ISSN MECHANIKA Volume 22(2):

Size: px
Start display at page:

Download "ISSN MECHANIKA Volume 22(2):"

Transcription

1 9 ISSN 97. MECHANIKA. Voue (): 9 Modeng of het nd ss trnsfer proesses n phse trnsforton ye of spryed wter nto gs:. Ther stte nyss of dropet sppng n hud r fow G. Musks M. Mzukenė A. Bčus J. Gudznsks Kuns Unversty of Tehnoogy Studentų LT- Kuns Lthun E-: g@ktu.t onk.zukene@ktu.t gnts.us@ktu.t juozs.gudznsks@ktu.t Noenture - ther dffusvty /s; p - ss spef het J/(kg K); - urer nuer; g - evporton veoty kg/s; L - tent het of evporton J/kg; - vpour ss fux kg/( s); p - pressure P; - het fux W/ ; r - rd oordnte ; Pe - Peet nuer; T - teperture; λ - ther ondutvty W/( K); - oeur ss kg/ko; - densty kg/ ; - te; w - veoty /s; susrpts C - dropet entre; o - ondenston; - onveton; e - evporton; f - phse hnge; g - gs; - te ndex n dgt shee; t - nuer of terton; I - ndex of ontro te; j - ndex of rd oordnte; J - ndex of dropet surfe; k - onduton; k+r - onduton nd rdton; - ud; - ss verge; η - non-denson rd oordnte; r - rdton; - dropet surfe; v - vpor; vg - gs-vpor xture; - nt stte; - fr fro dropet; supersrpts + - extern sde of dropet surfe; - ntern sde of dropet surfe.. Introduton Hot gses tht re produed n orgn sod gsfton proess s effetvey ooed down y wter njeton nto trnsportton systes ondtoned r ouston proess s ontroed nd ented fues preters. r enton-ove nd other wter spryed ppton ses ther energy onsuptons s portnt for proeedng phse trnsfortons on the dropet surfe nd for ud hetng n the dropet. Therefore reserhes of wter dropets het trnsfer nd evporton [-7] s we vpour ondenston on ts surfe [8-] s reevnt. The hnge of gs xture oposton tht rry out dropets s used y ongong phse trnstons on the surfe of the dropet nd teperture vrtons re defned y dropet het trnsfer proesses. Het fow tht s provded y the gs stutes ud evporton fro dropet surfe nd so wrs ud n dropet. Lud wrng rte s defned y ntensty of het offtke to dropet. In oned hetng se the het s eng provded y onveton nd rdton: r. Het sup- pyng for dropets y onveton nd rdton hs ts own peurtes tht s defned y trnsfer proess nture. A fowng round fud provdes het for the surfe y onveton whe t se-trnsprent dropet rdton het s provded y sorng eetrognet wves of ght n the nfrred spetru. Therefore the rdton het wrth the ud n the dropet drety nd extern onveton het fro dropet surfe ust e eded off nsde the dropet y ntern het exhnge. Therefore tot het fow densty of dropet r defnes fud hetng ntensty. Se-trnsprent uds sors spetr rdton y surfe poory [] so ssupton s popur. A onvetve oponent r r of tot het fow s defned y dropet ruton nd het ondutvty proesses. Intern yers of dropet re heted uneveny therefore dropet ther stte s desred y vre funton T(x y z τ) n te nd spe. A dropet unstedy teperture fed s desred y te nd rd oordnte funton T(r τ) n sphery syetr hetng ssupton se. A ther stte of non-sother dropet s defned y ss verge teperture funton of dropet: T r r T r. () r r dr A dropet hetng ondtons n gs fow [] hs strong pt for peurtes of dropet unstedy teperture funton T(r τ). When extern hetng provdes het spred y rdton nd ondutvty funton T(r τ) s defned ordng to ntegr type ode [7] tht s onvenent for nuer odeng. Then het tht s eded off to the dropet s desred y urer s ow. In se of onvetve hetng dropet sps n gs fow nd frton fores rses on dropet surfe. On ther pt ud s rutng nd ntensfes ntern het trnsfer. In se of fored ud ruton t the dropet ts ther stte s desred y energy nd Nver-Stokes euton syste. The tter nyt souton s not posse nd the nuer souton s opted []. Therefore nuer shee of onveton het fow n dropet woud e susepte for hne oputng nd woud opte tertve ethod ppton wherey dropet surfe teperture defnton s sed on. To defne unstedy teperture fed funton T (η τ) T (η τ) n se of sppng dropet s ute dffut. In ths work sppng dropet ther stte defnng ethodoogy s deveoped nd sppng ntensty pt for wter dropet wrng n hud r fow s so nysed. dr

2 97. eserh ethod nd resuts r dropet ther stte defnton the onedenson effetve ondutvty epr ode s provded [] nd het trnsfer y onduton nd rdton n the dropet ntegr odes [7]. To defne dropet surfe teperture te funton T (τ) ne of fuxes tht fows n nd off on the surfe of dropet s provded. Ths s defned y expressons () nd () for ondensng nd evporton reges respetvey. p v =. nd nysed n urer te se = / Prry dropet sppng n hud r hs sgnfnt pt for uted ther ondutvty preter tht defnes wter ruton ntensty n dropet (Fg. ). k... ; () f o. () f e At expressons () nd () potent rdton fow sorpton y dropet surfe s dened. Extern onvetve het fow s desred y the ethod [ ]. Phse trnsforton fow on the surfe of the dropet s desred y wter vpour fow densty f v L whe for onvetve het fow desrpton tht s eded to dropet odfed urer ow s pped: k T r. () r r At opound hetng se y ondutvty nd rdton n unstedy teperture fed grdent s desred y nfnte ntegr eutons seres [7]: dt T r n r d r n p n r n r n r sn os r dr n exp d. Lud ruton potent nput to ne of het spred n dropet s evuted y effetve het ondutvty preter where t expresson () Peet nuer s defned ordng to ud fow xu veoty w : Pe = ρ w / μ [] on the surfe of dropet. Ths fow s used y frton fores. n () Pe k.8.8tnh. g. () Itertve nuer shee s de fro expnded () nd () expressons. A dropet surfe te funton T (τ) defnton of ths shee s ppe for dropet hetng ses. However t ust e reeer tht surfe teperture funton T (τ) defnes ony rgn vue of unstedy teperture fed T(r ) funton of dropet T(r ) = T (). Therefore o teperture T(r < ) ordng to dsussed ethodoogy n e defned ony t ssupton of ste ud t the dropet. In hud r sppng wter dropet phse trnsforton ye s odeed ordng to oundry ondtons T g = K p =. MP =.7 T = 78 K Fg. Dropet prry sppng n r fow pt for effetve ther ondutvty preter. e : 8; / o " k" A pont tht defnes eynods nuer nt vue (Fg. ) so shows phse trnsfortons of ondensng rege retve durton n spet of dropet hetng y onduton. It s ery seen tht ondenston rege te nreses nd onveton het trnsforton t the dropet s ore prevent f dropet sps ore ntensvey. Wter ruton ntensty s senstve for dropet sppng nd dspersty. A dropet growth n ondenston rege s sute ftor for ruton n t whe dropet sppng wekenng s ftor tht redues wter ruton n dropet. At the egnnng of ondensng rege n ntensfton of onveton het trnsfer oserves (Fg. ). Ths ens tht for soe te dropet growth ftor tht s fvoure for dropet ruton s stronger thn sppng wekenng ftor tht repress ruton. At oth ftors nng pont k extree pont oserves n funton grphs (Fg. ) fter whh the wter ruton onsstenty suffotes n the dropet. The dropet nt sppng sgnfnty nfuenes the dropet surfe wrng proess (Fg. ). The dropet nt sppng sgnfnty nfuenes the dropet surfe wrng proess (Fg. ). In unstedy phse trnsforton rege dropet surfe hets up rpdy (Fg. ) however wrng rte onsstenty suffotes unt eoes zero t fn stge of unstedy evporton (Fg. ). In euru evporton rege teperture of dropet hetng y ondutvty s stedy. A sppng dropet teperture dereses t euru evporton rege (Fg. ): t the egnnng of euru evporton dropet oong down even eertes however t rpdy rehes xu oong down rte nd fter tht s onsstenty wekenng (Fg. ). Therefore t euru evporton proess when dropet sppng redues pprohng to ther stte of dropet heted y ondutvty s gettng oser (Fg. ). Deeper nner y-

3 98 ers hetng proess nyss s reured to defne sppng dropet ther stte. A dropet sppng uses onveton "" het trnsfer n theren. Its ntensty s defned y o het fow densty funton T 9 (r τ). desrpton nsde dropet: F grd T " " " " " k ". (7) Lo teperture grdent s desred y ntegr euton: T r n n r n r os r n r r n n dt exp d. n d Condton r s pped for expresson (8) nd teperture grdent s defned for eded off onveton het fow desrpton t the dropet () n expresson (Fg. ). (8) 8 7 T 7... T K s Fg. Dropet prry sppng n r fow pt for surfe teperture: - unstedy phse trnsforton rege; - unstedy evporton fn nd euru evporton prry sttes. e : 8 The tter s dffut to desre due to ft tht dropet deter s hngng t phse trnsforton ye. Therefore densoness rd oordnte η = r / () of dropet s ntrodued. By ts spet dropet densoness rdus s unvers euse ts unt vue rens n dropet phse trnsforton ye o nf f. It s onvenent for dropet unstedy teperture fed T η () o grdent grdt η () nd o onveton het fow densty " " () funtons desrpton. It s ssued tht funton F " " defned y effetve ther ondutvty o preters s exstng. Effetve ther hetng ondutvty theory s pped for onvetve trnsfer ntensty T K s Fg. Dropet prry sppng n r fow pt for ts surfe wrng rte: - unstedy phse trnsforton rege; - unstedy evporton fn nd euru evporton prry sttes. e : 8; T ( T T ) / T ; F o

4 99 oposte onvetve ondutve fud: A onveton het o fow densty funton s " " " " k " " (). It s reted fro oponents of () tht s used y ruton nd () tht s defned y het ondutvty. (9) " " " " k " " Het ondutvty oponent of dropet s defned y het ondutvty urer ow t (9) expresson: grdt grdt k " " " " r " k ". ().. Fg. Dropet prry sppng n r fow pt for teperture grdent tht s uted ordng to ste ud ode nsde the dropet. e : 8 Conveton het fow oponent tht s used y ud ruton n the dropet n e defned ordng to dfferene of o onveton het fow nd ts ondutvty oponent: grdt grdt " " " " k " " " " F.() " k " " " It s ssued tht t unstedy teperture fed n o grdent " k" nd "" het exhnge ses proporton of the effetve ther ondutvty s: grd T grdt K " k " " " F " ". () Then onveton het fow oponent tht s used y ud ruton n the dropet s defned ordng to expresson: " " F " " " k ". () F " " In odeed phse trnsforton ye te hnge step Δ I / (I-) s defned y provdng fnte nuer of ontro ponts n free hosen urer nuer hngng nterv I. Provdng fnte J nuer of ontro ponts unt rdus of dropet s dvded to J- nterv Δη j / (J-). Preserved ondtons: ; I I kon J J. j j j j j () When defnng teperture fed grdent n dropet y teperture dfferene nd rd oordnte hnge rto grdt j " " T j " " T j " " / j j dropet o teperture when wter rutes n t n e defned y shee: T T j " " J " " grdt grdt J j " " j " " j j. () j A strong nd ner reedng ruton ses n dropet s provded for preter funton defnton. In se of strong ruton: j k " " " " F F. () At se of ner reedng wter ruton nsde the dropet the funton shee: F " " () s defned ordng to j F k " ". (7) j J A Modeed dropet sppng reges n r fow s defned y freey hosen eynods nuer e t nterv e. At eh se I = nd J = whe urer rter I s euted for rteron o tht defnes phse trnsforton rege durton I = o(e ) [7]. Up to urer te steps Δ s de n phse trnsforton ye. Te Het fow denstys on the surfe of dropet kw/ e f o ; o f o ; nf f nf ; nf A dropet energy stte s defned y extern onvetve het Q f nd ntern onvetve het Q phse trnsforton het Q fows. Ther uted denstes

5 f nd t the egnnng of phse trnsforton rege nd ondensng rege hnge to evporton rege s we t euru evporton egnnng oents for dfferent e vues s gven n Te. Intern onveton het fow Q spreds y het ondutvty nd s trnsferred y rutng wter n dropet. Therefore ntern het fow ntensty s defned y () nd () expresson whh s desred y onduton nd onveton het fow oponents k " " " " densty oponents re gven n Te. kw. Intern onveton het fow Cuted o het fow spred n dropet depends fro pped ode of het exhnge n the dropet (Fg. ). Het trnsfer ode nfuene s rghtest n ondenston phse trnsforton rege where dropet sppng s the ost ntensve. Te Intern onveton het fow densty nd ts ondutvty nd onveton oponents kw/ k " " " " o k " " o " " o e " k " " " kw k " " " " kw " k " " " kw k " " " "....8 Fg. Dropet sppng pt for het strton ntensty to entr yers. - e = ; :.7;.8;.7; - e = ; :.;.77;.9. Het spred ode nsde the dropet: () "k" () "" strong ruton se () "" ner reedng ruton se....8 Fg. Dropet sppng pt for onveton het fow oponents. - e = ; :.7;.8; - e = 8; :.;.77. Het spred ode nsde the dropet: () "" strong ruton se () "" ner reedng ruton se

6 In odeed sppng dropet ses het fow densty η k uted ordng to se k s ess thn het fow densty uted η ordng to (7) expresson. The dfferene etween the s rghter t ore ntensve wter ruton (Fg. ). Strong nd ner reedng ruton n the dropet odes for s sppng veotes gves ose resut (Fg. ) whe for rger sppng veotes rghter dfferene redy oserves etween uted η het fows (Fg. ). In sppng dropet the dstruton etween spredng o het fow η onvetve η nd ondutvty ηk oponents depends fro dropet sppng veoty (Fg. ). At s sppng veotes onduton het fow ηk s rghter n dropet (Fg. ). When sppng veoty nresng het fow spred onvetve oponent η nfuene so grows (Fg. ). In fster sppng dropet wter rutes ore ntensvey nd het s eded to ts entr yers ore uky too (Fg. ). Therefore dropet hets up euy nd oentu teperture dssouton n "" het trnsfer se s strong dfferent fro "k" het trnsfer se (Fg. 7). In strong ruton ode se uted dropet teperture n entr yers s ghty hgher thn n se of ner reedng ruton ode. It s oserved n ow (Fg. 7 ) nd strong (Fg. 7 ) sppng dropets. T K T T Fg. 7 Dropet sppng pt for o teperture. - e = ; :.7;.9;.8; 7.7; - e ; :.;.;.77; 7.9. Het spred ode nsde the dropet: () "k" () "" strong ruton se () "" ner reedng ruton se....8 T Fg. 8 Lud ruton ode nsde the dropet pt for uted o tepertures devton fro "k" het trnsfer se: ΔT η = T η T η k. - e = ; :.7;.9;.8;.7; - e = ; :.;.;.77;.9. () "" strong ruton () "" ner reedng ruton At the nt stge of dropet hetng the ggest dfferene oserves etween urves nd tht refets nstntneous teperture fed T η (Fg. 7). However ths dfferene s ess thn one nd hf degrees nd n unstedy phse trnsforton rege s onsstenty deresng (Fg. 8).

7 Mxu devton of o teperture T η fro ondutvty heted dropet teperture T η k for sppng dropet rehes. K nd. K when e = nd e = n ts entr yers respetvey (Fg. 8). A seeted het trnsfer ode hs nfuene for verge dropet ss teperture whh s uted ordng to expresson () (Fg. 9). Espey rght dfferene oserves etween dropet ther odeng resuts n het trnsfer ses of "" nd "k". Strong nd ner reedng ruton odes gve ose dropet ss verge teperture dyns (Fg. 9 nd urves). r further sppng dropet nyss "" het trnsfer se of strong ruton hs een hosen. T Fg. 9 Het trnsfer ode pt for verge ss teperture of non-sother dropet: () "k" hetng () "" strong ruton () "" ner reedng ruton se. e : ; 8 T Fg. Dropet sppng pt for uted nonsother dropet ther stte: () T (); () T () "k" het trnsfer se; () T () "" het trnsfer se. e : ; ; 8 A uted dropet surfe teperture funton T () grph do not depends fro het trnsfer ode nsde the dropet. However t s strongy ffeted y dropet sppng ntensty n gs (Fg. ). Dropet verge ss teperture funton T () grph tht desres nonsother dropet ther stte hnge depends fro pped het trnsfer ode for dropet nd when dropet sps ore ntensvey ths grph devtes fro "k" se grph (Fg. ). Infuene of pped het trnsfer ode n dropet for uted ther stte of dropet hnges t te: t s sgnfnt n dropet ondensng rege (Fg. 9) s weken t unstedy evporton rege nd n euru evporton rege "k" nd "" het trnsfer odes ensures the se uted dropet ther stte (Fg. ). T Fg. Dropet surfe nd ss tepertures hnge n unstedy fn stge nd n nt stge of euru evportons: () T (); () T () "k"; () T () "" het trnsfer se. e : ; ; 8 Te Sppng pt for dropet yers teperture t the end of ondensng rege o T o T. o T. 8 o T o T e preters re defned ordng to fn tertve ye resuts of ondensng rege. Dropet sppng hs nfuene for uted deter dyns (Fg. ) therefore extern onveton het fow densty tht desres dropet energy stte hnge n unstedy evporton osng stte s dfferent (Fg. ). Wter ruton nsde the dropet ensures ore

8 ntensve het tht s provded to surfe strton to entr yers nd esure opertes dropet yers wrng rte (Fg. ). Ths pts dropet unstedy teperture fed dyns (Fg. 7) nd dropet yers wrs dfferenty (Te ) n ondensng phse trnsforton rege. T K s T K s....8 Fg. Dropet deter hnge n unstedy phse trnsforton rege nd n nt stge of euru evporton. : () ; () ; () ; () ; () 8 e Fg. Dropet onvetve hetng ntensty hnge n unstedy phse trnsforton rege nd n nt stge of euru evporton. e : () ; () ; () ; () ; () 8 When prry sppng veoty n gs nreses then dropet yers verge wrng rte sowdown n ondensng phse trnsforton rege (Te ). Ths eds to durton nresng of ondensng phse trnsforton rege. k....8 Fg. Dropet sppng pt for ts yers wrng rte n ondensng phse trnsforton rege T / T T when. T j j / I : () T T ; () T TC ; () T T ; het trnsfer se: ; ; dropet prry sppng ntensty: - e ; - e " k" "" Te Sppng pt for verge wrng rte ΔT η / Δτ o (T ηo-t ) / τ o of dropet yers t ondensng rege T e T. T.8 T T o o o o o

9 . Conusons Surzng sppng dropet ther stte odeng resuts t n e stte tht uted dropet ther stte ordng to strong ruton ode n wek sppng se s ose to ner reedng ruton odeng resuts whe for ntensve sppng dropet se ordng to ner reedng ruton ode uted dropet ther stte s rght dfferent fro strong ruton odeng resuts. Therefore n dropets sppng se t s reoended to ppy strong ruton ode. Dropet sppng n hud r fow hs n pt for opex het trnsfer proesses nterton n dropet ondensng phse trnsforton rege nd kes preondtons for ntensve het drn to nner yers wth rutng wter. Wter wrs eveny n sppng dropet then surfe yers wrng rte sows down nd ondensng phse trnsforton rege durton nreses. Ths s very portnt ftor for tehnoog proesses optzton of het phse trnsforton utzton fro reove gs. eferenes. Sdf M.H.; Jhn I.; Stgoe A.B.; Hoon.. A theoret ode wth experent verfton for het nd ss trnsfer of sne wter dropets Int. J. Het Mss Trnsfer 8: Wen-ong C.; Hu C.; Le H.; We Z.. Effet of dropet fsh evporton on vuu fsh evporton oong: Modeng Int. J. Het Mss Trnsfer 8: Vokov.S.; Kuznetsov G.V.; Strzhk P.A.. Experent nvestgton of xtures nd foregn nusons n wter dropets nfuene on ntegr hrtersts of ther evporton durng oton through hgh-teperture gs re Internton Journ of Ther Senes 88: Kyoung H.K.; Hyung-Jong.; Kyoungjn.; Horo P.B.. Anyss of wter dropet evporton n gs turne net foggng proess Apped Ther Engneerng -: Srkr S.; ghur S.; Vsudevn.. Trnsent evporton of ovng wter dropets n ste hydrogen r envronent Int. J. Het Mss Trnsfer : -. Tseng C.C.; Vsknt.. Enhneent of wter dropet evporton y rdton sorpton Fre Sfety Journ : Musks G.. egurtes of unstedy rdtve-ondutve het trnsfer n evportng setrnsprent ud dropets Int. J. Het Mss Trnsfer : PII: S 7-9 ( ) hrd W.B III.. Correton for drop wse ondenston het trnsfer: Wter orgn fuds nd nnton Int. J. Het Mss Trnsfer : Jun G.; Chu N.; W H.M.. Poydsperse eroso ondenston wth het nd ss onservton: I. Mode desrpton wth pptons to hoogeneous systes Int. J. Het Mss Trnsfer : Musks G.; Šnkūns S.; Musks G.. Ev-porton nd ondensng ugentton of wter dropets n fue gs Int. J. of Het nd Mss Trnsfer : -. Kortsensteyn N.M.; Suov E.V.; Ystreov A.K. 9. Aout use of ethod of dret nuer souton for suton of uk ondenston of supersturted vpor Int. J. of Het nd Mss Trnsfer : ond F.E.; Mro W.; Eugeny Y.K.. The pt of Mrngon onveton on fud dyns nd ss trnsfer t defore snge rsng dropets A nuer study Che Engneerng Sene : Arzon B.; Srgnno W. A Dropet vporzton ode for spry ouston utons Int. J. of Het nd Mss Trnsfer : -8. ftp://ftp.dee.ufpr.r/cfd/ogrf/propuso/r zon_et 989.pdf. G. Musks M. Mzukenė A. Bčus J.Gudznsks MODELLING OF HEAT AND MASS TANSFE POCESSES IN PHASE TANSFOMATION CYCLE OF SPAYED WATE INTO GAS:. THEMAL STATE ANALYSIS OF A DOPLET SLIPPING IN HUMID AI FLOW S u r y Ths rte presents het trnsfer ode tht s sed on y het ondutvty theory n sppng dropet. Strong nd ner reedng ud ruton ses were nysed. Aordng to reeved suton resuts of ther stte y sppng dropet t n e stte tht ordng to strong ruton ode uted dropet ther stte n wek sppng se s ose to ner reedng odeng resuts whe dropet ther stte s rght dfferent fro strong ruton odeng resuts for ntensve dropet sppng se ordng to ner reedng ruton ode. Therefore t s reoended to ppy strong ud ruton ode for dropet sppng ses. Keywords: wter dropets onveton hetng phse trnsforton ye wter ruton ther stte. eeved Otoer Aepted Mrh

Module 3: Element Properties Lecture 5: Solid Elements

Module 3: Element Properties Lecture 5: Solid Elements Modue : Eement Propertes eture 5: Sod Eements There re two s fmes of three-dmenson eements smr to two-dmenson se. Etenson of trngur eements w produe tetrhedrons n three dmensons. Smr retngur preeppeds

More information

a) Read over steps (1)- (4) below and sketch the path of the cycle on a P V plot on the graph below. Label all appropriate points.

a) Read over steps (1)- (4) below and sketch the path of the cycle on a P V plot on the graph below. Label all appropriate points. Prole 3: Crnot Cyle of n Idel Gs In this prole, the strting pressure P nd volue of n idel gs in stte, re given he rtio R = / > of the volues of the sttes nd is given Finlly onstnt γ = 5/3 is given You

More information

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors 1. Defnton A vetor s n entt tht m represent phsl quntt tht hs mgntude nd dreton s opposed to slr tht ls dreton.. Vetor Representton A vetor n e represented grphll n rrow. The length of the rrow s the mgntude

More information

Support vector machines for regression

Support vector machines for regression S 75 Mchne ernng ecture 5 Support vector mchnes for regresson Mos Huskrecht mos@cs.ptt.edu 539 Sennott Squre S 75 Mchne ernng he decson oundr: ˆ he decson: Support vector mchnes ˆ α SV ˆ sgn αˆ SV!!: Decson

More information

SVMs for regression Non-parametric/instance based classification method

SVMs for regression Non-parametric/instance based classification method S 75 Mchne ernng ecture Mos Huskrecht mos@cs.ptt.edu 539 Sennott Squre SVMs for regresson Non-prmetrc/nstnce sed cssfcton method S 75 Mchne ernng Soft-mrgn SVM Aos some fet on crossng the seprtng hperpne

More information

Abhilasha Classes Class- XII Date: SOLUTION (Chap - 9,10,12) MM 50 Mob no

Abhilasha Classes Class- XII Date: SOLUTION (Chap - 9,10,12) MM 50 Mob no hlsh Clsses Clss- XII Dte: 0- - SOLUTION Chp - 9,0, MM 50 Mo no-996 If nd re poston vets of nd B respetvel, fnd the poston vet of pont C n B produed suh tht C B vet r C B = where = hs length nd dreton

More information

Performance Comparison of Three-Phase Shunt Active Power Filter Algorithms

Performance Comparison of Three-Phase Shunt Active Power Filter Algorithms Amern Journ of Apped Senes 5 (11): 144-148, 008 ISSN 1546-939 008 Sene Pubtons Performne Comprson of Three-Phse Shunt Ate Power Fter Agorthms 1 Moeykutty George nd Krtk Prd Bsu 1 Futy of Engneerng nd Tehnoogy,

More information

Robot Dynamics. Hesheng Wang Dept. of Automation Shanghai Jiao Tong University

Robot Dynamics. Hesheng Wang Dept. of Automation Shanghai Jiao Tong University Robot Dyn Heheng Wng Dept. of Autoton Shngh Jo Tong Unverty Wht Robot Dyn? Robot dyn tude the reton between robot oton nd fore nd oent tng on the robot. x Rotton bout Fxed Ax The veoty v n be deterned

More information

Graphical rules for SU(N)

Graphical rules for SU(N) M/FP/Prours of Physque Théorque Invrnes n physs nd group theory Grph rues for SU(N) In ths proem, we de wth grph nguge, whh turns out to e very usefu when omputng group ftors n Yng-Ms fed theory onstruted

More information

Chapter 14. Gas-Vapor Mixtures and Air-Conditioning. Study Guide in PowerPoint

Chapter 14. Gas-Vapor Mixtures and Air-Conditioning. Study Guide in PowerPoint Chpter 14 Gs-Vpor Mixtures nd Air-Conditioning Study Guide in PowerPoint to ccopny Therodynics: An Engineering Approch, 5th edition by Yunus A. Çengel nd Michel A. Boles We will be concerned with the ixture

More information

Concept of Activity. Concept of Activity. Thermodynamic Equilibrium Constants [ C] [ D] [ A] [ B]

Concept of Activity. Concept of Activity. Thermodynamic Equilibrium Constants [ C] [ D] [ A] [ B] Conept of Atvty Equlbrum onstnt s thermodynm property of n equlbrum system. For heml reton t equlbrum; Conept of Atvty Thermodynm Equlbrum Constnts A + bb = C + dd d [C] [D] [A] [B] b Conentrton equlbrum

More information

Improved Frame Synchronization and Frequency Offset Estimation in OFDM System and its Application to WMAN. and

Improved Frame Synchronization and Frequency Offset Estimation in OFDM System and its Application to WMAN. and Iprove Fre Synchronzton n Frequency Offset Estton n OFD Syste n ts Appcton to WAN Ch. Nn Kshore Heosoft In Pvt. Lt., Hyerb, In n V. Upth Rey Internton Insttute of Inforton Technoogy Gchbow, Hyerb, In Ths

More information

Solubilities and Thermodynamic Properties of SO 2 in Ionic

Solubilities and Thermodynamic Properties of SO 2 in Ionic Solubltes nd Therodync Propertes of SO n Ionc Lquds Men Jn, Yucu Hou, b Weze Wu, *, Shuhng Ren nd Shdong Tn, L Xo, nd Zhgng Le Stte Key Lbortory of Checl Resource Engneerng, Beng Unversty of Checl Technology,

More information

Geometric Correction or Georeferencing

Geometric Correction or Georeferencing Geoetrc Correcton or Georeferencng GEOREFERENCING: fro ge to p Coordntes on erth: (λ, φ) ge: (, ) p: (, ) rel nteger Trnsfortons (nvolvng deforton): erth-to-ge: χ erth-to-p: ψ (crtogrphc proecton) ge-to-p:

More information

Effectiveness of Split-Plot Design over Randomized Complete Block Design in Some Experiments

Effectiveness of Split-Plot Design over Randomized Complete Block Design in Some Experiments Journ of Boogy, Agruture nd Hethre ISSN 4-308 (Pper) ISSN 5-093X (Onne) Vo.4, No.19, 014 www.ste.org Effetveness of Spt-Pot Desgn over Rndomzed Compete Bo Desgn n Some Experments 1 Dvd, I. J. nd Adeh,

More information

Trigonometry. Trigonometry. Solutions. Curriculum Ready ACMMG: 223, 224, 245.

Trigonometry. Trigonometry. Solutions. Curriculum Ready ACMMG: 223, 224, 245. Trgonometry Trgonometry Solutons Currulum Redy CMMG:, 4, 4 www.mthlets.om Trgonometry Solutons Bss Pge questons. Identfy f the followng trngles re rght ngled or not. Trngles,, d, e re rght ngled ndted

More information

Energy Balance of Solar Collector

Energy Balance of Solar Collector Renewbe Energy Grou Gret Ides Grow Better Beow Zero! Wecome! Energy Bnce of Sor Coector Mohmd Khrseh E-mi:m.Khrseh@gmi.com Renewbe Energy Grou Gret Ides Grow Better Beow Zero! Liuid Ft Pte Coectors. Het

More information

Stiffness Characteristics Analysis of a Novel 3-DOF Parallel Kinematic Machine Tool

Stiffness Characteristics Analysis of a Novel 3-DOF Parallel Kinematic Machine Tool Stffness Chrtersts Anyss of Nove 3-DOF Pre Knet Mhne oo Hqng Zhng nd Hrong Fng Abstrt A nove 1R wth three degrees of freedo redundnty tuted nd overonstrned RPU-SPR pre nputor s here presented s n terntve

More information

Fermi-Dirac statistics

Fermi-Dirac statistics UCC/Physcs/MK/EM/October 8, 205 Fer-Drac statstcs Fer-Drac dstrbuton Matter partcles that are eleentary ostly have a type of angular oentu called spn. hese partcles are known to have a agnetc oent whch

More information

Effectiveness and Efficiency Analysis of Parallel Flow and Counter Flow Heat Exchangers

Effectiveness and Efficiency Analysis of Parallel Flow and Counter Flow Heat Exchangers Interntonl Journl of Applton or Innovton n Engneerng & Mngement (IJAIEM) Web Ste: www.jem.org Eml: edtor@jem.org Effetveness nd Effeny Anlyss of Prllel Flow nd Counter Flow Het Exngers oopes wr 1, Dr.Govnd

More information

The calculation of ternary vapor-liquid system equilibrium by using P-R equation of state

The calculation of ternary vapor-liquid system equilibrium by using P-R equation of state The alulaton of ternary vapor-lqud syste equlbru by usng P-R equaton of state Y Lu, Janzhong Yn *, Rune Lu, Wenhua Sh and We We Shool of Cheal Engneerng, Dalan Unversty of Tehnology, Dalan 11601, P.R.Chna

More information

1 Definition of Rademacher Complexity

1 Definition of Rademacher Complexity COS 511: Theoretcal Machne Learnng Lecturer: Rob Schapre Lecture #9 Scrbe: Josh Chen March 5, 2013 We ve spent the past few classes provng bounds on the generalzaton error of PAClearnng algorths for the

More information

SVMs for regression Multilayer neural networks

SVMs for regression Multilayer neural networks Lecture SVMs for regresson Muter neur netors Mos Husrecht mos@cs.ptt.edu 539 Sennott Squre Support vector mchne SVM SVM mmze the mrgn round the seprtng hperpne. he decson functon s fu specfed suset of

More information

Lecture 7 Circuits Ch. 27

Lecture 7 Circuits Ch. 27 Leture 7 Cruts Ch. 7 Crtoon -Krhhoff's Lws Tops Dret Current Cruts Krhhoff's Two ules Anlyss of Cruts Exmples Ammeter nd voltmeter C ruts Demos Three uls n rut Power loss n trnsmsson lnes esstvty of penl

More information

A Decision-making Method of Supporting Schemes for Deep Foundation Pits Based on Prospect & Evidence Theory

A Decision-making Method of Supporting Schemes for Deep Foundation Pits Based on Prospect & Evidence Theory A Deson-mng Method of Supportng Shemes for Deep Foundton Pts Bsed on Prospet & vdene Theory WI Do-ng LI Hu-mng LI Hu. Shoo of Cv ngneerng X n Unversty of Arhteture nd Tehnoogy X n Chn. Insttute of Arhteture

More information

Traffic Behavior and Jams Induced by Slow-down Sections

Traffic Behavior and Jams Induced by Slow-down Sections 55 * * * Trff Behvor nd Jms Indued y Slow-down Setons Shuh MASUKURA, Fulty of Engneerng, Shzuok Unversty Hrotosh HANAURA, Fulty of Engneerng, Shzuok Unversty Tksh NAGATANI, Fulty of Engneerng, Shzuok Unversty

More information

Einstein Summation Convention

Einstein Summation Convention Ensten Suaton Conventon Ths s a ethod to wrte equaton nvovng severa suatons n a uncuttered for Exape:. δ where δ or 0 Suaton runs over to snce we are denson No ndces appear ore than two tes n the equaton

More information

STRENGTH FIELDS AND LAGRANGIANS ON GOsc (2) M

STRENGTH FIELDS AND LAGRANGIANS ON GOsc (2) M NLELE ŞTIINŢIICE LE UNIERSITĂŢII L.I.CUZ IŞI Toul XLII, s.i, Mtetă, 2001, f.2. STRENGTH IELDS ND LGRNGINS ON GOs 2 M BY DRIN SNDOICI strt. In ths pper we stud the strength felds of the seond order on the

More information

Theory of Ferromagnetism in Double Perosvkites. Luis Brey CSIC-Madrid F. Guinea CSIC-Madrid S.Das Sarma Univ.Maryland

Theory of Ferromagnetism in Double Perosvkites. Luis Brey CSIC-Madrid F. Guinea CSIC-Madrid S.Das Sarma Univ.Maryland Theory of Ferromagnetsm n Double Perosvktes. Lus Brey CSIC-Madrd F. Gunea CSIC-Madrd S.Das Sarma Unv.Maryland 1 OUTLINE Introduton to Fe based double perovsktes. Chemstry Band struture Ferromagnetsm ndued

More information

Neural Network Introduction. Hung-yi Lee

Neural Network Introduction. Hung-yi Lee Neu Neto Intoducton Hung- ee Reve: Supevsed enng Mode Hpothess Functon Set f, f : : (e) Tnng: Pc the est Functon f * Best Functon f * Testng: f Tnng Dt : functon nput : functon output, ˆ,, ˆ, Neu Neto

More information

Learning Enhancement Team

Learning Enhancement Team Lernng Enhnement Tem Worsheet: The Cross Produt These re the model nswers for the worsheet tht hs questons on the ross produt etween vetors. The Cross Produt study gude. z x y. Loong t mge, you n see tht

More information

" = #N d$ B. Electromagnetic Induction. v ) $ d v % l. Electromagnetic Induction and Faraday s Law. Faraday s Law of Induction

 = #N d$ B. Electromagnetic Induction. v ) $ d v % l. Electromagnetic Induction and Faraday s Law. Faraday s Law of Induction Eletromgnet Induton nd Frdy s w Eletromgnet Induton Mhel Frdy (1791-1867) dsoered tht hngng mgnet feld ould produe n eletr urrent n ondutor pled n the mgnet feld. uh urrent s lled n ndued urrent. The phenomenon

More information

Week 9 Chapter 10 Section 1-5

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

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter.4 Newton-Rphson Method of Solvng Nonlner Equton After redng ths chpter, you should be ble to:. derve the Newton-Rphson method formul,. develop the lgorthm of the Newton-Rphson method,. use the Newton-Rphson

More information

Dr. M. Perumal Professor & Head Department of Hydrology Indian Institute of Technology Roorkee INDIA Co-authors: Dr. B. Sahoo & Dr. C.M.

Dr. M. Perumal Professor & Head Department of Hydrology Indian Institute of Technology Roorkee INDIA Co-authors: Dr. B. Sahoo & Dr. C.M. Dr.. Perumal Professor & Head Department of Hdrolog Indan Insttute of Tehnolog Roorkee INDIA o-authors: Dr. B. Sahoo & Dr... Rao Dr. Dr... Perumal, Professor & & Head, Dept. Dept. of of Hdrolog, I.I.T.

More information

The linear system. The problem: solve

The linear system. The problem: solve The ler syste The prole: solve Suppose A s vertle, the there ests uue soluto How to effetly opute the soluto uerlly??? A A A evew of dret ethods Guss elto wth pvotg Meory ost: O^ Coputtol ost: O^ C oly

More information

Physics 41 Chapter 22 HW Serway 7 th Edition

Physics 41 Chapter 22 HW Serway 7 th Edition yss 41 apter H Serway 7 t Edton oneptual uestons: 1,, 8, 1 roblems: 9, 1, 0,, 7, 9, 48, 54, 55 oneptual uestons: 1,, 8, 1 1 Frst, te effeny of te automoble engne annot exeed te arnot effeny: t s lmted

More information

Class: Life-Science Subject: Physics

Class: Life-Science Subject: Physics Class: Lfe-Scence Subject: Physcs Frst year (6 pts): Graphc desgn of an energy exchange A partcle (B) of ass =g oves on an nclned plane of an nclned angle α = 3 relatve to the horzontal. We want to study

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

Figure XX.1.1 Plane truss structure

Figure XX.1.1 Plane truss structure Truss Eements Formution. TRUSS ELEMENT.1 INTRODUTION ne truss struture is ste struture on the sis of tringe, s shown in Fig..1.1. The end of memer is pin juntion whih does not trnsmit moment. As for the

More information

v v at 1 2 d vit at v v 2a d

v v at 1 2 d vit at v v 2a d SPH3UW Unt. Accelerton n One Denon Pge o 9 Note Phyc Inventory Accelerton the rte o chnge o velocty. Averge ccelerton, ve the chnge n velocty dvded by the te ntervl, v v v ve. t t v dv Intntneou ccelerton

More information

e a = 12.4 i a = 13.5i h a = xi + yj 3 a Let r a = 25cos(20) i + 25sin(20) j b = 15cos(55) i + 15sin(55) j

e a = 12.4 i a = 13.5i h a = xi + yj 3 a Let r a = 25cos(20) i + 25sin(20) j b = 15cos(55) i + 15sin(55) j Vetors MC Qld-3 49 Chapter 3 Vetors Exerse 3A Revew of vetors a d e f e a x + y omponent: x a os(θ 6 os(80 + 39 6 os(9.4 omponent: y a sn(θ 6 sn(9 0. a.4 0. f a x + y omponent: x a os(θ 5 os( 5 3.6 omponent:

More information

F í s. i c HARMONIC MOTION. A p l. i c a U C L M

F í s. i c HARMONIC MOTION. A p l. i c a U C L M HRONI OTION 070311 1 Hooke w hrterzton of Sme Hrmon oton (SH) Veoty n eerton n hrmon moton. Exeme. Horzont n vert rng Sme enuum Phy enuum Energy n hrmon moton Dme hrmon moton Hooke w Srng ontnt The fore

More information

Dr. James C.Y. Guo, P.E., Professor and Director Civil Engineering, U. of Colorado Denver Pitot-Static Tube

Dr. James C.Y. Guo, P.E., Professor and Director Civil Engineering, U. of Colorado Denver Pitot-Static Tube Flow Measurement Dr. James C.Y. Guo, P.E., Professor and Dretor Cvl Engneerng, U. of Colorado Denver Ptot-Stat Tube 1 Ptot-tube for Veloty Measurement Operaton of Ptot-Tube Manometer and Pressure Dfferental

More information

Study on the Normal and Skewed Distribution of Isometric Grouping

Study on the Normal and Skewed Distribution of Isometric Grouping Open Journ of Sttstcs 7-5 http://dx.do.org/.36/ojs..56 Pubshed Onne October (http://www.scp.org/journ/ojs) Study on the orm nd Skewed Dstrbuton of Isometrc Groupng Zhensheng J Wenk J Schoo of Economcs

More information

ELASTIC-VISCOPLASTIC HOMOGENIZATION ANALYSIS OF PLAIN-WOVEN GFRP LAMINATES WITH MISALIGNED PLAIN FABRICS

ELASTIC-VISCOPLASTIC HOMOGENIZATION ANALYSIS OF PLAIN-WOVEN GFRP LAMINATES WITH MISALIGNED PLAIN FABRICS 8 TH INTERNTIONL CONFERENCE ON COMPOSITE MTERILS ELSTIC-VISCOPLSTIC HOMOGENIZTION NLYSIS OF PLIN-WOVEN GFRP LMINTES WITH MISLIGNED PLIN FBRICS S. Knmru, T. Mtsud * Deprtment of Engneerng Mechncs nd Energy,

More information

Applied Mathematics Letters

Applied Mathematics Letters Appled Matheatcs Letters 2 (2) 46 5 Contents lsts avalable at ScenceDrect Appled Matheatcs Letters journal hoepage: wwwelseverco/locate/al Calculaton of coeffcents of a cardnal B-splne Gradr V Mlovanovć

More information

CS 4758 Robot Kinematics. Ashutosh Saxena

CS 4758 Robot Kinematics. Ashutosh Saxena CS 4758 Rt Kemt Ahuth Se Kemt tude the mt f de e re tereted tw emt tp Frwrd Kemt (ge t pt ht u re gve: he egth f eh he ge f eh t ht u fd: he pt f pt (.e. t (,, rdte Ivere Kemt (pt t ge ht u re gve: he

More information

Controller Design for Networked Control Systems in Multiple-packet Transmission with Random Delays

Controller Design for Networked Control Systems in Multiple-packet Transmission with Random Delays Appled Mehans and Materals Onlne: 03-0- ISSN: 66-748, Vols. 78-80, pp 60-604 do:0.408/www.sentf.net/amm.78-80.60 03 rans eh Publatons, Swtzerland H Controller Desgn for Networed Control Systems n Multple-paet

More information

System in Weibull Distribution

System in Weibull Distribution Internatonal Matheatcal Foru 4 9 no. 9 94-95 Relablty Equvalence Factors of a Seres-Parallel Syste n Webull Dstrbuton M. A. El-Dacese Matheatcs Departent Faculty of Scence Tanta Unversty Tanta Egypt eldacese@yahoo.co

More information

Linear Momentum. Center of Mass.

Linear Momentum. Center of Mass. Lecture 16 Chapter 9 Physcs I 11.06.2013 Lnear oentu. Center of ass. Course webste: http://faculty.ul.edu/ndry_danylov/teachng/physcsi Lecture Capture: http://echo360.ul.edu/danylov2013/physcs1fall.htl

More information

8.022 (E&M) Lecture 4

8.022 (E&M) Lecture 4 Topcs: 8.0 (E&M) Lecture 4 More applcatons of vector calculus to electrostatcs: Laplacan: Posson and Laplace equaton url: concept and applcatons to electrostatcs Introducton to conductors Last tme Electrc

More information

PHYSICS 212 MIDTERM II 19 February 2003

PHYSICS 212 MIDTERM II 19 February 2003 PHYSICS 1 MIDERM II 19 Feruary 003 Exam s losed ook, losed notes. Use only your formula sheet. Wrte all work and answers n exam ooklets. he aks of pages wll not e graded unless you so request on the front

More information

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s A g la di ou s F. L. 462 E l ec tr on ic D ev el op me nt A i ng er A.W.S. 371 C. A. M. A l ex an de r 236 A d mi ni st ra ti on R. H. (M rs ) A n dr ew s P. V. 326 O p ti ca l Tr an sm is si on A p ps

More information

2/24/2014. The point mass. Impulse for a single collision The impulse of a force is a vector. The Center of Mass. System of particles

2/24/2014. The point mass. Impulse for a single collision The impulse of a force is a vector. The Center of Mass. System of particles /4/04 Chapte 7 Lnea oentu Lnea oentu of a Sngle Patcle Lnea oentu: p υ It s a easue of the patcle s oton It s a vecto, sla to the veloct p υ p υ p υ z z p It also depends on the ass of the object, sla

More information

An Axiomatic Approach to Physics. Daniel L. Burnstein

An Axiomatic Approach to Physics. Daniel L. Burnstein An Axot Approh to Physs By Dnel L. Burnsten durnsten@quntugeoetrydyns.o Astrt Quntu-geoetry dyns: theory derved fro nl set of xos tht n desre, expln nd predt the ehvour of dyn systes. Frst, we wll ntrodue

More information

Mass Transfer as you have learned it. Diffusion with Drift. Classic - in Gases 1. Three Gases (1) Appendix. Mass transfer in

Mass Transfer as you have learned it. Diffusion with Drift. Classic - in Gases 1. Three Gases (1) Appendix. Mass transfer in to ourse mterl for ÅA TF ourse 44 / 8 Mss trnsfer nd seprton tehnology Mssöverf verförng rng oh seprtonsten ( MÖF-ST ) See lso Krshn & Wesselngh Chem. Eng. S. 5(6) 997 86-9 Appendx. Mss trnsfer n mult-omponent

More information

ELG4179: Wireless Communication Fundamentals S.Loyka. Frequency-Selective and Time-Varying Channels

ELG4179: Wireless Communication Fundamentals S.Loyka. Frequency-Selective and Time-Varying Channels Frequeny-Seletve and Tme-Varyng Channels Ampltude flutuatons are not the only effet. Wreless hannel an be frequeny seletve (.e. not flat) and tmevaryng. Frequeny flat/frequeny-seletve hannels Frequeny

More information

An Ising model on 2-D image

An Ising model on 2-D image School o Coputer Scence Approte Inerence: Loopy Bele Propgton nd vrnts Prolstc Grphcl Models 0-708 Lecture 4, ov 7, 007 Receptor A Knse C Gene G Receptor B Knse D Knse E 3 4 5 TF F 6 Gene H 7 8 Hetunndn

More information

Solutions to Practice Problems

Solutions to Practice Problems Phys A Solutons to Practce Probles hapter Inucton an Maxwell s uatons (a) At t s, the ef has a agntue of t ag t Wb s t Wb s Wb s t Wb s V t 5 (a) Table - gves the resstvty of copper Thus, L A 8 9 5 (b)

More information

Ideal Gas behaviour: summary

Ideal Gas behaviour: summary Lecture 4 Rel Gses Idel Gs ehviour: sury We recll the conditions under which the idel gs eqution of stte Pn is vlid: olue of individul gs olecules is neglected No interctions (either ttrctive or repulsive)

More information

Vibration with more (than one) degrees of freedom (DOF) a) longitudinal vibration with 3 DOF. b) rotational (torsional) vibration with 3 DOF

Vibration with more (than one) degrees of freedom (DOF) a) longitudinal vibration with 3 DOF. b) rotational (torsional) vibration with 3 DOF irtion with ore (thn one) degrees of freedo (DOF) ) longitudinl irtion with DOF ) rottionl (torsionl) irtion with DOF ) ending irtion with DOF d) the D (plnr) irtion of the fleil supported rigid od with

More information

Effects of polarization on the reflected wave

Effects of polarization on the reflected wave Lecture Notes. L Ros PPLIED OPTICS Effects of polrzton on the reflected wve Ref: The Feynmn Lectures on Physcs, Vol-I, Secton 33-6 Plne of ncdence Z Plne of nterfce Fg. 1 Y Y r 1 Glss r 1 Glss Fg. Reflecton

More information

ˆ A = A 0 e i (k r ωt) + c.c. ( ωt) e ikr. + c.c. k,j

ˆ A = A 0 e i (k r ωt) + c.c. ( ωt) e ikr. + c.c. k,j p. Supp. 9- Suppleent to Rate of Absorpton and Stulated Esson Here are a ouple of ore detaled dervatons: Let s look a lttle ore arefully at the rate of absorpton w k ndued by an sotrop, broadband lght

More information

= m 1. sin π( ai z ) )

= m 1. sin π( ai z ) ) EXACT COVERING SYSTEMS AND THE GAUSS-LEGENDRE MULTIPLICATION FORMULA FOR THE GAMMA FUNCTION John Beeee Unversty of Alaska Anchorage July 0 199 The Gauss-Legendre ultplcaton forula for the gaa functon s

More information

Influence of Gravity on the Performance Index of Microchannel Heat Exchangers-Experimental Investigations

Influence of Gravity on the Performance Index of Microchannel Heat Exchangers-Experimental Investigations Proeedngs of the World Congress on Engneerng 011 Vol III WCE 011, July 6-8, 011, London, U.K. Influene of Gravty on the Performane Index of Mrohannel Heat Exhangers-Expermental Investgatons Thanhtrung

More information

Partially Observable Systems. 1 Partially Observable Markov Decision Process (POMDP) Formalism

Partially Observable Systems. 1 Partially Observable Markov Decision Process (POMDP) Formalism CS294-40 Lernng for Rootcs nd Control Lecture 10-9/30/2008 Lecturer: Peter Aeel Prtlly Oservle Systems Scre: Dvd Nchum Lecture outlne POMDP formlsm Pont-sed vlue terton Glol methods: polytree, enumerton,

More information

Richard Socher, Henning Peters Elements of Statistical Learning I E[X] = arg min. E[(X b) 2 ]

Richard Socher, Henning Peters Elements of Statistical Learning I E[X] = arg min. E[(X b) 2 ] 1 Prolem (10P) Show that f X s a random varale, then E[X] = arg mn E[(X ) 2 ] Thus a good predcton for X s E[X] f the squared dfference s used as the metrc. The followng rules are used n the proof: 1.

More information

Boundary Value Problems. Lecture Objectives. Ch. 27

Boundary Value Problems. Lecture Objectives. Ch. 27 Boundar Vaue Probes Ch. 7 Lecture Obectves o understand the dfference between an nta vaue and boundar vaue ODE o be abe to understand when and how to app the shootng ethod and FD ethod. o understand what

More information

Collisions Short, Sharp Shocks

Collisions Short, Sharp Shocks 16-8 Satterng R 1b n, b 19-1 Collson Colatons L1 Collsons 1 R 1 9 d, 15, 11 Derent Reerene Fraes, 111 ranslatonal ngular Moentu Quz 1 R 11a; HW1: r s 13*, 1, 3, 39 Collsons Short, Shar Shoks Sak! F Whh

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

Physics 201 Lecture 9

Physics 201 Lecture 9 Physcs 20 Lecture 9 l Goals: Lecture 8 ewton s Laws v Solve D & 2D probles ntroducng forces wth/wthout frcton v Utlze ewton s st & 2 nd Laws v Begn to use ewton s 3 rd Law n proble solvng Law : An obect

More information

Vapour compression refrigeration system

Vapour compression refrigeration system www.ookspr.om VTU NEWS VTU NOTES QUESTION PAPERS FORUMS RESULTS Vpour ompression refrigertion system Introdution In vpour ompression system, the refrigernts used re mmoni, ron dioxide, freons et. the refrigernts

More information

CHAPTER 10 ROTATIONAL MOTION

CHAPTER 10 ROTATIONAL MOTION CHAPTER 0 ROTATONAL MOTON 0. ANGULAR VELOCTY Consder argd body rotates about a fxed axs through pont O n x-y plane as shown. Any partcle at pont P n ths rgd body rotates n a crcle of radus r about O. The

More information

4.5. QUANTIZED RADIATION FIELD

4.5. QUANTIZED RADIATION FIELD 4-1 4.5. QUANTIZED RADIATION FIELD Baground Our treatent of the vetor potental has drawn on the onohroat plane-wave soluton to the wave-euaton for A. The uantu treatent of lght as a partle desrbes the

More information

Interval Valued Neutrosophic Soft Topological Spaces

Interval Valued Neutrosophic Soft Topological Spaces 8 Interval Valued Neutrosoph Soft Topologal njan Mukherjee Mthun Datta Florentn Smarandah Department of Mathemats Trpura Unversty Suryamannagar gartala-7990 Trpura Indamal: anjan00_m@yahooon Department

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

Remark: Positive work is done on an object when the point of application of the force moves in the direction of the force.

Remark: Positive work is done on an object when the point of application of the force moves in the direction of the force. Unt 5 Work and Energy 5. Work and knetc energy 5. Work - energy theore 5.3 Potenta energy 5.4 Tota energy 5.5 Energy dagra o a ass-sprng syste 5.6 A genera study o the potenta energy curve 5. Work and

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter 0.04 Newton-Rphson Method o Solvng Nonlner Equton Ater redng ths chpter, you should be ble to:. derve the Newton-Rphson method ormul,. develop the lgorthm o the Newton-Rphson method,. use the Newton-Rphson

More information

Example

Example Chapter Example.- ------------------------------------------------------------------------------ sold slab of 5.5 wt% agar gel at 78 o K s.6 mm thk and ontans a unform onentraton of urea of. kmol/m 3.

More information

TELCOM 2130 Time Varying Queues. David Tipper Associate Professor Graduate Telecommunications and Networking Program University of Pittsburgh Slides 7

TELCOM 2130 Time Varying Queues. David Tipper Associate Professor Graduate Telecommunications and Networking Program University of Pittsburgh Slides 7 TELOM 3 Tme Vryng Queues Dvd Tpper Assote Professor Grdute Teleommuntons nd Networkng Progrm Unversty of Pttsburgh ldes 7 Tme Vryng Behvor Teletrff typlly hs lrge tme of dy vrtons Men number of lls per

More information

Spatial Statistics and Analysis Methods (for GEOG 104 class).

Spatial Statistics and Analysis Methods (for GEOG 104 class). Spatal Statstcs and Analyss Methods (for GEOG 104 class). Provded by Dr. An L, San Dego State Unversty. 1 Ponts Types of spatal data Pont pattern analyss (PPA; such as nearest neghbor dstance, quadrat

More information

ˆ (0.10 m) E ( N m /C ) 36 ˆj ( j C m)

ˆ (0.10 m) E ( N m /C ) 36 ˆj ( j C m) 7.. = = 3 = 4 = 5. The electrc feld s constant everywhere between the plates. Ths s ndcated by the electrc feld vectors, whch are all the same length and n the same drecton. 7.5. Model: The dstances to

More information

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1 Denns Brcker, 2001 Dept of Industrl Engneerng The Unversty of Iow MDP: Tx pge 1 A tx serves three djcent towns: A, B, nd C. Ech tme the tx dschrges pssenger, the drver must choose from three possble ctons:

More information

COMP 465: Data Mining More on PageRank

COMP 465: Data Mining More on PageRank COMP 465: Dt Mnng Moe on PgeRnk Sldes Adpted Fo: www.ds.og (Mnng Mssve Dtsets) Powe Iteton: Set = 1/ 1: = 2: = Goto 1 Exple: d 1/3 1/3 5/12 9/24 6/15 = 1/3 3/6 1/3 11/24 6/15 1/3 1/6 3/12 1/6 3/15 Iteton

More information

Spacetime and the Quantum World Questions Fall 2010

Spacetime and the Quantum World Questions Fall 2010 Spetime nd the Quntum World Questions Fll 2010 1. Cliker Questions from Clss: (1) In toss of two die, wht is the proility tht the sum of the outomes is 6? () P (x 1 + x 2 = 6) = 1 36 - out 3% () P (x 1

More information

Complement of an Extended Fuzzy Set

Complement of an Extended Fuzzy Set Internatonal Journal of Computer pplatons (0975 8887) Complement of an Extended Fuzzy Set Trdv Jyot Neog Researh Sholar epartment of Mathemats CMJ Unversty, Shllong, Meghalaya usmanta Kumar Sut ssstant

More information

University of Groningen. Electrodialytic recovery of acids and bases Visser, Cornelis

University of Groningen. Electrodialytic recovery of acids and bases Visser, Cornelis Unversty of Gronngen Eletrodlyt reovery of ds nd bses Vsser, Cornels IMPORTANT NOTE: You re dvsed to onsult the publsher's verson (publsher's PDF) f you wsh to te from t. Plese hek the doument verson below.

More information

Journal of Chemical and Pharmaceutical Research, 2013, 5(9): Research Article

Journal of Chemical and Pharmaceutical Research, 2013, 5(9): Research Article Ave onne www.jopr.o Journ of Che n Phreut Reerh, 0, 5(9):68-7 Reerh Arte ISSN : 0975-784 COEN(USA) : JCPRC5 A rnton etho of Rppng up the rvere n the Yeow Rver ong Wenheng, Jng Enhu, Lu Xuee n L Junhu North

More information

Gravity Drainage Prior to Cake Filtration

Gravity Drainage Prior to Cake Filtration 1 Gravty Dranage Pror to ake Fltraton Sott A. Wells and Gregory K. Savage Department of vl Engneerng Portland State Unversty Portland, Oregon 97207-0751 Voe (503) 725-4276 Fax (503) 725-4298 ttp://www.e.pdx.edu/~wellss

More information

Terminal Velocity and Raindrop Growth

Terminal Velocity and Raindrop Growth Terminl Velocity nd Rindrop Growth Terminl velocity for rindrop represents blnce in which weight mss times grvity is equl to drg force. F 3 π3 ρ L g in which is drop rdius, g is grvittionl ccelertion,

More information

Solution of Tutorial 5 Drive dynamics & control

Solution of Tutorial 5 Drive dynamics & control ELEC463 Unversty of New South Wles School of Electrcl Engneerng & elecommunctons ELEC463 Electrc Drve Systems Queston Motor Soluton of utorl 5 Drve dynmcs & control 500 rev/mn = 5.3 rd/s 750 rted 4.3 Nm

More information

Section 10.2 Angles and Triangles

Section 10.2 Angles and Triangles 117 Ojective #1: Section 10.2 nges n Tringes Unerstning efinitions of ifferent types of nges. In the intersection of two ines, the nges tht re cttycorner fro ech other re vertic nges. Vertic nges wi hve

More information

ME306 Dynamics, Spring HW1 Solution Key. AB, where θ is the angle between the vectors A and B, the proof

ME306 Dynamics, Spring HW1 Solution Key. AB, where θ is the angle between the vectors A and B, the proof ME6 Dnms, Spng HW Slutn Ke - Pve, gemetll.e. usng wngs sethes n nltll.e. usng equtns n nequltes, tht V then V. Nte: qunttes n l tpee e vets n n egul tpee e sls. Slutn: Let, Then V V V We wnt t pve tht:

More information

Thermodynamics. Question 1. Question 2. Question 3 3/10/2010. Practice Questions PV TR PV T R

Thermodynamics. Question 1. Question 2. Question 3 3/10/2010. Practice Questions PV TR PV T R /10/010 Question 1 1 mole of idel gs is rought to finl stte F y one of three proesses tht hve different initil sttes s shown in the figure. Wht is true for the temperture hnge etween initil nd finl sttes?

More information

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o u l d a l w a y s b e t a k e n, i n c l u d f o l

More information

ECE 6340 Intermediate EM Waves. Fall Prof. David R. Jackson Dept. of ECE. Notes 3

ECE 6340 Intermediate EM Waves. Fall Prof. David R. Jackson Dept. of ECE. Notes 3 C 634 Intermedate M Waves Fall 216 Prof. Davd R. akson Dept. of C Notes 3 1 Types of Current ρ v Note: The free-harge densty ρ v refers to those harge arrers (ether postve or negatve) that are free to

More information

REGULARIZATION IN QUANTUM GAUGE THEORY OF GRAVITATION WITH DE SITTER INNER SYMMETRY

REGULARIZATION IN QUANTUM GAUGE THEORY OF GRAVITATION WITH DE SITTER INNER SYMMETRY THEORETICAL PHYSICS REGULARIZATION IN QUANTUM GAUGE THEORY OF GRAVITATION WITH DE SITTER INNER SYMMETRY V. CHIRIÞOIU 1, G. ZET 1 Poltehn Unversty Tmºor, Tehnl Physs Deprtment, Romn E-ml: vorel.hrtou@et.upt.ro

More information

6 Random Errors in Chemical Analysis

6 Random Errors in Chemical Analysis 6 Rndom Error n Cheml Anl 6A The ture of Rndom Error 6A- Rndom Error Soure? Fg. 6- Three-dmenonl plot howng olute error n Kjeldhl ntrogen determnton for four dfferent nlt. Anlt Pree Aurte 4 Tle 6- Pole

More information

CYLINDER MADE FROM BRITTLE MATERIAL AND SUBJECT TO INTERNAL PRESSURE ONLY

CYLINDER MADE FROM BRITTLE MATERIAL AND SUBJECT TO INTERNAL PRESSURE ONLY CYLINDER MADE FROM BRITTLE MATERIAL AND SUBJECT TO INTERNAL PRESSURE ONLY STRESS DISTRIBUTION ACROSS THE CYLINDER WALL The stresses n cyner suject t ntern ressure ny cn e etermne t tw ctns n the cyner

More information