also he grd s densely clusered near he walls of he mxng duc, and he hegh of he frs row of cells s se a a dsance o he wall of 0.01mm, whch resuls n a value of y+ smaller han 1.0 for all of he flow feld. 3. Resuls and Dscusson 3.1. Supersonc flow srucures wh vared pressure rao The essenal of he pressure machng beween he prmary and secondary flows n he CASSE s he neracon of wo supersonc jes n a confned duc. In hs secon, he near feld flow srucures

6 of he prmary and secondary jes wh vared are suded. Snce he prmary and secondary nle sac pressures, P p and P s, are dffcul o be obaned when opcal measuremens are performed, hus, he sagnaon pressure rao deermned by usng eq.(1). dfferen (=P p /P s ) s also used n hs paper, and he correspondng can be Fgure 6 shows he supersonc flow feld n former par of he mxng duc of he Ejecor 3# for. Fgure 6. Flow srucures n former par of he mxng duc of he CASSE wh dfferen In fg.6(a), when 6.6, and he correspondng 1.6, he secondary flow s compressed and wo oblque shock waves, namely A1 and A2, nersec a he symmerc plane, and wo shock waves B1 and B2 go on. The angles of shock waves A1 and A2, ogeher wh her refleced shock waves B1 and B2, ncrease wh he ncrease of, see fg.6(b)-(d). However, s observed from he numercal resuls shown n fg.6(a)-(d), he refleced shock waves B1 and B2 are srong oblque shock waves when 13.1, and he shock waves B1 and B2 are weak ones n he oher cases. As depced n fg.6(e), when ncreases o 14.0, a Mach dsc appears n he secondary flow. As ncreases

7 furher, he secondary nle a he mxng duc enrance s no longer occuped by he supersonc secondary flow compleely, he boundary layer of he secondary flow separaes n he solaor, and a shock ran runs no he mxng duc, see fg.6(f). Thus, here exss a lmng pressure rao, lm_ 01 when exceeds, separaon of he secondary flow occurs. However, lm_ 01 s hard o lm_ 01 be obaned accuraely va schleren pcures, an alernae lmng pressure rao,, s se n lm_ 02 hs paper when he Mach dsc jus dsappears, as depced n fg.6(d). Thus, he value of lm_ 02 can be deermned expermenally, n hs case, 3.11, and he value of lm_ 02 s lm_ 01 deermned by numercal compuaon n he followng secons Effec of he prmary and secondary Mach numbers on he pressure machng performance The lmng pressure raos of he CASSEs wh dfferen nle prmary and secondary Mach numbers are presened n fg.7, and he lmng pressure raos calculaed by he heorecal model proposed by Duon e al. [9] are also gven. I s observed from fg.7 ha, he pressure machng performance of he CASSE ncreases wh he ncrease of he secondary Mach number, and he performance decreases slghly wh he ncrease of he prmary Mach number. Fgure 7. Comparson of he lmng pressure raos The effec of he secondary Mach number on he pressure machng performance can be explaned by he model proposed by Duon e al. The flow model s shown n fg.2 wh he followng assumpons [9]: (1) The prmary and secondary sreams reman dsnc and do no mx beween saons and 2. (2) The flow s senropc for boh he prmary and secondary flows beween saons and 2. (3) The Mach number of he secondary flow a saon 2 s uny, namely M s2 = 1.0. M p, A p and A s keep consan, and P s s assumed o be unalered when M s ncreases. Fgure 8 shows he conrol volume of he secondary flow n secon -2.

8 Fgure 8. Conrol volume of he secondary flow Applyng he momenum conservaon equaon o hs conrol volume yelds A s d 1 P A M P A M P A P A M P A A (3) s s s s s2 s2 s s2 p s2 s2 s s2 p s s2 As2 Rearrangng eq.(3) as A 2 2 s As2 1 sms Ps2 Ps 1 sm s2 Pp P A A s s s2 where P P π, M 1 s2 s s (5) π, M s s s2 (4) A A s 1 2 s Ms M 1 2 s2 s s s 1 2 s 1 (6) Fgure 9 shows he varaon of P P wh he ncrease of M s when s 1.4. p s Fgure 9. P P versus M s when s 1.4 p s I s llusraed n fg.9 ha Pp P s s a monooncally ncreasng funcon of M s. When M s ncreases, he slplne moves oward he symmercal plane, and he cross-seconal area of he prmary flow beween -2 ncreases. Snce P s s assumed unalered and prmary flow beween -2, an ncrease of Pp P p s he average sac pressure of he P can be obaned only when P p ncreases. Therefore, s he lmng pressure rao of he CASSE ncreases wh he ncrease of he secondary Mach number.

9 Alhough he model proposed by Duon e al. shows good applcably n explanng he nfluence of he secondary Mach number, he heorecal value of calculaed by hs model s lm much smaller han and lm_ 01, see fg.7. I s learned from he fundamenal of he lm_ 02 aerodynamcs ha shock wave s nevable when decelerang a supersonc flow, and he supersonc srucures n he former par of he mxng duc gven n las secon also show ha, he srengh of he shock waves n he secondary flow s farly srong when keeps near o he lmng condon. However, he assumpon of an senropc compresson of he secondary flow s used n he model proposed by Duon e al., he devaon of hs assumpon from he acual compresson process of he supersonc flow resuls n a large underesmae of he lmng pressure rao The pressure machng performance of he cenral CASSE As for a supersonc ejecor, here are wo ypes of ejecors, namely he perpheral and cenral ejecors. Fgure 10 llusraes he cross seconal vew of he mxng duc nle for boh he perpheral and cenral ejecors. Fgure 10. Cross seconal vew of he mxng duc nle for he perpheral and cenral ejecors Fgure 11 shows he comparson of he predced lmng pressure raos calculaed by he model proposed by Duon e al. wh he expermenal resuls of he cenral CASSEs (adaped from reference [9]). I s observed from fg.11 ha he expermenal lmng pressure raos of he cenral CASSE are smaller han he heorecal values, and hs s jus oppose for he perpheral ones, see fg.7.

10 Fgure 11. Comparson of he heorecal and expermenal lmng pressure rao of he cenral CASSE wh M p = 2.5. (adaped from reference [9]) Fgure 12 shows flow srucures n former par of he mxng duc of a cenral CASSE (Ejecor 3# cenral CASSE) wh dfferen, and Ejecor 3# cenral CASSE has he same nle prmary and secondary Mach numbers as Ejecor 3# perpheral CASSE lss n ab.1. I s observed from fg.12(c) ha he secondary flow separaon occurs when 12.7, however, he secondary nle of he Ejecor 3# perpheral CASSE s sll occuped by he complee supersonc secondary flow when 14.0, see fg.6(e). Fgure 12. Flow srucures n he former par of he mxng duc of he Ejecor 3# cenral CASSE wh dfferen The sreamlnes n he former par of he mxng duc of he cenral CASSE are shown n fg.13. I s observed from fg.13 ha a recrculaon zone s formed because of he boundary layer separaon, and hs separaon s nduced by shock waves. The recrculaon zone reduces he effecve area of he secondary flow, and hs resuls n a sronger compresson of he secondary flow. Thus, he pressure graden along he flow drecon of he secondary flow ncreases. And hs means ha he local back pressure of he secondary flow a he mxng duc nle ncreases. Therefore, he pressure machng performance of he cenral CASSE s reduced by boundary layer separaon nduced by shock waves.

11 Fgure 13. Sreamlnes n he former par of he mxng duc of he Ejecor 3# cenral CASSE 3.4. A modfed model for predcng he lmng pressure rao of he CASSE Snce he srengh of shock waves n he secondary flow jus downsream he mxng duc nle s farly srong when keeps near o he lmng condon, he effec of he shock waves mus be consdered n he heorecal model for predcng he lmng pressure rao. Fgure 14 s a schemac of he flow feld n concern. Fgure 14. Dagram of saons and nomenclaure used n he heorecal analyss When wall shear sresses are neglgble, he momenum conservaon equaon can be appled o he prmary and secondary flows as a whole conrol volume beween saons and 2. I s assumed ha he mxng of he prmary and secondary flows s neglgble beween saons and 2, hus, he mass conservaon equaon can be appled o he prmary and secondary flows, respecvely. By applyng he mass and momenum conservaon equaons ogeher wh he followng assumpons, he lmng pressure rao of he CASSE can be deermned. (1) The flow beween saons and 2 s seady, adabac and one-dmensonal. (2) The workng fluds are deal gases wh consan specfc hea rao, namely p and (3) The prmary and secondary flows are pecewse unform a saon. (4) The sac pressures are such ha P p >P s. (5) The prmary flow s senropc beween saons and 2. (6) The secondary flow s choked a saon 2. (7) The secondary flow experences an oblque shock wave A, he shock wave angle max s deermned by he maxmum urnng angle for gven Mach number upsream of he oblque shock wave. (8) The oblque shock wave A affecs only he properes of he secondary flow afer saon 1. (9) The secondary flow s unform a saon 1, and s senropc beween saons 1 and 2. One consequence of assumpon (7) s ha he shock wave sandng a he ex of solaor s a srong oblque shock wave. Of course, he rue oblque shock wave nduced by he urnng angle s a s.

12 weak one. Applyng he momenum conservaon equaon o he prmary and secondary flows beween saons and 2 ogeher wh assumpons (1, 3) yelds P A M P A M P A M P A M (7) p p p p s s s s p2 p2 p p2 s2 s2 s s2 Rearrangng eq.(7) as P P A f, M A f, M P A f, M 1 P P A f, M A f, M P A f, M p s2 s2 1 s s2 p 1 p p p2 p2 1 p p2 s where s s 1 s s s 1 s s p s 1 s s (8) f (, M) M (9) The equaon sn M M M M max 2 s used o solve for he angle of he oblque shock wave max correspondng o he maxmum urnng angle for gven Mach number upsream of he oblque shock wave. Snce max s obaned, M s1, P s1 /P s and P s1 /P s can be deermned. By applyng assumpon (9), hen Ps2 Ps2 P π s1 s, Ms1 Ps1 (11) P P P π, M P s s1 s s s2 s By assumpon (6), M s2 = 1.0, and applyng he mass conservaon equaon o he secondary flow beween saons and 2 12 (10) P q(, ) q(, ) P q(, ) A P W K A M K A M M q(, ) s s2 s2 s s s s s s s s s s2 s s2 Ts T A s s Ps2 s Ms2 where q(, M ) M 1 M Accordng o assumpon (9), P s2 = P s1, herefore, As2 Ps q( s, Ms ) A P q(,1.0) s s1 s The senropc area rao funcon s expressed as 1 2( 1) 2 1 M f 2, A Acr M 2 1 and he subscrp cr sands for he aerodynamc chokng condon. M (12) (13) (14) (15)

13 For a consan area ejecor, p p 2 p p Ap2 Ap A f s As2 2 p, M p2 (16) A A f, M The prmary Mach number a saon 2, M p2 s he supersonc soluon of eq.(16). Snce M p2 s obaned, by assumpon (5), hen P P p2 p p p2 π p, M p (17) π, M Combnng eq.(8), eq.(11), eq.(14), eq.(17), and wh M s2 = 1.0, M p2 s obaned by solvng eq.(16), ogeher wh he ejecor parameers p, s, M p, M s and A p /A s, hen he lmng pressure rao of he consan area supersonc-supersonc ejecor s found. Fgure 15 shows he comparson beween he calculaed by he presen model and he lm model proposed by Duon e al. and lm_ 01, whch are used as he benchmark o lm_ 02 esmae he precson of he heorecal value, are also gven n fg.15. I s observed from fg.15 ha he presen model gves a superor agreemen beween he calculaed and he expermenal lm compared o he model proposed by Duon e al. Whn he range of parameers lm_ 02 nvesgaed n he curren sudy, he calculaed by he presen model agrees well wh he lm expermenal, especally when he prmary Mach number s relavely hgh. However, he lm_ 02 calculaed by he presen model s sll 14-21% less han lm when M lm_ 01 p = 2.85, and 6-18% less han when M lm_ 01 p = 3.2. Ths dscrepancy may be caused by he smplfcaon of he complex and srong shock waves, and he gnorance of he complex physcal phenomena, such as mxng of he prmary and secondary flows, shock wave/mxng layer neracon, ec. Fgure 15. Comparson beween he heorecal and expermenal/numercal 4. Conclusons lm The neracons beween he prmary and secondary flow n a confned mxng duc have been nvesgaed expermenally and numercally, he physcal meanng of he pressure machng performance of he consan area supersonc-supersonc ejecor has been clarfed. Influences of he

14 prmary and secondary Mach numbers on he pressure machng performance of he ejecors have been examned, and he prmary flud njecon confguraon n ejecors has been suded as well. Based on he resuls of expermens and numercal smulaons, a smplfed analycal model has been proposed o predc he lmng pressure rao of he consan area supersonc-supersonc ejecor. From hese nvesgaons, we have come o he followng conclusons: (1) When he pressure rao of he prmary and secondary flows keeps near o he lmng condon, he complex shock wave srucures are generaed n he secondary flow, and hese shock waves mprove he pressure machng performance of he consan area supersonc-supersonc ejecor. (2) The lmng pressure rao of he consan area supersonc-supersonc ejecor ncreases wh he ncrease of he secondary Mach number, and hs lmng pressure rao decreases slghly wh he ncrease of he prmary Mach number. (3) The pressure machng performance of he cenral consan area supersonc-supersonc ejecor s lower han ha of he perpheral one, and hs s due o boundary layer separaon nduced by shock wave n he cenral supersonc-supersonc ejecor. (4) By nroducng a srong oblque shock wave no a prevous senropc compresson model, he gap beween he heorecal value of he lmng pressure rao and he expermenal one s reduced from 30-35% o approxmaely 10%. Acknowledgmen Ths work was suppored by he Naonal Naural Scence Foundaon of Chna (Gran No ). Also he auhors are ndebed o Dr. We HUANG for hs valuable suggesons when wrng hs paper. Nomenclaure A cross-seconal area,[m 2 ] V RT M Mach number(= 0.5 P T pressure, [Pa] emperaure, [K] R gas consan, [Jkg 1 K 1 ] V velocy, [ms 1 ] W mass flow rae, [kgs 1 ] Greek symbols ), [-] oblque shock wave angle, [ ] specfc hea rao, [-] pressure rao, [-] Subscrps, 1, 2 saon, 2 n fg.2 and saon, 1, 2 n fg.14 lm lmng condon

15 max p s maxmum value prmary secondary sagnaon condon Abbrevaons CASSE consan area supersonc-supersonc ejecor SSE supersonc-supersonc ejecor References [1] Kumaran, R. M., e al., Opmzaon of Second Throa Ejecors for Hgh-Alude Tes Facly, Journal of Propulson and Power, 25(2009), 3, pp [2] Nelson, K. W., Expermenal Invesgaon of an Ejecor Scramje RBCC a Mach 4.0 and 6.5 Smulaed Flgh Condons, Ph. D. hess, The Unversy of Alabama n Hunsvlle, Hunsvlle, USA, 2002 [3] Zhu, Y. H., e al., Numercal Invesgaon of Geomery Parameers for Desgn of Hgh Performance Ejecors. Appled Thermal Engneerng, 29(2009), pp [4] Snghal, G., e al., Pressure Recovery Sudes on a Supersonc COIL Wh Cenral Ejecor Confguraon, Opcs & Laser Technology, 42(2010), pp [5] Shwarz, J., Gerald, T. W., Joel, M. A., Taccal Hgh-Energy laser. Proceedngs (Basu, S., Rker, J. F.), Laser and Beam Conrol Technologes, San Jose, USA, 2002, Vol 4632, pp [6] Zme, E., Seady Sae and Transen Operaon of an Ejecor for a Chemcal Laser Cold Flow Mxng Expermen, Repor No. TR , Whe Oak Laboraory, MD., USA, 1976 [7] Gule, R. N., US Paen, , 1983 [8] Mkkelsen, C. D., Sandberg, M. R., Addy, A. L., Theorecal and Expermenal Analyss of he Consan-Area, Supersonc-Supersonc Ejecor. Repor No. UILU-ENG Unversy of Illnos a Urbana-Champagn, IL., USA, 1976 [9] Duon, J. C., Mkkelsen, C. D., Addy, A. L., A Theorecal and Expermenal Invesgaon of he Consan Area, Supersonc-Supersonc Ejecor, AIAA Journal, 20(1982), 10, pp [10] Dvorak, V., Safark, P., Supersonc Flow Srucure n he Enrance Par of a Mxng Chamber of 2D Model Ejecor. Journal of he Thermal Scence, 12(2003), 4, pp [11] Dvorak, V., Safark, P., Transonc Insably n Enrance Par of Mxng Chamber of Hgh-Speed Ejecor, Journal of Thermal Scence, 14(2005), 3, pp [12] Fluen Inc., Fluen 6.3 User s Gude, 2006 [13] Barosewcz, Y., e al., Numercal and Expermenal Invesgaons on Supersonc Ejecors, Inernaonal Journal of Hea and Flud Flow, 26(2005), pp [14] Srveerakul, T., Aphornraana, S., Chunnanond, K., Performance Predcon of Seam Ejecor Usng Compuaonal Flud Dynamcs: Par 1. Valdaon of he CFD Resuls, Inernaonal Journal of Thermal Scences, 46(2007), pp

16 Appendx fg.a. Calculaon flow char for deermnng he lmng pressure rao of he CASSE s llusraed n Fgure A. Flow char for deermnng he lmng pressure rao

Numerical Simulation of the Dispersion of a Plume of Exhaust Gases from Diesel and Petrol Engine Vehicles

Numerical Simulation of the Dispersion of a Plume of Exhaust Gases from Diesel and Petrol Engine Vehicles World Academy of Scence, Engneerng and Technology 67 01 Numercal Smulaon of he Dsperson of a Plume of Exhaus Gases from Desel and Perol Engne Vehcles H. ZAHLOUL, and M. MERIEM-BENZIANE Absrac The obecve

More information

EVALUATION OF FORCE COEFFICIENTS FOR A 2-D ANGLE SECTION USING REALIZABLE k-ε TURBULENCE MODEL

EVALUATION OF FORCE COEFFICIENTS FOR A 2-D ANGLE SECTION USING REALIZABLE k-ε TURBULENCE MODEL The Sevenh Asa-Pacfc Conference on Wnd Engneerng, November 8-, 009, Tape, Tawan EVALUATION OF FORCE COEFFICIENTS FOR A -D ANGLE SECTION USING REALIZABLE k-ε TURBULENCE MODEL S. Chra Ganapah, P. Harkrshna,

More information

Polymerization Technology Laboratory Course

Polymerization Technology Laboratory Course Prakkum Polymer Scence/Polymersaonsechnk Versuch Resdence Tme Dsrbuon Polymerzaon Technology Laboraory Course Resdence Tme Dsrbuon of Chemcal Reacors If molecules or elemens of a flud are akng dfferen

More information

Available online at Physics Procedia 32 (2012 )

Available online at   Physics Procedia 32 (2012 ) Avalable onlne a www.scencedrec.com Physcs Proceda 32 (2012 ) 614 622 18h Inernaonal Vacuum Congress, Beng of P. R. Chna, Augus 2010 Numercal research abou he nernal flow of seam-e vacuum pump: evaluaon

More information

Robustness Experiments with Two Variance Components

Robustness Experiments with Two Variance Components Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference

More information

Numerical simulation of a solar chimney power plant in the southern region of Iran

Numerical simulation of a solar chimney power plant in the southern region of Iran Energy Equp. Sys./ Vol. 5/No.4/December 2017/ 431-437 Energy Equpmen and Sysems hp://energyequpsys.u.ac.r www.energyequpsys.com Numercal smulaon of a solar chmney power plan n he souhern regon of Iran

More information

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,

More information

Transient Numerical of Piston Wind in Subway Station. Haitao Bao

Transient Numerical of Piston Wind in Subway Station. Haitao Bao Appled Mechancs and Maerals Submed: 2014-07-20 ISSN: 1662-7482, Vols. 644-650, pp 467-470 Acceped: 2014-07-21 do:10.4028/www.scenfc.ne/amm.644-650.467 Onlne: 2014-09-22 2014 Trans Tech Publcaons, Swzerland

More information

Numerical Studies on Lip Shock Flow Behaviors over Backward Facing Sharp Edge Step with Hybrid RANS-LES

Numerical Studies on Lip Shock Flow Behaviors over Backward Facing Sharp Edge Step with Hybrid RANS-LES Numercal Sudes on Lp Shock Flow Behavors over Backward Facng Sharp Edge Sep wh Hybrd RANS-LES Dr. Nrmal Kumar Kund 1 1 Deparmen of Producon Engneerng 1 Veer Surendra Sa Unversy of Technology, Burla, Odsha,

More information

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

More information

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon

More information

Variants of Pegasos. December 11, 2009

Variants of Pegasos. December 11, 2009 Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on

More information

NUMERICAL SIMULATION AND EXPERIMENTAL INVESTIGATION FOR INDOOR AIR ENVIRONMENT IN AN OFFICE ROOM

NUMERICAL SIMULATION AND EXPERIMENTAL INVESTIGATION FOR INDOOR AIR ENVIRONMENT IN AN OFFICE ROOM NUMERICAL SIMULATION AND EXPERIMENTAL INVESTIGATION FOR INDOOR AIR ENVIRONMENT IN AN OFFICE ROOM D. Xe 1, 2, H-Q. Wang 1,3, and J. Xong 2 1 School of Energy Scence and Engneerng, Cenral Souh Unversy, ChangSha,

More information

Anisotropic Behaviors and Its Application on Sheet Metal Stamping Processes

Anisotropic Behaviors and Its Application on Sheet Metal Stamping Processes Ansoropc Behavors and Is Applcaon on Shee Meal Sampng Processes Welong Hu ETA-Engneerng Technology Assocaes, Inc. 33 E. Maple oad, Sue 00 Troy, MI 48083 USA 48-79-300 whu@ea.com Jeanne He ETA-Engneerng

More information

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!) i+1,q - [(! ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure

More information

FTCS Solution to the Heat Equation

FTCS Solution to the Heat Equation FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence

More information

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae

More information

Time-interval analysis of β decay. V. Horvat and J. C. Hardy

Time-interval analysis of β decay. V. Horvat and J. C. Hardy Tme-nerval analyss of β decay V. Horva and J. C. Hardy Work on he even analyss of β decay [1] connued and resuled n he developmen of a novel mehod of bea-decay me-nerval analyss ha produces hghly accurae

More information

National Exams December 2015 NOTES: 04-BS-13, Biology. 3 hours duration

National Exams December 2015 NOTES: 04-BS-13, Biology. 3 hours duration Naonal Exams December 205 04-BS-3 Bology 3 hours duraon NOTES: f doub exss as o he nerpreaon of any queson he canddae s urged o subm wh he answer paper a clear saemen of any assumpons made 2 Ths s a CLOSED

More information

Multi-Fuel and Mixed-Mode IC Engine Combustion Simulation with a Detailed Chemistry Based Progress Variable Library Approach

Multi-Fuel and Mixed-Mode IC Engine Combustion Simulation with a Detailed Chemistry Based Progress Variable Library Approach Mul-Fuel and Med-Mode IC Engne Combuson Smulaon wh a Dealed Chemsry Based Progress Varable Lbrary Approach Conens Inroducon Approach Resuls Conclusons 2 Inroducon New Combuson Model- PVM-MF New Legslaons

More information

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2)

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2) Company LOGO THERMODYNAMICS The Frs Law and Oher Basc Conceps (par ) Deparmen of Chemcal Engneerng, Semarang Sae Unversy Dhon Harano S.T., M.T., M.Sc. Have you ever cooked? Equlbrum Equlbrum (con.) Equlbrum

More information

A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION

A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION S19 A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION by Xaojun YANG a,b, Yugu YANG a*, Carlo CATTANI c, and Mngzheng ZHU b a Sae Key Laboraory for Geomechancs and Deep Underground Engneerng, Chna Unversy

More information

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION THE 19 TH INTERNATIONAL ONFERENE ON OMPOSITE MATERIALS ELASTI MODULUS ESTIMATION OF HOPPED ARBON FIBER TAPE REINFORED THERMOPLASTIS USING THE MONTE ARLO SIMULATION Y. Sao 1*, J. Takahash 1, T. Masuo 1,

More information

Effect of a Vector Wall on the Thermal Field in a SRU Thermal Reactor

Effect of a Vector Wall on the Thermal Field in a SRU Thermal Reactor Effec of a Vecor Wall on he Thermal Feld n a SRU Thermal Reacor Chun-Lang Yeh and Tzu-Ch Chen Absrac The effecs of a vecor wall on he hermal feld n a SRU hermal reacor are nvesgaed numercally. The FLUENT

More information

Numerical Simulation on Supersonic Turbulent Flow past Backward Facing Rounded Step Utilizing Hybrid RANS-LES

Numerical Simulation on Supersonic Turbulent Flow past Backward Facing Rounded Step Utilizing Hybrid RANS-LES Numercal Smulaon on Supersonc Turbulen Flow pas Backward Facng Rounded Sep Ulzng Hybrd RANS-LES Absrac Dr. Nrmal Kumar Kund Assocae Professor, Deparmen of Producon Engneerng Veer Surendra Sa Unversy of

More information

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran

More information

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he

More information

This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore.

This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore. Ths documen s downloaded from DR-NTU, Nanyang Technologcal Unversy Lbrary, Sngapore. Tle A smplfed verb machng algorhm for word paron n vsual speech processng( Acceped verson ) Auhor(s) Foo, Say We; Yong,

More information

Motion in Two Dimensions

Motion in Two Dimensions Phys 1 Chaper 4 Moon n Two Dmensons adzyubenko@csub.edu hp://www.csub.edu/~adzyubenko 005, 014 A. Dzyubenko 004 Brooks/Cole 1 Dsplacemen as a Vecor The poson of an objec s descrbed by s poson ecor, r The

More information

Single-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method

Single-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method 10 h US Naonal Congress on Compuaonal Mechancs Columbus, Oho 16-19, 2009 Sngle-loop Sysem Relably-Based Desgn & Topology Opmzaon (SRBDO/SRBTO): A Marx-based Sysem Relably (MSR) Mehod Tam Nguyen, Junho

More information

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair TECHNI Inernaonal Journal of Compung Scence Communcaon Technologes VOL.5 NO. July 22 (ISSN 974-3375 erformance nalyss for a Nework havng Sby edundan Un wh ang n epar Jendra Sngh 2 abns orwal 2 Deparmen

More information

P R = P 0. The system is shown on the next figure:

P R = P 0. The system is shown on the next figure: TPG460 Reservor Smulaon 08 page of INTRODUCTION TO RESERVOIR SIMULATION Analycal and numercal soluons of smple one-dmensonal, one-phase flow equaons As an nroducon o reservor smulaon, we wll revew he smples

More information

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5 TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres

More information

( ) () we define the interaction representation by the unitary transformation () = ()

( ) () we define the interaction representation by the unitary transformation () = () Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger

More information

Relative controllability of nonlinear systems with delays in control

Relative controllability of nonlinear systems with delays in control Relave conrollably o nonlnear sysems wh delays n conrol Jerzy Klamka Insue o Conrol Engneerng, Slesan Techncal Unversy, 44- Glwce, Poland. phone/ax : 48 32 37227, {jklamka}@a.polsl.glwce.pl Keywor: Conrollably.

More information

Cubic Bezier Homotopy Function for Solving Exponential Equations

Cubic Bezier Homotopy Function for Solving Exponential Equations Penerb Journal of Advanced Research n Compung and Applcaons ISSN (onlne: 46-97 Vol. 4, No.. Pages -8, 6 omoopy Funcon for Solvng Eponenal Equaons S. S. Raml *,,. Mohamad Nor,a, N. S. Saharzan,b and M.

More information

EFFECT OF HEAT FLUX RATIO FROM BOTH SIDE-WALLS ON THERMAL- FLUID FLOW IN CHANNEL

EFFECT OF HEAT FLUX RATIO FROM BOTH SIDE-WALLS ON THERMAL- FLUID FLOW IN CHANNEL 8h AIAA/ASME Jon Thermophyscs and Hea Transfer Conference 4-6 June 00, S. Lous, Mssour AIAA-00-873 00-873 EFFECT OF HEAT FLUX RATIO FROM BOTH SIDE-WALLS ON THERMAL- FLUID FLOW IN CHANNEL SHUICHI TORII

More information

On computing differential transform of nonlinear non-autonomous functions and its applications

On computing differential transform of nonlinear non-autonomous functions and its applications On compung dfferenal ransform of nonlnear non-auonomous funcons and s applcaons Essam. R. El-Zahar, and Abdelhalm Ebad Deparmen of Mahemacs, Faculy of Scences and Humanes, Prnce Saam Bn Abdulazz Unversy,

More information

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes. umercal negraon of he dffuson equaon (I) Fne dfference mehod. Spaal screaon. Inernal nodes. R L V For hermal conducon le s dscree he spaal doman no small fne spans, =,,: Balance of parcles for an nernal

More information

II. Light is a Ray (Geometrical Optics)

II. Light is a Ray (Geometrical Optics) II Lgh s a Ray (Geomercal Opcs) IIB Reflecon and Refracon Hero s Prncple of Leas Dsance Law of Reflecon Hero of Aleandra, who lved n he 2 nd cenury BC, posulaed he followng prncple: Prncple of Leas Dsance:

More information

Stochastic Repair and Replacement with a single repair channel

Stochastic Repair and Replacement with a single repair channel Sochasc Repar and Replacemen wh a sngle repar channel MOHAMMED A. HAJEEH Techno-Economcs Dvson Kuwa Insue for Scenfc Research P.O. Box 4885; Safa-309, KUWAIT mhajeeh@s.edu.w hp://www.sr.edu.w Absrac: Sysems

More information

New M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study)

New M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study) Inernaonal Mahemacal Forum, Vol. 8, 3, no., 7 - HIKARI Ld, www.m-hkar.com hp://dx.do.org/.988/mf.3.3488 New M-Esmaor Objecve Funcon n Smulaneous Equaons Model (A Comparave Sudy) Ahmed H. Youssef Professor

More information

Bernoulli process with 282 ky periodicity is detected in the R-N reversals of the earth s magnetic field

Bernoulli process with 282 ky periodicity is detected in the R-N reversals of the earth s magnetic field Submed o: Suden Essay Awards n Magnecs Bernoull process wh 8 ky perodcy s deeced n he R-N reversals of he earh s magnec feld Jozsef Gara Deparmen of Earh Scences Florda Inernaonal Unversy Unversy Park,

More information

Comparison of Differences between Power Means 1

Comparison of Differences between Power Means 1 In. Journal of Mah. Analyss, Vol. 7, 203, no., 5-55 Comparson of Dfferences beween Power Means Chang-An Tan, Guanghua Sh and Fe Zuo College of Mahemacs and Informaon Scence Henan Normal Unversy, 453007,

More information

TSS = SST + SSE An orthogonal partition of the total SS

TSS = SST + SSE An orthogonal partition of the total SS ANOVA: Topc 4. Orhogonal conrass [ST&D p. 183] H 0 : µ 1 = µ =... = µ H 1 : The mean of a leas one reamen group s dfferen To es hs hypohess, a basc ANOVA allocaes he varaon among reamen means (SST) equally

More information

Outline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model

Outline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model Probablsc Model for Tme-seres Daa: Hdden Markov Model Hrosh Mamsuka Bonformacs Cener Kyoo Unversy Oulne Three Problems for probablsc models n machne learnng. Compung lkelhood 2. Learnng 3. Parsng (predcon

More information

Scattering at an Interface: Oblique Incidence

Scattering at an Interface: Oblique Incidence Course Insrucor Dr. Raymond C. Rumpf Offce: A 337 Phone: (915) 747 6958 E Mal: rcrumpf@uep.edu EE 4347 Appled Elecromagnecs Topc 3g Scaerng a an Inerface: Oblque Incdence Scaerng These Oblque noes may

More information

CS286.2 Lecture 14: Quantum de Finetti Theorems II

CS286.2 Lecture 14: Quantum de Finetti Theorems II CS286.2 Lecure 14: Quanum de Fne Theorems II Scrbe: Mara Okounkova 1 Saemen of he heorem Recall he las saemen of he quanum de Fne heorem from he prevous lecure. Theorem 1 Quanum de Fne). Le ρ Dens C 2

More information

A Paper presentation on. Department of Hydrology, Indian Institute of Technology, Roorkee

A Paper presentation on. Department of Hydrology, Indian Institute of Technology, Roorkee A Paper presenaon on EXPERIMENTAL INVESTIGATION OF RAINFALL RUNOFF PROCESS by Ank Cakravar M.K.Jan Kapl Rola Deparmen of Hydrology, Indan Insue of Tecnology, Roorkee-247667 Inroducon Ranfall-runoff processes

More information

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal

More information

Volatility Interpolation

Volatility Interpolation Volaly Inerpolaon Prelmnary Verson March 00 Jesper Andreasen and Bran Huge Danse Mares, Copenhagen wan.daddy@danseban.com brno@danseban.com Elecronc copy avalable a: hp://ssrn.com/absrac=69497 Inro Local

More information

Diffusion of Heptane in Polyethylene Vinyl Acetate: Modelisation and Experimentation

Diffusion of Heptane in Polyethylene Vinyl Acetate: Modelisation and Experimentation IOSR Journal of Appled hemsry (IOSR-JA) e-issn: 78-5736.Volume 7, Issue 6 Ver. I. (Jun. 4), PP 8-86 Dffuson of Hepane n Polyehylene Vnyl Aceae: odelsaon and Expermenaon Rachd Aman *, Façal oubarak, hammed

More information

Robust and Accurate Cancer Classification with Gene Expression Profiling

Robust and Accurate Cancer Classification with Gene Expression Profiling Robus and Accurae Cancer Classfcaon wh Gene Expresson Proflng (Compuaonal ysems Bology, 2005) Auhor: Hafeng L, Keshu Zhang, ao Jang Oulne Background LDA (lnear dscrmnan analyss) and small sample sze problem

More information

FI 3103 Quantum Physics

FI 3103 Quantum Physics /9/4 FI 33 Quanum Physcs Aleander A. Iskandar Physcs of Magnesm and Phooncs Research Grou Insu Teknolog Bandung Basc Conces n Quanum Physcs Probably and Eecaon Value Hesenberg Uncerany Prncle Wave Funcon

More information

Computing Relevance, Similarity: The Vector Space Model

Computing Relevance, Similarity: The Vector Space Model Compung Relevance, Smlary: The Vecor Space Model Based on Larson and Hears s sldes a UC-Bereley hp://.sms.bereley.edu/courses/s0/f00/ aabase Managemen Sysems, R. Ramarshnan ocumen Vecors v ocumens are

More information

On One Analytic Method of. Constructing Program Controls

On One Analytic Method of. Constructing Program Controls Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna

More information

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current :

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current : . A. IUITS Synopss : GOWTH OF UNT IN IUIT : d. When swch S s closed a =; = d. A me, curren = e 3. The consan / has dmensons of me and s called he nducve me consan ( τ ) of he crcu. 4. = τ; =.63, n one

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4 CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped

More information

2.1 Constitutive Theory

2.1 Constitutive Theory Secon.. Consuve Theory.. Consuve Equaons Governng Equaons The equaons governng he behavour of maerals are (n he spaal form) dρ v & ρ + ρdv v = + ρ = Conservaon of Mass (..a) d x σ j dv dvσ + b = ρ v& +

More information

Math 128b Project. Jude Yuen

Math 128b Project. Jude Yuen Mah 8b Proec Jude Yuen . Inroducon Le { Z } be a sequence of observed ndependen vecor varables. If he elemens of Z have a on normal dsrbuon hen { Z } has a mean vecor Z and a varancecovarance marx z. Geomercally

More information

HEAT FLUX MEASUREMENT OF URBAN BOUNDARY LAYERS IN KYOTO CITY AND ITS PREDICTION BY CFD SIMULATION

HEAT FLUX MEASUREMENT OF URBAN BOUNDARY LAYERS IN KYOTO CITY AND ITS PREDICTION BY CFD SIMULATION EAT FLUX MEASUREMENT OF URBAN BOUNDARY LAYERS IN KYOTO CITY AND ITS PREDICTION BY CFD SIMULATION Kazuya Takahash 1, arunor Yoshda 2, Yuzo Tanaka 3, Norko Aoake 1 and Fuln Wang 1 Eghh Inernaonal IBPSA Conference

More information

PHYS 1443 Section 001 Lecture #4

PHYS 1443 Section 001 Lecture #4 PHYS 1443 Secon 001 Lecure #4 Monda, June 5, 006 Moon n Two Dmensons Moon under consan acceleraon Projecle Moon Mamum ranges and heghs Reerence Frames and relae moon Newon s Laws o Moon Force Newon s Law

More information

Sampling Procedure of the Sum of two Binary Markov Process Realizations

Sampling Procedure of the Sum of two Binary Markov Process Realizations Samplng Procedure of he Sum of wo Bnary Markov Process Realzaons YURY GORITSKIY Dep. of Mahemacal Modelng of Moscow Power Insue (Techncal Unversy), Moscow, RUSSIA, E-mal: gorsky@yandex.ru VLADIMIR KAZAKOV

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm H ( q, p, ) = q p L( q, q, ) H p = q H q = p H = L Equvalen o Lagrangan formalsm Smpler, bu

More information

Department of Economics University of Toronto

Department of Economics University of Toronto Deparmen of Economcs Unversy of Torono ECO408F M.A. Economercs Lecure Noes on Heeroskedascy Heeroskedascy o Ths lecure nvolves lookng a modfcaons we need o make o deal wh he regresson model when some of

More information

Transcription: Messenger RNA, mrna, is produced and transported to Ribosomes

Transcription: Messenger RNA, mrna, is produced and transported to Ribosomes Quanave Cenral Dogma I Reference hp//book.bonumbers.org Inaon ranscrpon RNA polymerase and ranscrpon Facor (F) s bnds o promoer regon of DNA ranscrpon Meenger RNA, mrna, s produced and ranspored o Rbosomes

More information

COLD GAS ANALYSIS OF A WASTE-GAS INCINERATOR TO ENHANCE MIXING CAPABILITIES USING CFD

COLD GAS ANALYSIS OF A WASTE-GAS INCINERATOR TO ENHANCE MIXING CAPABILITIES USING CFD HEFAT2014 10 h Inernaonal Conference on Hea Transfer, Flud Mechancs and Thermodynamcs 14 26 July 2014 Orlando, Florda COLD GAS ANALSIS OF A WASTE-GAS INCINERATOR TO ENHANCE MIING CAPABILITIES USING CFD

More information

On the turbulence models and turbulent Schmidt number in simulating stratified flows

On the turbulence models and turbulent Schmidt number in simulating stratified flows Sh, Z., Chen, J., and Chen, Q. 015. On he urbulence models and urbulen Schmd number n smulang srafed flows, Acceped by Journal of Buldng Performance Smulaon. On he urbulence models and urbulen Schmd number

More information

Measurement of liquid holdup and axial dispersion in trickle bed reactors using radiotracer technique

Measurement of liquid holdup and axial dispersion in trickle bed reactors using radiotracer technique NUKLEONIKA ;45(4):35 41 ORIGINAL PAPER Measuremen of lqud holdup and axal dsperson n rckle bed reacors usng radoracer echnque Harsh Jaga Pan, Anl Kumar Saroha, Krshna Deo Prasad Ngam Absrac The holdup

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm Hqp (,,) = qp Lqq (,,) H p = q H q = p H L = Equvalen o Lagrangan formalsm Smpler, bu wce as

More information

12d Model. Civil and Surveying Software. Drainage Analysis Module Detention/Retention Basins. Owen Thornton BE (Mech), 12d Model Programmer

12d Model. Civil and Surveying Software. Drainage Analysis Module Detention/Retention Basins. Owen Thornton BE (Mech), 12d Model Programmer d Model Cvl and Surveyng Soware Dranage Analyss Module Deenon/Reenon Basns Owen Thornon BE (Mech), d Model Programmer owen.hornon@d.com 4 January 007 Revsed: 04 Aprl 007 9 February 008 (8Cp) Ths documen

More information

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005 Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc

More information

Computer modelling of technogenic thermal pollution zones in large water bodies

Computer modelling of technogenic thermal pollution zones in large water bodies Journal of Physcs: Conference Seres PAPER OPEN ACCESS Compuer modellng of echnogenc hermal polluon zones n large waer bodes To ce hs arcle: Ya N Parshakova and T P Lyubmova 218 J. Phys.: Conf. Ser. 955

More information

Reactive Methods to Solve the Berth AllocationProblem with Stochastic Arrival and Handling Times

Reactive Methods to Solve the Berth AllocationProblem with Stochastic Arrival and Handling Times Reacve Mehods o Solve he Berh AllocaonProblem wh Sochasc Arrval and Handlng Tmes Nsh Umang* Mchel Berlare* * TRANSP-OR, Ecole Polyechnque Fédérale de Lausanne Frs Workshop on Large Scale Opmzaon November

More information

First-order piecewise-linear dynamic circuits

First-order piecewise-linear dynamic circuits Frs-order pecewse-lnear dynamc crcus. Fndng he soluon We wll sudy rs-order dynamc crcus composed o a nonlnear resse one-por, ermnaed eher by a lnear capacor or a lnear nducor (see Fg.. Nonlnear resse one-por

More information

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal

More information

Dual Approximate Dynamic Programming for Large Scale Hydro Valleys

Dual Approximate Dynamic Programming for Large Scale Hydro Valleys Dual Approxmae Dynamc Programmng for Large Scale Hydro Valleys Perre Carpener and Jean-Phlppe Chanceler 1 ENSTA ParsTech and ENPC ParsTech CMM Workshop, January 2016 1 Jon work wh J.-C. Alas, suppored

More information

Response of MDOF systems

Response of MDOF systems Response of MDOF syses Degree of freedo DOF: he nu nuber of ndependen coordnaes requred o deerne copleely he posons of all pars of a syse a any nsan of e. wo DOF syses hree DOF syses he noral ode analyss

More information

Bayes rule for a classification problem INF Discriminant functions for the normal density. Euclidean distance. Mahalanobis distance

Bayes rule for a classification problem INF Discriminant functions for the normal density. Euclidean distance. Mahalanobis distance INF 43 3.. Repeon Anne Solberg (anne@f.uo.no Bayes rule for a classfcaon problem Suppose we have J, =,...J classes. s he class label for a pxel, and x s he observed feaure vecor. We can use Bayes rule

More information

Multiphase CFD Modeling of Trickle-Bed Reactor Hydrodynamics

Multiphase CFD Modeling of Trickle-Bed Reactor Hydrodynamics Proceedngs of he World Congress on Engneerng and Compuer Scence 2007 WCECS 2007, Ocober 24-26, 2007, San Francsco, USA Mulphase CFD Modelng of Trckle-Bed Reacor Hydrodynamcs Rodrgo J.G. Lopes and Rosa

More information

Density Matrix Description of NMR BCMB/CHEM 8190

Density Matrix Description of NMR BCMB/CHEM 8190 Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon If we say wh one bass se, properes vary only because of changes n he coeffcens weghng each bass se funcon x = h< Ix > - hs s how we calculae

More information

Experimental and Numerical Investigation of Temperature Distribution in Room with Displacement Ventilation

Experimental and Numerical Investigation of Temperature Distribution in Room with Displacement Ventilation Expermenal and Numercal Invesgaon of Temperaure Dsrbuon n Room wh Dsplacemen Venlaon PETER STANKOV, Professor, Deparmen of Hydroaerodynamcs and Hydraulc Machnes, Techncal Unversy of Sofa, Bulgara JORDAN

More information

Epistemic Game Theory: Online Appendix

Epistemic Game Theory: Online Appendix Epsemc Game Theory: Onlne Appendx Edde Dekel Lucano Pomao Marcano Snscalch July 18, 2014 Prelmnares Fx a fne ype srucure T I, S, T, β I and a probably µ S T. Le T µ I, S, T µ, βµ I be a ype srucure ha

More information

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class

More information

5th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2015)

5th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2015) 5h Inernaonal onference on Advanced Desgn and Manufacurng Engneerng (IADME 5 The Falure Rae Expermenal Sudy of Specal N Machne Tool hunshan He, a, *, La Pan,b and Bng Hu 3,c,,3 ollege of Mechancal and

More information

Density Matrix Description of NMR BCMB/CHEM 8190

Density Matrix Description of NMR BCMB/CHEM 8190 Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon Alernae approach o second order specra: ask abou x magnezaon nsead of energes and ranson probables. If we say wh one bass se, properes vary

More information

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria IOSR Journal of Mahemacs (IOSR-JM e-issn: 78-578, p-issn: 9-765X. Volume 0, Issue 4 Ver. IV (Jul-Aug. 04, PP 40-44 Mulple SolonSoluons for a (+-dmensonalhroa-sasuma shallow waer wave equaon UsngPanlevé-Bӓclund

More information

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL Sco Wsdom, John Hershey 2, Jonahan Le Roux 2, and Shnj Waanabe 2 Deparmen o Elecrcal Engneerng, Unversy o Washngon, Seale, WA, USA

More information

Chapter Lagrangian Interpolation

Chapter Lagrangian Interpolation Chaper 5.4 agrangan Inerpolaon Afer readng hs chaper you should be able o:. dere agrangan mehod of nerpolaon. sole problems usng agrangan mehod of nerpolaon and. use agrangan nerpolans o fnd deraes and

More information

ISSN MIT Publications

ISSN MIT Publications MIT Inernaonal Journal of Elecrcal and Insrumenaon Engneerng Vol. 1, No. 2, Aug 2011, pp 93-98 93 ISSN 2230-7656 MIT Publcaons A New Approach for Solvng Economc Load Dspach Problem Ansh Ahmad Dep. of Elecrcal

More information

An introduction to Support Vector Machine

An introduction to Support Vector Machine An nroducon o Suppor Vecor Machne 報告者 : 黃立德 References: Smon Haykn, "Neural Neworks: a comprehensve foundaon, second edon, 999, Chaper 2,6 Nello Chrsann, John Shawe-Tayer, An Inroducon o Suppor Vecor Machnes,

More information

Robustness of DEWMA versus EWMA Control Charts to Non-Normal Processes

Robustness of DEWMA versus EWMA Control Charts to Non-Normal Processes Journal of Modern Appled Sascal Mehods Volume Issue Arcle 8 5--3 Robusness of D versus Conrol Chars o Non- Processes Saad Saeed Alkahan Performance Measuremen Cener of Governmen Agences, Insue of Publc

More information

Appendix to Online Clustering with Experts

Appendix to Online Clustering with Experts A Appendx o Onlne Cluserng wh Expers Furher dscusson of expermens. Here we furher dscuss expermenal resuls repored n he paper. Ineresngly, we observe ha OCE (and n parcular Learn- ) racks he bes exper

More information

19 th INTERNATIONAL CONGRESS ON ACOUSTICS MADRID, 2-7 SEPTEMBER 2007

19 th INTERNATIONAL CONGRESS ON ACOUSTICS MADRID, 2-7 SEPTEMBER 2007 9 h INTERNATIONAL CONGRESS ON ACOUSTICS MADRID -7 SEPTEMBER 7 SOUND INSULATION CHARACTERISTICS OF A MICROPERFORATED PANEL ITH A SUBDIVIDED AIR LAYER PACS:.55.T Toyoda Masahro ; Daj Takahash B Kyoo Unv.

More information

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov June 7 e-ournal Relably: Theory& Applcaons No (Vol. CONFIDENCE INTERVALS ASSOCIATED WITH PERFORMANCE ANALYSIS OF SYMMETRIC LARGE CLOSED CLIENT/SERVER COMPUTER NETWORKS Absrac Vyacheslav Abramov School

More information

Mist/air Cooling in a Two-Pass Rectangular Rotating Channel with 45-deg Angled Rib Turbulators

Mist/air Cooling in a Two-Pass Rectangular Rotating Channel with 45-deg Angled Rib Turbulators Proceedngs of Turbo Expo 11 GT11 June -1, 11, Vancouver, DC, Canada Ms/ar Coolng n a Two-Pass Recangular Roang Channel wh -deg Angled Rb Turbulaors GT11-9 T. S. Dhanasearan and Tng Wang Energy Converson

More information

( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model

( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model BGC1: Survval and even hsory analyss Oslo, March-May 212 Monday May 7h and Tuesday May 8h The addve regresson model Ørnulf Borgan Deparmen of Mahemacs Unversy of Oslo Oulne of program: Recapulaon Counng

More information

Chapter 6: AC Circuits

Chapter 6: AC Circuits Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.

More information

Molecular Dynamics Simulation Study forgtransport Properties of Diatomic Liquids

Molecular Dynamics Simulation Study forgtransport Properties of Diatomic Liquids NpT EMD Smulaons of Daomc Lquds Bull. Korean Chem. Soc. 7, ol. 8, No. 697 Molecular Dynamcs Smulaon Sudy forgtranspor Properes of Daomc Lquds Song H Lee Deparmen of Chemsry, Kyungsung Unversy, Busan 68-736,

More information