Modeling and simulation of electrodeposition: Effect of electrolyte current density and conductivity on electroplating thickness

Size: px
Start display at page:

Download "Modeling and simulation of electrodeposition: Effect of electrolyte current density and conductivity on electroplating thickness"

Transcription

1 Advanced Materals Scence esearch Artcle ISSN: Mdelng and smulatn electrdepstn: Eect electrlyte current densty and cnductvty n electrplatng thckness Anl Mahapatr 1,2 * and Santsh Kumar Suggu 2 1 Department Bmedcal Engneerng, Wchta State Unversty, USA 2 Department Industral and Manuacturng Engneerng, Wchta State Unversty, USA Abstract Electrplatng r electrdepstn s a prcess carred ut n an electrchemcal cell where a current s used t rm a catng n a metal surace. Develpng and ptmzng cndtns r electrplatng s tme cnsumng and mdelng and smulatn culd be used t ptmze the electrdepstn prcess. Electrlyte current densty and cnductvty are mprtant parameters r an electrdepstn system as they dctate the verall ecency lw ns n the electrlyte system and thus ptmzatn these parameters s necessary. In ths manuscrpt we reprt the develpment a mathematcal mdel t predct the electrdepstn cpper n cbalt chrme ally n an electrchemcal cell wth cpper and cbalt chrme ally as the electrdes and cpper sulate as the electrlyte. The develped mdel was valdated usng experments. The catng thckness the samples was characterzed usng scannng electrn mcrscpe () and a thckness gage. At 3 mn the mdel predcted the cpper thckness t be 11.7 µm whle expermentally the catng thckness was und t be /-1.79 (mean +/- SD) usng and /-1.36 (mean +/- SD) usng thckness gauge. When predctng eect current densty the mdel accurately predcts general trends hwever the mdel seems t vary rm expermental values n regns where there s sgncant eect the electrchemcal duble layer that the mdel des nt accunt r. The mdel accurately predcts the trend eect electrlyte cnductvty n catng rmatn. The mdel can thus be used as a startng pnt t predct eect prcess parameters n electrdepstn thckness Intrductn Smulatn usng mathematcal mdelng s a tl that s used t predct, evaluate r ptmze the perrmance a prpsed / current system under study ver tme [1,2]. Smulatn s perrmed under specc nput cndtns and utput the mdel s cmpared wth that the actual system [3]. Physcal prcesses culd be mdeled t mnmze expermental trals necessary r ptmzatn the physcal prcess [4]. Smulatn mdelng helps desgners and engneers t understand the ways and cndtns, n whch a part culd al, the lads t can wthstand and helps t avd recurrng usage physcal prttypes t analyze desgns r new and exstng parts [5]. There are varus types smulatn mdelng such as stchastc [6], dynamc [7] and Multphyscs mdellng [8]. A stchastc mdel s perrmed rm a surce randmness as t s based n certan assumptns the system under study [9]. Statstcal mdelng s a stchastc mdel [1]. Examples ths type mdelng are lnear regressn [11], multple regressn [12], etc. Mnte-Carl methd s a type stchastc mdellng [13]. Dynamc mdellng [14] represents tme aspect a system. Smulatn mdelng used r ptmzng materal handlng n a plant wuld be an example under ths categry [15]. Multphyscs mdelng ncrprates prncple physcs, chemstry blgy and engneerng n a mathematcal statement that descrbes the phenmena r system under cnsderatn [16]. Electrplatng r electrdepstn s a prcess carred ut n an electrchemcal cell where a current s used t rm a catng n a metal [17]. In the electrchemcal cell the metal t be cated s the cathde and the ande can be ne the tw: sacrcal ande (dsslvable ande) r permanent ande (nert ande) [18]. Electrlyte n the electrchemcal cell acts as a medum r the mvement electrns and rms the electrc crcut between the electrdes [19]. Oxdatn ccurs at the ande whle reductn reactn ccurs at the cathde resultng n electrdepstn [2]. Electrplatng s used r varus applcatns ncludng crrsn prtectn [2]. Fr example, electrplatng Palladum s used t manuacture catalytc cnverters because t has the ablty t absrb excess hydrgen. Fasteners are electr-plated t have a better crrsve resstance [21]. Majrty the electrcal parts and cmpnents are used ater electrdepstn prcess. Slver electrplatng has been used n cpper r brass t enhance ts cnductvty and als used n slcn slar cells t ncrease ts peratng ecency by.4% [22]. Nckel platng, tn platng and varus allys are used r crrsn prtectn n nuts, blts, husngs, brackets, ther metal parts and cmpnents [23]. Thugh expensve, gld electrplatng prvdes nt nly crrsn, but als tarnsh prtectn [24]. Develpng and ptmzng cndtns r electrplatng s tme cnsumng and mdelng and smulatn culd be used t ptmze the electrdepstn prcess. Varus examples exst n the lterature *Crrespndence t: Anl Mahapatr, Department Bmedcal Engneerng, Wchta State Unversty, 1845 Farmunt Street, Wchta, KS 6726, USA, Tel: ; E-mal: anl.mahapatr@wchta.edu Key wrds: multphyscs mdelng, electrdepstn, electrplatng, C-Cr ally eceved: August 1, 218; Accepted: August 2, 218; Publshed: August 23, 218 Adv Mater Sc, 218 d: /AMS.1143 Vlume 3(2): 1-9

2 Mahapatr A (218) Mdelng and smulatn electrdepstn: Eect electrlyte current densty and cnductvty n electrplatng thckness that demnstrates the benets mdelng electrdepstn t predct platng utcmes [25-27]. Fr example Obad et al., mdeled the electrplatng hexavalent chrmum t ptmze the electrde spacng and ande heght t btan unrm thckness the catng [28]. Lss catng unrmty was bserved when the electrde spacng decreased whle greater electrde dstance ncreased the unrmty the rmed catng [28]. The smulatn results prved that an deal electrde separatn dstance was necessary t btan a unrm catng. It was als prved that, larger sze ande as cmpared t cathde resulted n a nn-unrm catng [28]. Hughes et al., demnstrated that the electrde knetcs played an mprtant rle n the electrdepstn prcess [29]. Electrde knetcs dened the depstn prcess usng the rate determnng step and current dstrbutns. Ther smulatn results prved that varables lke surace electrde ptental and the n cncentratn n the electrlyte als nluenced the knetcs asscated wth the depstn prcess [29]. Optmzatn electrdepstn new systems wuld requre ptmzatn prcess cndtns relevant t that system. Ths wuld requre sgncant changes t a mdel r develpng a new mdel specc t that system. Electrlyte current densty and cnductvty are mprtant parameters r an electrdepstn system as they dctate the verall ecency lw ns n the electrlyte system and thus ptmzatn these parameters s necessary. In ths manuscrpt we reprt the develpment a mathematcal mdel t predct the electr depstn cpper n cbalt chrme ally n an electrchemcal cell wth cpper and cbalt chrme ally as the electrdes and cpper sulate as the electrlyte. Theretcal descrptn and mdel develpment Gvernng equatns A mathematcal mdel was develped t predct the electrdepstn cpper n cbalt chrme ally and t evaluate the eect electrlyte current densty and cnductvty n electrplatng thckness. Electrplatng ccurs due t mass transprt n the slutn as a result mgratn n electrc eld, dusn n cncentratn gradent and cnvectn n a lw eld [3]. The transprt equatn whch was appled n the dusn layer was based n the lux equatn the nc speces n the slutn. The general mass balance equatn s gven belw N = z u Fc φ D c + V c (1) Where N - mlar lux, Z - charge number, U - mblty, F Faradays cnstant, C - cncentratn, D Dusvty, - ptental n the electrlyte, V - velcty The lux equatns explanng the behavr electrchemcal systems are related t the Secnd Law Thermdynamcs [31]. Cnsder tw neghbrng vlume elements V' and V'' a slutn that have same temperature and pressure but derent electrchemcal ptentals ther cnsttuents. The derence between the electrchemcal ptental speces, µ and µ, n these vlume elements mples that ths speces tends t mve rm ne vlume element t the ther as there s n dstrbutn equlbrum. Ths mtn speces rm ne vlume element t ts neghbr s genercally called transprt speces. As the transprt the derent speces n slutn takes place under thermal and mechancal equlbrum, the change n nternal energy U these tw vlume elements s du = TdS + µ dn (2) du = TdS + µ dn (3) Where T s the thermdynamc temperature, S s the entrpy and n the number mles speces. Cnsderng the exchange matter between V' and V'', whch takes place wthut energy exchange wth ther surrundngs, t s satsed that T ( ds + ds ) = ( µ µ ) dn (4) Each ndvdual term the sum s pstve when the transprt speces s nt cupled t transprt ther speces. In ths case, dn s determned nly by ( µ µ ) and speces mves twards the regn n whch ts electrchemcal ptental s lwer, that s, dn < when µ < µ and vce versa. Fr example, ths takes place n the case nc speces n dluted slutns. When the transprt derent speces s cupled, ne r mre terms n the sum culd be negatve, but the sum s always pstve. The transprt the speces s descrbed n terms ether ts velcty V r ts lux densty J = cv. I the area the surace between the tw vlume elements s da and ts rentatn s gven by the unt vectr ˆn (rm V t V ), the number mles speces crssng the surace n a tme dt s dn = J nˆ dadt. When the derence between µ and µ s nt very large, t can be assumed that the rate change the amunt speces, ( dn ) dt, s prprtnal t the derence µ - µ r t the gradent ths ptental nrmal t the surace, µ / ˆ n µ n. The velcty speces n lnear apprxmatn s expressed as V = u µ (5) Where u s ts mblty Flux densty takes the rm Dc J = cv = uc µ = µ (6) T Where s the unversal gas cnstant and the Ensten relatn between mblty and dusn cecent, D =u T, has been used. At cnstant temperature and pressure, the gradent µ s caused by the changes n cmpstn and electrcal ptental ø s that µ = T ln c + z F φ (7) Where F s the Faraday cnstant and z the charge number speces. Substtutng Equatn (7) n Equatn (6), the Nernst-Planck lux equatn N = D( c + zc φ ) (8) l s btaned, where dentes the rat F/T. The terms n the rghthand sde ths equatn represent the transprt mechansms dusn and mgratn, respectvely. Dusn s a cnsequence the randm thermal mtn the partcles whch makes the cncentratn all speces unrm. Mgratn causes the nluence the electrc eld, E = φ l, n the randm mtn the charged partcles, and Equatn (8) shws that the partcles a cmpnent ther velcty alng the drectn the electrc eld as a result ths nluence. Flux speces due t bulk lw n a mvng lud n X-drectn, ( F ) = uc (9) x Therere, the lux expressn r each speces can be wrtten as N = z u Fc φ D c + V C (1) l Where the nc mblty u, s assumed t be related t the dusn cecent D by the Nernst-Ensten equatn [32] Adv Mater Sc, 218 d: /AMS.1143 Vlume 3(2): 2-9

3 Mahapatr A (218) Mdelng and smulatn electrdepstn: Eect electrlyte current densty and cnductvty n electrplatng thckness The materal balance equatn r each nc speces at every pnt wthn the dusn layer s as llws c =. N + t (11) Where s the prductn rate speces due t hmgeneus chemcal reactns. Under the assumptn, varatns n cmpstn are neglgble n the electrlyte and mgratn ns gves the net cntrbutn t current n the electrlyte equatn. The cncentratn gradents n the abve equatns are neglected n the Secndary Current depstn nterace and the current densty s btaned rm Ohm s law d = σl φl (12) Where σ l dentes the electrlyte cnductvty. Snce the electrlyte cmpstn s assumed t be cnstant, the materal balances are unslved r the Secndary current dstrbutn, The electrneutralty cndtn s gven by the llwng expressn: = (13) n = zc Electrde knetcs Electrdepstn s a cmbnatn xdatn and reductn reactns ccurrng at the electrdes makng the electrde knetcs very sgncant r the mdelng electrdepstn. Cnsder the reactn gven belw: A B (14) K and K b are the rate cnstants the rward and backward reactns respectvely. eactn rates: The reactn rate, als knwn as rate reactn r speed reactn, r a reactant r prduct n a partcular reactn s dened as hw ast r slw a reactn ccurs. The rate rward reactn can be calculated by: = kc A (15) The rate backward reactn can be calculated by: b = kc b B (16) The net rate reactn can be calculated by: net = (17) b Substtutng equatns (15) and (16) n (17), we get net = kc A kc (18) b B Equlbrum: Equlbrum s pnt at whch the net reactn rate s zer. Frm the abve equatns, we can btan the equlbrum cncentratn rat as llws k CB = K = (19) k C b A Where K s the equlbrum cnstant (K) ate cnstant vares wth temperature, generally t ncreases wth T. The rate cnstant (K) and temperature are related by: K Ae ( Ea / T ) = (2) Where, E a =actvatn energy, =gas cnstant and A=pre expnental actr Actvatn energy: Actvatn energy [33] s the barrer that has t be vercme by the reactants bere they are cnverted t prduct. Mre energy s requred by the reactants when there s a larger barrer r the actvatn energy. K Ae ( Ea / T ) = (21) Expnent term ( E a / T e ) s a prbablstc eature the energy barrer cmpnent whch has t crssed. Pre expnental actr A, als knwn as requency actr, gves a number tmes the attempt was made t vercme the energy barrer cnsder the electrde reactn: + ne = (22) Where k and k b are the rward and backward reactn rate cnstants respectvely. Ths s a general redx reactn, where O represents xdzed state and represents reduced state. Fr ths reactn, the equlbrum state s gverned by the Nernst equatn, whch relates the equlbrum ptental the electrde (E eq ) t the cncentratn the reactants and prducts (O and ) η = E E (23) eq Overvltage: A gven current wll requre a penalty that shuld be pad n terms electrde ptental-penalty called vervltage [34] due t rreversblty. C = / ( ) Eeq E T nf ln C (24) E_eq s the expected electrde ptental and E s the electrde ptental η = a + blg (25) Where a and b are cnstants and I s the current densty. Ths s the Tael equatn. Knetcs electrde reactns ates rward and backward reactn + ne = (26) Fr the abve reactn, the rate the rward reactn s gven by: = k C (, t) = / nf (27) c Where C (,t) s the surace cncentratn O. ate the backward reactn s gven by: = K C (, t) = / nf (28) b b a eactn rate and current are crrelated. eductn ccurs at the cathde and xdatn at the ande. Net reactn rate: The net reactn rate r net current s gven by c a net = b = = = [ k C (, t) kc b (, t)] (29) nf nf Ptental dependence k and k b Bth k and k b are ptental dependent unctns The rward reactn, whch s a reductn, s an electrn acceptng prcess. The rate reactn ncreases when the electrde ptental reaches hgher negatve because the electrde lses electrns mre easly. The ppste happens n the backward reactn,.e., xdatn reactn. Adv Mater Sc, 218 d: /AMS.1143 Vlume 3(2): 3-9

4 Mahapatr A (218) Mdelng and smulatn electrdepstn: Eect electrlyte current densty and cnductvty n electrplatng thckness At equlbrum: The electrde ptental and xdatn and reductn cncentratns make net reactn rate zer. Thus: = ; (3) c a b It can als be wrtten as: kc(, t) = kc (, t) (31) b C (, t) ln( kb) ln( k ) = ln[ ] (32) C (, t ) Therere, callng n the Nernst equatn: C (, t) ln( k ) b ln( k ) = ln[ ] F / T ( E E ) C (, t) = (33) Upn derentatng the abve equatn wth respect t E, we get: [ ln( k )] [ (1 / )] / [ b ln k T F + [ ] = 1 E E (34) 1 α + α = 1 (35) The terms n the let hand sde the reactn sum up t 1 and called symmetry actrs (r ne electrn transer n the reactn). eductve and xdatve symmetry actrs The reductve symmetry actr s asscated wth the rward reactn whch s represented by α [ ln(1 / k )] T / F[ ] = α E The xdatve symmetry actr therere becmes (1-α) (36) { ln( k )} T / F[ b ] = 1 α (37) E The term α s the measure the symmetry energy barrer. I the change n the ptental s same n bth sdes the barrer, then α=.5=1- α. Any asymmetry n the change causes ractnal values α. Standard rate cnstants: 1 ln( ) = α FE / T + c (38) k I, k = k, then E=Eº k = k e Smlarly: k b [] α F [ ( )( E E )] T (39-a) = k e (39-b) b k and k b are termed as standard rate cnstants I the cncentratns xdatn and reductns are same, and the ptental s mantaned at Eº t cause any current lw: Frm abve equatn, k = k b The larger the value Kº, the aster s the equlbrum. eactns wth small standard rate cnstants are slw. The standard rate cnstant s large r smple redx cuples The Butler-Vlmer thery αnf (1 α) nf { {[ ]( E E )} { {[ ]( E E )} T T = nfk[ C(, te ) C(, te ) ] (4) Where n s the number electrns transerred. Ths s the Butler Vlmer [35] rmulatn electrde knetcs. There are tw cmpnents, current.e., andc and cathdc, and t s expnentally dependent n ptental. The net reactn rate s gven by: = / nf = [ k C (, t) k C (, t)] (41) net b = nf[ k C (, t) k C (, t)] (42) b Substtutng the values r k and k b αnf (1 α) nf { {[ ]( E E )} { {[ ]( E E )} T T = nfk[ C(, te ) C(, te ) ] (43) Ths rmulatn s called the Butler Vlmer rmulatn electrde knetcs At Equlbrum: nf {[ ]( nf E E )} {[ ]( E E )} T T C(, t) C(, te ) = [ k][ e ] (44) nf At equlbrum, = Thckness depstn The depstn prcess s assumed t take place thrugh the llwng smpled mechansm: 2+ + Cu e Cu + = (45) + Cu + e = Cu (46) The rst step s rate determnng step (DS), and the secnd step s assumed t be at equlbrum, whch gves the llwng relatn r the lcal current densty as a unctn ptental and cpper cncentratn: c ct = c 2 +, re Fn Cu Fn [exp exp ] T Cu T where n dentes the ver ptental dened as S, 1 eq (47) n = φ φ φ (48) where (s,) dentes the electrnc ptental the respectve electrde. Equatn at the cathde s gven by: 1.5 F( φ φ φ ) 1.5 F( φ φ φ ) 2F T Cu T. C 2+ S, cat 1 eq Cu - exp C 2 +, re exp S, cat 1 eq ] Cu2+ N n= (49) where n dentes the nrmal vectr t the bundary. Equatn at the ande s 1.5 F( φ φ φ ) Cu 1.5 F( φ φ φ ) 2F T Cu T C 2+ S, an 1 eq S, an 1 eq Cu2+. - exp C 2 +, re exp ] N n= (5) The amunt depstn s understd by the Faraday s laws electrlyss [36] whch states that the amunt a materal depsted n an electrde s prprtnal t the amunt electrcty used. Fr reductn ne mle a gven metal n (charge n + ), n mles electrns are used r reductn. The ttal cathdc charge r the catng, Q(C), s the prduct the number gram mles the metal cated, m, and the number electrns requred r the reductn reactn, n, Avgadr s number, N a (number atms n a mlecule), and the electrcal charge per electrn, Qe(C). Thus, charge requred t reduce m mles metal s gven by Q = mnn Qe (51) a Adv Mater Sc, 218 d: /AMS.1143 Vlume 3(2): 4-9

5 Mahapatr A (218) Mdelng and smulatn electrdepstn: Eect electrlyte current densty and cnductvty n electrplatng thckness The prduct Avgadr s number, N a (the number atms n a mle), and the electrcal charge per electrn, Qe(C) gves the Faraday cnstant, F. The number mles the metal reduced by charge Q s: m = Q / nf (52) The ttal charge used n the depstn can be calculated by the prduct the current, I (A), and the tme depstn, t (sec), where the depstn current s cnstant. When current vares wth tme durng the depstn prcess, Q can be calculated by, Q = I dt (53) The weght the depst, W(g), can be calculated by prduct the number mles metal reduced and atmc weght, Mw, the depsted metal s gven by: Mw W = I dt nf (54) The thckness the depstn, d (cm), can be slved by: W Mw d = I dt ρa = nfρa (55) Where s the densty the metal (g = cm 3 ) and A s the area depstn (cm 2 ). Bundary cndtns All bundares (B1 and B4) were nsulatng: N. n Cu 2 + = (56) Intal cndtns The ntal cndtns the electrlyte were: C 2 Cu + = C (57) Cmputer mplementatn and smulatn Fgure 1 shws the schematc representatn electrdpstn and the crrespndng mdel gemetry r smutaltn the electrdepstn prcess. Fnte element methds were used t dscretze the multphyscs gvernng equatns. A nte element slver stware COMSOL was used t smulate and predct platng thckness under vared prcess cndtns. The mdel was set as a tw demnsnal (2D) tme dependent mdel (Fgure 1). The depstn at cathde and the dsslvng the ande was set t take place at 1% current yeld. Durng the electrplatng prcess, changes n the electrlytc densty the electrchemcal cell ccurs whch wuld result n the change n the densty at ande and cathde. These changes culd nduced ree cnvectn n the cell, hwever based n ur assumptn that the varatn n cmpstn s small, the ree cnvectn cmpnent was neglected. The prcess was assumed t be tme dependent as the bundary the cathde was mvng as the depstn the metal was takng place. The mdel s gverned by mass cnservatn r the cpper ns Cu 2+ and sulphate SO 4-2 and the electrneutralty cndtn. The upper bundary represented ande, and cathde was placed at the bttm. The vertcal walls were assumed t be nsulated (Fgure 1). Expermental methds The develped mathematcal mdel was valdated expermentally. The electrplatng Cpper n Cbalt-Chrme was cnducted n a electrlytc cell. The electrlytc slutn was prepared wth 1 gms. CuSO 4 n 1 ml dstlled water and 7 ml 1N H 2 SO 4. The Fgure 1. Schematc Depctn Electrdepstn (tp) and Crrespndng Mdel Gemetry r Smulatn the Electrdepstn Prcess (bttm) slutn was kept n the strrer t mx hmgenusly. A cbalt chrme strp 14 cm 14 cm was taken and an mmersn area 1.4 cm 1.4 cm cm was used and cpper strp 14 cm 14 cm was taken and an mmersn area 1cm 1cm was used. The cpper strp was cnnected t the ande and the cbalt chrme was cnnected t the cathde were mmersed n the electrlyte and then current was passed. Electrplatng was cnducted under varyng electrlyte cnductvtes such as; 4.23 S/ m 2,1.9 S/m 2,.93 S/m 2 and.54 S/m 2 and varyng current denstes such as; (A/m 2 ), (A/m 2 ) and (A/m 2 ). Pst depstn the samples were ar dred and characterzed r catng thckness. The samples were characterzed wth Scannng electrn mcrscpe () and a thckness gauge. Fr thckness analyss usng acrss sectnal vew the cated sample was taken and the thckness the catng determned. Fur replcates were carred ut and the catng thckness values were reprted as mean +/- standard devatn (SD). An analyss varance, ANNOVA (tw way/ne way) was used t determne statstcal sgncant derences at the 95% cndence level. esults and Dscussn Fgure 2 shws the thckness change the electrdepsted cpper n cbalt chrme ally versus tme as predcted by the develped mathematcal mdel. Frm the smulated results (Fgure 2) we see that Adv Mater Sc, 218 d: /AMS.1143 Vlume 3(2): 5-9

6 Mahapatr A (218) Mdelng and smulatn electrdepstn: Eect electrlyte current densty and cnductvty n electrplatng thckness Eect current densty n catng thckness T evaluate the eect current densty n catng thckness the mdel was used t smulate and predct the electrplatng thckness at three derent current denstes. Ths experment was cnducted wth derent current denstes at an electrlyte cnductvty 4.23 S/m 2 n 1.4 cm 1.4 cm area cntact. The derent current denstes used were (A/m 2 ), (A/m 2 ) and (A/m 2 ). The expermental and predcted values are shwn n gure 5 r duratn 46 mnutes. Fgure 2. Electrdepsted cpper catng thckness change n cathde as a unctn tme r the rst 5 sec the catng hasn t started, as the tme ges by we see a steady catng Cu n C-Cr. At the end 3 sec we see the predcted catng thckness n C-Cr t be.19 mm. T valdate the mdel an electrdepstn experment was carred ut wth same parameters as the mdel predctn r duratn 3mn (18 secs). Electrlyte test parameters r ths experments ncluded an electrlyte cnductvty 4.23 S/m 2, current densty (A/m 2 ) and a 1.4 cm 1.4 cm area cntact. Fur replcates were carred ut t evaluate the varance test results. The samples were characterzed wth Scannng electrn mcrscpe () and a thckness gauge t measure the thckness the catngs rmed. Fgure 3 shws a representatve mage used r calculatn the catng thckness whle the thckness gauge was drectly used n the sample t measure the thckness. Fr each sample measurement readngs were taken at ur derent pnts and the average reprted. Fgure 4 shws the cmparsn mdeled (smulated) thckness and expermentally btaned thckness values. Frm gure 4 and table 1, t can be seen that at 3 mn the mdel predcted the cpper thckness t be 11.7 µm (.117 mm) whle expermentally the average catng thckness was und t be / (mean +/- SD) usng and /-1.36 (mean +/- SD) usng thckness gauge. Fgure 4 shws that there was lt varatn thckness values when usng as cmpared t the thckness gauge. It can be seen (Fgure 4) that the thckness gauge measurement values ( /-1.36) were und t be clser t the predcted values (11.7) as cmpared t that thckness values (9.445+/-1.79). Ths varatn culd be attrbuted t the challenges asscated wth usng the r measurng catng thckness. In a precse crss sectnal vew was requred t measure the thckness accurately. Devatn rm an accurate crss sectnal vew (9O) culd result n varatn thckness values. Als the layer was nt unrm t culd cause varatn n the thckness values measured. Thckness gauge measurements were relatvely cnsstent n ts measurements. Hwever the relatve accuracy the predcted and expermental values valdates ur mdel. Ths demnstrates the prelmnary applcablty the mdel n predctng electr depstn cpper n cbalt chrme substrate. Frm gure 5 and table 2 we can see that the mdel predcted a catng thckness 17.3, 17.6 and 18 mcrmeters at current densty (A/m 2 ), (A/m 2 ) and (A/m 2 ) respectvely. The mdel thus predcts neglgble derences wth changes n current densty. The expermental value the catng thckness cnducted under same cndtns shwed sgncant derences when cmpared t the smulated values. Fgure 5 shwed expermental values t be lwer than smulated cndtns at lwer current denstes (A/m 2 ) and (A/m 2 ) whle expermental values were hgher than smulated values at hgher current densty (A/m 2 ). Ths can be explaned by the rmatn an electrchemcal duble layer surrundng the electrdes whch plays a crtcal rle n the dusn ns rm and twards the electrdes. The phenmenn electrchemcal duble layer and ts eect n dusn ns has been well dcumented n the lterature [37-39]. At lwer current densty there wll be a hgher resstance rm the duble layer resultng n ewer ns gng thrugh the duble layer resultng n lwer catng values. Whle at hgher current densty the ns vercme the resstance the duble layer whch results n hgher catng thckness. The develped smulated mdel currently des nt accunt r the duble layer Table 1. Expermental valdatn mathematcal mdel Current Thckness (mcrmeter) at 3 mn (18 secs) Smulatn Sample 1.7 A / /-.29 Sample 2.7 A / /-.48 Sample 3.7 A / /-1.85 Sample 4.7 A / /-.85 Average / /-1.36 Table 2. Eect current densty n catng thckness Thckness (mcrmeter) Current Densty E+2 (A/m 2 ) Tme (mn) Smulatn /-.9 5+/ / / / / / /-.73 Current Densty E+2 (A/m 2 ) Tme (mn) Smulatn / /-.37 Current Densty E+2 (A/m 2 ) Tme (mn) Smulatn / / / / / / / /-1.25 Adv Mater Sc, 218 d: /AMS.1143 Vlume 3(2): 6-9

7 Mahapatr A (218) Mdelng and smulatn electrdepstn: Eect electrlyte current densty and cnductvty n electrplatng thckness r shrter perd tme (25 mns) whle r lnger perd the mdel predcted lwer values as cmpared expermental values btaned. Fr current densty (A/m 2 ) the smulated mdel verpredcted the catng thckness r all tme duratns. These behavrs can agan be explaned by the electrchemcal duble layer. At scenars where the resstance the duble layer s prmnent the mdel under predcts the expermental values and at lnger perds tme the mdel als ver predcts the expermental value. Fgure 3. epresentatve mages that were used r evaluatng elecrdepsted cpper catng thckness Catng thckness (mcrmeters) Smula n Sample 1 Sample 2 Sample 3 Sample 4 Fgure 4. Cmparsn mdeled and expermentally determned electrdepsted cpper catng thckness values Eect electrlyte cnductvty n catng thckness Ths expermental test was cnducted wth derent electrcal cnductvtes the electrlyte keepng the ther parameters cnstant (duratn 46 mns and current densty (A/m 2 ). The electrlyte cnductvty evaluated were 4.23 S/m 2, 1.9 S/m 2,.93 S/m 2 and.54 S/m 2 n a 1.4 cm 1.4 cm area cntact. The results rm the experment are tabulated n Table 3. Table 3 shws a decreasng trend n the smulated thckness catngs wth decrease n the electrcal cnductvty the electrlyte. Expermental determnatn the catng under smlar cndtns resulted n a catng under ne cndtn (4.23 S/m 2 ), whle the catng ether was nt unrmly rmed r nt rmed at all under ther cndtns (1.9,.93 and.54 S/m 2 ). Thus althugh the mdel accurately predcted the general trends, expermental bservatns ndcated dcultes n rmng a unrm catng at thse electrlyte cnductvtes (1.9,.93 and.54 S/m 2 ). Thus bth the mdel and experments ndcates the requrement apprprate electrlyte cnductvty r the electrdepstn t ccur. Lack apprprate cnductvty wuld hnder lw ns wthn the electrlyte slutn leadng t dcultes n rmatn a unrm catng. Summary and Cnclusns In summary we have develped a mathematcal mdel t smulate the electrdepstn cpper n cbalt-chrme ally. At 3 mn the Table 3. Electrdepstn catng at varyng electrlyte cnductvtes Thckness (mcrmeter) Cnductvty (S/m 2 ) Smulatn ±.37 2 NA NA ±.47 NA NA NA NA: catng nt unrmty rmed Fgure 5. Smulated and expermental catng thckness at varyng current denstes at 46 mnutes rmatn and ts eect n catng thckness. Ths s smethng that wll be needed t be ncrprated t smulate mre accurate predctns ver a wde range n current denstes. Cmparng and gauge thckness values we see smlar hgher derence wth larger catng thckness as cmpared t lwer thckness due t larger varances measurements as dscussed prevusly. Fgure 6 and gure 7 shws the catng thckness vs tme r current densty (a/m 2 ) and (a/m 2 ) respectvely. bth gures 6 and 7 shws a general trend ncreasng catng thckness wth ncrease tme perd depstn. Fr current densty (A/m 2 ) the smulated mdel clsely predcted the catng thckness Fgure 6. Smulated and expermental electrplatng thckness vs. tme at current densty A/m 2 Adv Mater Sc, 218 d: /AMS.1143 Vlume 3(2): 7-9

8 Mahapatr A (218) Mdelng and smulatn electrdepstn: Eect electrlyte current densty and cnductvty n electrplatng thckness 8. Odette G, Wrth BD, Bacn DJ, Ghnem NM (21) Multscale-Multphyscs Mdelng adatn-damaged Materals: Embrttlement Pressure-Vessel Steels. MS Bull 26: Altug Y, Wagner AB (212) Surce and Channel Smulatn Usng Arbtrary andmness. IEEE Trans In Thery 58: Evstgneev IV, Schürger K (1994) A lmt therem r randm matrces wth a multparameter and ts applcatn t a stchastc mdel a large ecnmy. Stch Prcess Ther Appl 52: Tanaka H, Watada J (1988) Pssblstc lnear systems and ther applcatn t the lnear regressn mdel. Fuzzy Sets and Systems 27: Albrecht P (1983) Parametrc multple regressn rsk mdels: Thery and statstcal analyss. Insurance: Mathematcs and Ecnmcs 2: La Y (29) Adaptve Mnte Carl methds r matrx equatns wth applcatns. J Cmput Appl Math 231: Fgure 7. Smulated and expermental electrplatng thckness vs. tme at current densty A/m 2 mdel predcted the cpper thckness t be 11.7 µm whle expermentally the catng thckness was und t be /-1.79 (mean +/- SD) usng and /-1.36 (mean +/- SD) usng thckness gauge. The relatve accuracy the predcted and expermental values valdates ur mdel. Ths demnstrates the prelmnary applcablty the mdel n predctng electr depstn cpper n cbalt chrme substrate. When predctng eect current densty the mdel accurately predcts general trends hwever the mdel seems t vary rm expermental values n regns where there s sgncant eect the electrchemcal duble layer that the mdel des nt accunt r. The mdel accurately predcts the trend eect electrlyte cnductvty n catng rmatn. The mdel can thus be used as a startng pnt t predct eect prcess parameters n electrdepstn thckness hwever mdcatns are needed t ncrprate expermental realtes nt accunted r n the mdel. Acknwledgement Ths materal s based upn wrk supprted by the Natnal Scence Fundatn under award Number EPS-9386 and matchng supprt rm the State Kansas thrugh the Kansas Bard egents. The authrs wuld als lke t acknwledge Wchta State Unversty r partal nancal supprt materals and supples r ths wrk. eerences 1. Carln K, Andreas B, Elham A (213) Fundamental cnsldatn mechansms durng selectve beam meltng pwders. Mdel Smul Mat Sc Eng 21: Lee K, Fshwck PA (21) Buldng a mdel r real-tme smulatn. Future Generatn Cmputer Systems 17: Kresse G, Haner J (1994) Ab nt mlecular-dynamcs smulatn the lqud-metal amrphus-semcnductr transtn n germanum. Phys ev B Cndens Matter 49: [Crssre] 4. Dcknsn EJF, Ekström H, Fntes E (214) COMSOL Multphyscs : Fnte element stware r electrchemcal analyss. A mn-revew. Electrchem Cmm 4: Levytskyy A, Vangheluwe H, thkrantz LJM, Kppelaar H (29) MDE and custmzatn mdelng and smulatn web applcatns. Smul Mdellng Pract Thery 17: Hendersn SG, Nelsn BL (26) Chapter 1 Stchastc Cmputer Smulatn. In: Shane GH and Barry LN, (eds.). Handbks n Operatns esearch and Management Scence. Elsever, p nard IH (1996) Cre mdels, crdnatrs, and cnnectrs n the dynamc mdelng and smulatn multphase systems. Cmput Chem Eng 2: S969-S L Y, Chang HD, Ch BK, Chen YT, Huang DH, et al. (28) Lad mdels r mdelng dynamc behavrs reactve lads: Evaluatn and cmparsn. Int J Electr Pwer Energy Syst 3: Menert TS, Dn Taylr G, Englsh J (1999) A mdular smulatn apprach r autmated materal handlng systems. Smul Mdellng Pract Thery 7: Datta A, akesh V (29) An Intrductn t Mdelng Transprt Prcesses. Cambrdge Unversty Press. 17. Basle A, Bhatt AI, O Mullane AP, Bhargava SK (211) An nvestgatn slver electrdepstn rm nc lquds: Inluence atmspherc water uptake n the slver electrdepstn mechansm and lm mrphlgy. Electrchmca Acta 56: Zheng Z, Stephens M, Braatz D, Alkre C, Petzld L (28) A hybrd multscale knetc Mnte Carl methd r smulatn cpper electrdepstn. J Cmput Phys 227: Mahapatr A, Kumar SS (215) Determnatn Inc Lqud and Magnesum Cmpatblty va Mcrscpc Evaluatns. J Adv Mcrsc es 1: Abdel-Fattah TM, Lts JD, Mahapatr A (215) Nanscale Electrchemcal Plshng and Precndtnng Bmetallc Nckel-Ttanum Allys. Nansc Nantechnl 5: Lu HH, Huang YL (23) Herarchcal decsn makng r practve qualty cntrl: system develpment r deect reductn n autmtve catng peratns. Eng Appl Art Intell 16: Mette A, Schetter C, Wssen D, Lust S, Glunz SW, et al. (26) Increasng the Ecency Screen-Prnted Slcn Slar Cells by Lght-Induced Slver Platng. Phtvltac Energy Cnversn, Cnerence ecrd the 26 IEEE 4th Wrld Cnerence n. p Wanpng C, Lngtu L, Zhlun G (1997) Eects Electrless Nckel Platng n esstvty-temperature Characterstcs (Ba 1-x Pb x )TO 3 thermstr. J Mater es 12: Krumben S, Antler M (1968) Crrsn Inhbtn and Wear Prtectn Gld Plated Cnnectr Cntacts. IEEE Transactns n Parts, Materals and Packagng 4: Mandn P, Faban C, Lnct D (26) Imprtance the densty gradent eects n mdellng electr depstn prcess at a rtatng cylnder electrde. Electrchmca Acta 51: Decnnck J (1994) Mathematcal mdellng electrde grwth. J Appl Electrchem 24: Hughes M, Strussevtch N, Baley C, McManus K, Kaumann J, et al. (21) Numercal algrthms r mdellng electrdepstn: Trackng the depstn rnt under rced cnvectn rm megasnc agtatn. Int J Numer Methds Fluds 64: Obad N, Svakumaran, Lu J, Okunade A (213) Mdellng the Electrplatng Hexavalent Chrmum. COMSOL Cnerence. Bstn, USA. 29. Hughes M, Baley C, McManus K (27) Mult Physcs Mdellng the Electrdepstn Prcess. Thermal, Mechancal and Mult-Physcs Smulatn Experments n Mcrelectrncs and Mcr-Systems, 27. EurSme 27 Internatnal Cnerence n. Pp: Brd B, Stewart WE, Lghtt EN (27) Transprt phenmena. New Yrk: Jhn Wley and Sns, pp Martell AE (1946) Entrpy and the secnd law thermdynamcs. J Chem Educ 23: 166. Adv Mater Sc, 218 d: /AMS.1143 Vlume 3(2): 8-9

9 Mahapatr A (218) Mdelng and smulatn electrdepstn: Eect electrlyte current densty and cnductvty n electrplatng thckness 32. Lu X (1997) Applcatn the Nernst-Ensten equatn t cncrete. Cem Cncr es 27: Ca J, Jn C, Yang S, Chen Y (211) Lgstc dstrbuted actvatn energy mdel Part 1: Dervatn and numercal parametrc study. Bresur Technl 12: Seyed H, Abam Z and Glab S (212) Cmprehensve Analyss the Impacts Derent Parameters n Transmssn Lne Swtchng Overvltages. Internatnal evew n Mdellng and Smulatns 5: Nren DA, Hman MA (25) Claryng the Butler Vlmer equatn and related apprxmatns r calculatng actvatn lsses n sld xde uel cell mdels. J Pwer Surces 152: Kamata M, Paku M (27) Explrng Faraday's Law Electrlyss Usng Znc Ar Batteres wth Current egulatve Ddes. J Chem Educ 84: Marchev VA (1991) A new pssblty applcatn electrn tunnelng eects n electrchemcal duble layer structure nvestgatns. Surace Scence 25: Su YZ, Fu YC, We YM, Yan JW, Ma BW (21) The Electrde/Inc Lqud Interace: Electrc Duble Layer and Metal Electrdepstn. Chem Phys Chem 11: Sh H (1996) Actvated carbns and duble layer capactance. Electrchmca Acta 41: Cpyrght: 218 Mahapatr A. Ths s an pen-access artcle dstrbuted under the terms the Creatve Cmmns Attrbutn Lcense, whch permts unrestrcted use, dstrbutn, and reprductn n any medum, prvded the rgnal authr and surce are credted. Adv Mater Sc, 218 d: /AMS.1143 Vlume 3(2): 9-9

V. Electrostatics Lecture 27a: Diffuse charge at electrodes

V. Electrostatics Lecture 27a: Diffuse charge at electrodes V. Electrstatcs Lecture 27a: Dffuse charge at electrdes Ntes by MIT tudent We have talked abut the electrc duble structures and crrespndng mdels descrbng the n and ptental dstrbutn n the duble layer. Nw

More information

Chapter 7. Systems 7.1 INTRODUCTION 7.2 MATHEMATICAL MODELING OF LIQUID LEVEL SYSTEMS. Steady State Flow. A. Bazoune

Chapter 7. Systems 7.1 INTRODUCTION 7.2 MATHEMATICAL MODELING OF LIQUID LEVEL SYSTEMS. Steady State Flow. A. Bazoune Chapter 7 Flud Systems and Thermal Systems 7.1 INTODUCTION A. Bazune A flud system uses ne r mre fluds t acheve ts purpse. Dampers and shck absrbers are eamples f flud systems because they depend n the

More information

Chapter 6 : Gibbs Free Energy

Chapter 6 : Gibbs Free Energy Wnter 01 Chem 54: ntrductry hermdynamcs Chapter 6 : Gbbs Free Energy... 64 Defntn f G, A... 64 Mawell Relatns... 65 Gbbs Free Energy G(,) (ure substances)... 67 Gbbs Free Energy fr Mtures... 68 ΔG f deal

More information

element k Using FEM to Solve Truss Problems

element k Using FEM to Solve Truss Problems sng EM t Slve Truss Prblems A truss s an engneerng structure cmpsed straght members, a certan materal, that are tpcall pn-ned at ther ends. Such members are als called tw-rce members snce the can nl transmt

More information

Conduction Heat Transfer

Conduction Heat Transfer Cnductn Heat Transfer Practce prblems A steel ppe f cnductvty 5 W/m-K has nsde and utsde surface temperature f C and 6 C respectvely Fnd the heat flw rate per unt ppe length and flux per unt nsde and per

More information

Physic 231 Lecture 33

Physic 231 Lecture 33 Physc 231 Lecture 33 Man pnts f tday s lecture: eat and heat capacty: Q cm Phase transtns and latent heat: Q Lm ( ) eat flw Q k 2 1 t L Examples f heat cnductvty, R values fr nsulatrs Cnvectn R L / k Radatn

More information

BME 5742 Biosystems Modeling and Control

BME 5742 Biosystems Modeling and Control BME 5742 Bsystems Mdeln and Cntrl Cell Electrcal Actvty: In Mvement acrss Cell Membrane and Membrane Ptental Dr. Zv Rth (FAU) 1 References Hppensteadt-Peskn, Ch. 3 Dr. Rbert Farley s lecture ntes Inc Equlbra

More information

ME2142/ME2142E Feedback Control Systems. Modelling of Physical Systems The Transfer Function

ME2142/ME2142E Feedback Control Systems. Modelling of Physical Systems The Transfer Function Mdellng Physcal Systems The Transer Functn Derental Equatns U Plant Y In the plant shwn, the nput u aects the respnse the utput y. In general, the dynamcs ths respnse can be descrbed by a derental equatn

More information

SIMULATION OF THREE PHASE THREE LEG TRANSFORMER BEHAVIOR UNDER DIFFERENT VOLTAGE SAG TYPES

SIMULATION OF THREE PHASE THREE LEG TRANSFORMER BEHAVIOR UNDER DIFFERENT VOLTAGE SAG TYPES SIMULATION OF THREE PHASE THREE LEG TRANSFORMER BEHAVIOR UNDER DIFFERENT VOLTAGE SAG TYPES Mhammadreza Dlatan Alreza Jallan Department f Electrcal Engneerng, Iran Unversty f scence & Technlgy (IUST) e-mal:

More information

Chapter 3, Solution 1C.

Chapter 3, Solution 1C. COSMOS: Cmplete Onlne Slutns Manual Organzatn System Chapter 3, Slutn C. (a If the lateral surfaces f the rd are nsulated, the heat transfer surface area f the cylndrcal rd s the bttm r the tp surface

More information

CTN 2/23/16. EE 247B/ME 218: Introduction to MEMS Design Lecture 11m2: Mechanics of Materials. Copyright 2016 Regents of the University of California

CTN 2/23/16. EE 247B/ME 218: Introduction to MEMS Design Lecture 11m2: Mechanics of Materials. Copyright 2016 Regents of the University of California Vlume Change fr a Unaxal Stress Istrpc lastcty n 3D Istrpc = same n all drectns The cmplete stress-stran relatns fr an strpc elastc Stresses actng n a dfferental vlume element sld n 3D: (.e., a generalzed

More information

CHAPTER 3 ANALYSIS OF KY BOOST CONVERTER

CHAPTER 3 ANALYSIS OF KY BOOST CONVERTER 70 CHAPTER 3 ANALYSIS OF KY BOOST CONERTER 3.1 Intrductn The KY Bst Cnverter s a recent nventn made by K.I.Hwu et. al., (2007), (2009a), (2009b), (2009c), (2010) n the nn-slated DC DC cnverter segment,

More information

Lecture 12. Heat Exchangers. Heat Exchangers Chee 318 1

Lecture 12. Heat Exchangers. Heat Exchangers Chee 318 1 Lecture 2 Heat Exchangers Heat Exchangers Chee 38 Heat Exchangers A heat exchanger s used t exchange heat between tw fluds f dfferent temperatures whch are separated by a sld wall. Heat exchangers are

More information

Nomenclature: number of electrons e -1. electron charge F constant number, (columbs/moles of e -1 ) atomic number g

Nomenclature: number of electrons e -1. electron charge F constant number, (columbs/moles of e -1 ) atomic number g Quanttatve Analyss f Irreversbltes Causes Vltage Drp n Fuel cell (Smulatn) Hssen Ghadaman*, Dr. Yadlah Sabh** Department f Energy Engneerng, Scence and Research Branch Azad Unversty, Islamc Republc f IRAN

More information

WYSE Academic Challenge 2004 Sectional Physics Solution Set

WYSE Academic Challenge 2004 Sectional Physics Solution Set WYSE Acadec Challenge 004 Sectnal Physcs Slutn Set. Answer: e. The axu pssble statc rctn r ths stuatn wuld be: ax µ sn µ sg (0.600)(40.0N) 4.0N. Snce yur pushng rce s less than the axu pssble rctnal rce,

More information

Analytical Modeling of Natural Convection in Horizontal Annuli

Analytical Modeling of Natural Convection in Horizontal Annuli Analytcal Mdelng f Natural Cnvectn n Hrzntal Annul Peter Teertstra, M. Mchael Yvanvch, J. Rchard Culham Mcrelectrncs Heat Transfer Labratry Department f Mechancal Engneerng Unversty f Waterl Waterl, Ontar,

More information

Thermodynamics of Materials

Thermodynamics of Materials Thermdynamcs f Materals 14th Lecture 007. 4. 8 (Mnday) FUGACITY dg = Vd SdT dg = Vd at cnstant T Fr an deal gas dg = (RT/)d = RT dln Ths s true fr deal gases nly, but t wuld be nce t have a smlar frm fr

More information

Transient Conduction: Spatial Effects and the Role of Analytical Solutions

Transient Conduction: Spatial Effects and the Role of Analytical Solutions Transent Cnductn: Spatal Effects and the Rle f Analytcal Slutns Slutn t the Heat Equatn fr a Plane Wall wth Symmetrcal Cnvectn Cndtns If the lumped capactance apprxmatn can nt be made, cnsderatn must be

More information

Wp/Lmin. Wn/Lmin 2.5V

Wp/Lmin. Wn/Lmin 2.5V UNIVERITY OF CALIFORNIA Cllege f Engneerng Department f Electrcal Engneerng and Cmputer cences Andre Vladmrescu Hmewrk #7 EEC Due Frday, Aprl 8 th, pm @ 0 Cry Prblem #.5V Wp/Lmn 0.0V Wp/Lmn n ut Wn/Lmn.5V

More information

Water vapour balance in a building moisture exposure for timber structures

Water vapour balance in a building moisture exposure for timber structures Jnt Wrkshp f COST Actns TU1 and E55 September 21-22 9, Ljubljana, Slvena Water vapur balance n a buldng msture expsure fr tmber structures Gerhard Fnk ETH Zurch, Swtzerland Jchen Köhler ETH Zurch, Swtzerland

More information

A New Method for Solving Integer Linear. Programming Problems with Fuzzy Variables

A New Method for Solving Integer Linear. Programming Problems with Fuzzy Variables Appled Mathematcal Scences, Vl. 4, 00, n. 0, 997-004 A New Methd fr Slvng Integer Lnear Prgrammng Prblems wth Fuzzy Varables P. Pandan and M. Jayalakshm Department f Mathematcs, Schl f Advanced Scences,

More information

_J _J J J J J J J J _. 7 particles in the blue state; 3 particles in the red state: 720 configurations _J J J _J J J J J J J J _

_J _J J J J J J J J _. 7 particles in the blue state; 3 particles in the red state: 720 configurations _J J J _J J J J J J J J _ Dsrder and Suppse I have 10 partcles that can be n ne f tw states ether the blue state r the red state. Hw many dfferent ways can we arrange thse partcles amng the states? All partcles n the blue state:

More information

6. ELUTRIATION OF PARTICLES FROM FLUIDIZED BEDS

6. ELUTRIATION OF PARTICLES FROM FLUIDIZED BEDS 6. ELUTRIATION OF PARTICLES FROM FLUIDIZED BEDS Elutratn s the prcess n whch fne partcles are carred ut f a fludzed bed due t the flud flw rate passng thrugh the bed. Typcally, fne partcles are elutrated

More information

Approach: (Equilibrium) TD analysis, i.e., conservation eqns., state equations Issues: how to deal with

Approach: (Equilibrium) TD analysis, i.e., conservation eqns., state equations Issues: how to deal with Schl f Aerspace Chemcal D: Mtvatn Prevus D Analyss cnsdered systems where cmpstn f flud was frzen fxed chemcal cmpstn Chemcally eactng Flw but there are numerus stuatns n prpulsn systems where chemcal

More information

THE KINETICS OF SILVER IODIDE FILM FORMATION ON THE SILVER ANODE

THE KINETICS OF SILVER IODIDE FILM FORMATION ON THE SILVER ANODE Electrchmca Acta, Vl. 27. N., pp. 439 443, 982. Prnted n Great Brtan. 3 4686,82. 439-5 $3.. 982. Pergamn Press Ltd. THE KINETICS OF SILVER IODIDE FILM FORMATION ON THE SILVER ANODE VIOLA I. BIRSS Chemstry

More information

Advances in Engineering Research (AER), volume 102 Second International Conference on Mechanics, Materials and Structural Engineering (ICMMSE 2017)

Advances in Engineering Research (AER), volume 102 Second International Conference on Mechanics, Materials and Structural Engineering (ICMMSE 2017) Secnd Internatnal Cnference n Mechancs, Materals and Structural Engneerng (ICMMSE 2017) Materal Selectn and Analyss f Ol Flm Pressure fr the Flatng Rng Bearng f Turbcharger Lqang PENG1, 2, a*, Hupng ZHENG2,

More information

IGEE 401 Power Electronic Systems. Solution to Midterm Examination Fall 2004

IGEE 401 Power Electronic Systems. Solution to Midterm Examination Fall 2004 Jós, G GEE 401 wer Electrnc Systems Slutn t Mdterm Examnatn Fall 2004 Specal nstructns: - Duratn: 75 mnutes. - Materal allwed: a crb sheet (duble sded 8.5 x 11), calculatr. - Attempt all questns. Make

More information

Introduction to Electronic circuits.

Introduction to Electronic circuits. Intrductn t Electrnc crcuts. Passve and Actve crcut elements. Capactrs, esstrs and Inductrs n AC crcuts. Vltage and current dvders. Vltage and current surces. Amplfers, and ther transfer characterstc.

More information

Chem 204A, Fall 2004, Mid-term (II)

Chem 204A, Fall 2004, Mid-term (II) Frst tw letters f yur last name Last ame Frst ame McGll ID Chem 204A, Fall 2004, Md-term (II) Read these nstructns carefully befre yu start tal me: 2 hurs 50 mnutes (6:05 PM 8:55 PM) 1. hs exam has ttal

More information

Spring 2002 Lecture #17

Spring 2002 Lecture #17 1443-51 Sprng 22 Lecture #17 r. Jaehn Yu 1. Cndtns fr Equlbrum 2. Center f Gravty 3. Elastc Prpertes f Slds Yung s dulus Shear dulus ulk dulus Tday s Hmewrk Assgnment s the Hmewrk #8!!! 2 nd term eam n

More information

Section 3: Detailed Solutions of Word Problems Unit 1: Solving Word Problems by Modeling with Formulas

Section 3: Detailed Solutions of Word Problems Unit 1: Solving Word Problems by Modeling with Formulas Sectn : Detaled Slutns f Wrd Prblems Unt : Slvng Wrd Prblems by Mdelng wth Frmulas Example : The factry nvce fr a mnvan shws that the dealer pad $,5 fr the vehcle. If the stcker prce f the van s $5,, hw

More information

C. Ozgur Colpan Ibrahim Dincer Feridun Hamdullahpur

C. Ozgur Colpan Ibrahim Dincer Feridun Hamdullahpur THERMODYNAMIC MODELING O DIRECT INTERNAL REORMING PLANAR SOLID OXIDE UEL CELLS WITH ANODE RECIRCULATION C. Ozgur Clpan Ibrahm Dncer erdun Hamdullahpur OUTLINE INTRODUCTION TO SOCs Advantages, dsadvantages

More information

Circuits Op-Amp. Interaction of Circuit Elements. Quick Check How does closing the switch affect V o and I o?

Circuits Op-Amp. Interaction of Circuit Elements. Quick Check How does closing the switch affect V o and I o? Crcuts Op-Amp ENGG1015 1 st Semester, 01 Interactn f Crcut Elements Crcut desgn s cmplcated by nteractns amng the elements. Addng an element changes vltages & currents thrughut crcut. Example: clsng a

More information

On the concentration dependence of the surface tension of liquid metallic alloys Theoretical basis Hungary, Miskolc, Egyetemvaros.

On the concentration dependence of the surface tension of liquid metallic alloys Theoretical basis Hungary, Miskolc, Egyetemvaros. On the cncentratn dependence the surace tensn lqud metallc allys heretcal bass 1 G.Kaptay, kmkap@gld.un-msklc.hu 2 Z.Papp zltanp@da.ed.ac.uk 1 Pressr at the Department Physcal Chemstry the Unversty Msklc

More information

Feedback Principle :-

Feedback Principle :- Feedback Prncple : Feedback amplfer s that n whch a part f the utput f the basc amplfer s returned back t the nput termnal and mxed up wth the nternal nput sgnal. The sub netwrks f feedback amplfer are:

More information

PT326 PROCESS TRAINER

PT326 PROCESS TRAINER PT326 PROCESS TRAINER 1. Descrptn f the Apparatus PT 326 Prcess Traner The PT 326 Prcess Traner mdels cmmn ndustral stuatns n whch temperature cntrl s requred n the presence f transprt delays and transfer

More information

Natural Convection in a Horizontal Annulus with Oscillating Inner Cylinder Using Lagrangian-Eulerian Kinematics

Natural Convection in a Horizontal Annulus with Oscillating Inner Cylinder Using Lagrangian-Eulerian Kinematics Natural Cnvectn n a Hrzntal Annulus wth Oscllatng Inner Cylnder Usng Lagrangan-Euleran Knematcs Esam M. Alawadh Kuwat Unversty Mechancal Engneerng Department P. O. Bx # 5969, Safat, 3060 KUWAIT Abstract

More information

55:041 Electronic Circuits

55:041 Electronic Circuits 55:04 Electrnc Crcuts Feedback & Stablty Sectns f Chapter 2. Kruger Feedback & Stablty Cnfguratn f Feedback mplfer S S S S fb Negate feedback S S S fb S S S S S β s the feedback transfer functn Implct

More information

A Proposal of Heating Load Calculation considering Stack Effect in High-rise Buildings

A Proposal of Heating Load Calculation considering Stack Effect in High-rise Buildings A Prpsal f Heatng Lad Calculatn cnsderng Stack Effect n Hgh-rse Buldngs *Dsam Sng 1) and Tae-Hyuk Kang 2) 1) Department f Archtectural Engneerng, Sungkyunkwan Unversty, 2066 Sebu-r, Jangan-gu, Suwn, 440-746,

More information

3-42. Chapter 15 Steady Heat Conduction. Heat Conduction in Cylinders and Spheres

3-42. Chapter 15 Steady Heat Conduction. Heat Conduction in Cylinders and Spheres Chapter 5 Steady Heat Cnductn Heat Cnductn n Cylnders and Spheres 3-64C When the dameter f cylnder s very small cmpared t ts length, t can be treated as an ndefntely lng cylnder. Cylndrcal rds can als

More information

Phys 344 Ch 5 Lect 4 Feb 28 th,

Phys 344 Ch 5 Lect 4 Feb 28 th, hys 44 Ch 5 Lect 4 Feb 8 th, 009 1 Wed /4 Fr /6 Mn /9 Wed /11 Fr / 1 55 Dlute Slutn 56 Chemcal Equlbrum Revew Exam (C 107 S 60, 61 Bltzmann Statstcs Bnus: hys Sr hess resentatns @ 4pm HW17: 7,76,8 HW18:8,84,86,88,89,91

More information

PHYSICS 536 Experiment 12: Applications of the Golden Rules for Negative Feedback

PHYSICS 536 Experiment 12: Applications of the Golden Rules for Negative Feedback PHYSICS 536 Experment : Applcatns f the Glden Rules fr Negatve Feedback The purpse f ths experment s t llustrate the glden rules f negatve feedback fr a varety f crcuts. These cncepts permt yu t create

More information

Int. J. of Applied Mechanics and Engineering, 2014, vol.19, No.3, pp DOI: /ijame

Int. J. of Applied Mechanics and Engineering, 2014, vol.19, No.3, pp DOI: /ijame Int. J. f Appled Mechancs and Engneerng, 2014, vl.19, N.3, pp.539-548 DOI: 10.2478/jame-2014-0036 APPLICATION OF MULTI-VALUED WEIGHTING LOGICAL FUNCTIONS IN THE ANALYSIS OF A DEGREE OF IMPORTANCE OF CONSTRUCTION

More information

ENGI 4421 Probability & Statistics

ENGI 4421 Probability & Statistics Lecture Ntes fr ENGI 441 Prbablty & Statstcs by Dr. G.H. Gerge Asscate Prfessr, Faculty f Engneerng and Appled Scence Seventh Edtn, reprnted 018 Sprng http://www.engr.mun.ca/~ggerge/441/ Table f Cntents

More information

2 Analysis of the non-linear aerodynamic loads of hypersonic flow. 1 General Introduction

2 Analysis of the non-linear aerodynamic loads of hypersonic flow. 1 General Introduction 4 TH INTERNATIONAL CONGRESS OF THE AERONAUTICAL SCIENCES PRELIMINARY STUDY OF NON-LINEAR AEROELASTIC PHENOMENA IN HYPERSONIC FLOW Zhang Wewe, Ye Zhengyn, Yang Yngnan Cllege f Aernautcs, Nrthwestern Plytechncal

More information

EE 204 Lecture 25 More Examples on Power Factor and the Reactive Power

EE 204 Lecture 25 More Examples on Power Factor and the Reactive Power EE 204 Lecture 25 Mre Examples n Pwer Factr and the Reactve Pwer The pwer factr has been defned n the prevus lecture wth an example n pwer factr calculatn. We present tw mre examples n ths lecture. Example

More information

Lucas Imperfect Information Model

Lucas Imperfect Information Model Lucas Imerfect Infrmatn Mdel 93 Lucas Imerfect Infrmatn Mdel The Lucas mdel was the frst f the mdern, mcrfundatns mdels f aggregate suly and macrecnmcs It bult drectly n the Fredman-Phels analyss f the

More information

Linear Plus Linear Fractional Capacitated Transportation Problem with Restricted Flow

Linear Plus Linear Fractional Capacitated Transportation Problem with Restricted Flow Amercan urnal f Operatns Research,,, 58-588 Publshed Onlne Nvember (http://www.scrp.rg/urnal/ar) http://dx.d.rg/.46/ar..655 Lnear Plus Lnear Fractnal Capactated Transprtatn Prblem wth Restrcted Flw Kavta

More information

Physics 107 HOMEWORK ASSIGNMENT #20

Physics 107 HOMEWORK ASSIGNMENT #20 Physcs 107 HOMEWORK ASSIGNMENT #0 Cutnell & Jhnsn, 7 th etn Chapter 6: Prblems 5, 7, 74, 104, 114 *5 Cncept Smulatn 6.4 prves the ptn f explrng the ray agram that apples t ths prblem. The stance between

More information

Design of Analog Integrated Circuits

Design of Analog Integrated Circuits Desgn f Analg Integrated Crcuts I. Amplfers Desgn f Analg Integrated Crcuts Fall 2012, Dr. Guxng Wang 1 Oerew Basc MOS amplfer structures Cmmn-Surce Amplfer Surce Fllwer Cmmn-Gate Amplfer Desgn f Analg

More information

Big Data Analytics! Special Topics for Computer Science CSE CSE Mar 31

Big Data Analytics! Special Topics for Computer Science CSE CSE Mar 31 Bg Data Analytcs! Specal Tpcs fr Cmputer Scence CSE 4095-001 CSE 5095-005! Mar 31 Fe Wang Asscate Prfessr Department f Cmputer Scence and Engneerng fe_wang@ucnn.edu Intrductn t Deep Learnng Perceptrn In

More information

Conservation of Energy

Conservation of Energy Cnservatn f Energy Equpment DataStud, ruler 2 meters lng, 6 n ruler, heavy duty bench clamp at crner f lab bench, 90 cm rd clamped vertcally t bench clamp, 2 duble clamps, 40 cm rd clamped hrzntally t

More information

( ) 1/ 2. ( P SO2 )( P O2 ) 1/ 2.

( ) 1/ 2. ( P SO2 )( P O2 ) 1/ 2. Chemstry 360 Dr. Jean M. Standard Problem Set 9 Solutons. The followng chemcal reacton converts sulfur doxde to sulfur troxde. SO ( g) + O ( g) SO 3 ( l). (a.) Wrte the expresson for K eq for ths reacton.

More information

CHEM Thermodynamics. Change in Gibbs Free Energy, G. Review. Gibbs Free Energy, G. Review

CHEM Thermodynamics. Change in Gibbs Free Energy, G. Review. Gibbs Free Energy, G. Review Review Accrding t the nd law f Thermdynamics, a prcess is spntaneus if S universe = S system + S surrundings > 0 Even thugh S system

More information

Chapter 19. Electrochemistry. Dr. Al Saadi. Electrochemistry

Chapter 19. Electrochemistry. Dr. Al Saadi. Electrochemistry Chapter 19 lectrchemistry Part I Dr. Al Saadi 1 lectrchemistry What is electrchemistry? It is a branch f chemistry that studies chemical reactins called redx reactins which invlve electrn transfer. 19.1

More information

Exploiting vector space properties for the global optimization of process networks

Exploiting vector space properties for the global optimization of process networks Exptng vectr space prpertes fr the gbal ptmzatn f prcess netwrks Juan ab Ruz Ignac Grssmann Enterprse Wde Optmzatn Meetng March 00 Mtvatn - The ptmzatn f prcess netwrks s ne f the mst frequent prblems

More information

4DVAR, according to the name, is a four-dimensional variational method.

4DVAR, according to the name, is a four-dimensional variational method. 4D-Varatnal Data Assmlatn (4D-Var) 4DVAR, accrdng t the name, s a fur-dmensnal varatnal methd. 4D-Var s actually a smple generalzatn f 3D-Var fr bservatns that are dstrbuted n tme. he equatns are the same,

More information

Energy & Work

Energy & Work rk Dne by a Cntant Frce 6.-6.4 Energy & rk F N m jule () J rk Dne by a Cntant Frce Example Pullng a Sutcae-n-heel Fnd the wrk dne the rce 45.0-N, the angle 50.0 degree, and the dplacement 75.0 m. 3 ( F

More information

Drought Modelling based on Artificial Intelligence and Neural Network Algorithms: A case study in Queensland, Australia

Drought Modelling based on Artificial Intelligence and Neural Network Algorithms: A case study in Queensland, Australia Drught Mdellng based n Artfcal Intellgence and Neural Netwrk Algrthms: A case study n Queensland Australa Kavna S Dayal (PhD Canddate) Ravnesh C De Armand A Apan Unversty f Suthern Queensland Australa

More information

Section 10 Regression with Stochastic Regressors

Section 10 Regression with Stochastic Regressors Sectn 10 Regressn wth Stchastc Regressrs Meanng f randm regressrs Untl nw, we have assumed (aganst all reasn) that the values f x have been cntrlled by the expermenter. Ecnmsts almst never actually cntrl

More information

CIRCLE YOUR DIVISION: Div. 1 (9:30 am) Div. 2 (11:30 am) Div. 3 (2:30 pm) Prof. Ruan Prof. Naik Mr. Singh

CIRCLE YOUR DIVISION: Div. 1 (9:30 am) Div. 2 (11:30 am) Div. 3 (2:30 pm) Prof. Ruan Prof. Naik Mr. Singh Frst CIRCLE YOUR DIVISION: Dv. 1 (9:30 am) Dv. (11:30 am) Dv. 3 (:30 m) Prf. Ruan Prf. Na Mr. Sngh Schl f Mechancal Engneerng Purdue Unversty ME315 Heat and Mass ransfer Eam #3 Wednesday Nvember 17 010

More information

Regression with Stochastic Regressors

Regression with Stochastic Regressors Sectn 9 Regressn wth Stchastc Regressrs Meanng f randm regressrs Untl nw, we have assumed (aganst all reasn) that the values f x have been cntrlled by the expermenter. Ecnmsts almst never actually cntrl

More information

Monin Obukhov Similarity and Local-Free-Convection Scaling in the Atmospheric Boundary Layer Using Matched Asymptotic Expansions

Monin Obukhov Similarity and Local-Free-Convection Scaling in the Atmospheric Boundary Layer Using Matched Asymptotic Expansions OCTOBER 08 T O N G A N D D I N G 369 Mnn Obukhv Smlarty cal-free-cnvectn Scalng n the Atmspherc Bundary ayer Usng Matched Asympttc Expansns CHENNING TONG AND MENGJIE DING Department f Mechancal Engneerng

More information

Van der Waals-coupled electronic states in incommensurate double-walled carbon nanotubes

Van der Waals-coupled electronic states in incommensurate double-walled carbon nanotubes Kahu Lu* 1, Chenha Jn* 1, Xapng Hng 1, Jhn Km 1, Alex Zettl 1,2, Enge Wang 3, Feng Wang 1,2 Van der Waals-cupled electrnc states n ncmmensurate duble-walled carbn nantubes S1. Smulated absrptn spectra

More information

Problem Set 5 Solutions - McQuarrie Problems 3.20 MIT Dr. Anton Van Der Ven

Problem Set 5 Solutions - McQuarrie Problems 3.20 MIT Dr. Anton Van Der Ven Prblem Set 5 Slutns - McQuarre Prblems 3.0 MIT Dr. Antn Van Der Ven Fall Fall 003 001 Prblem 3-4 We have t derve the thermdynamc prpertes f an deal mnatmc gas frm the fllwng: = e q 3 m = e and q = V s

More information

4.8 Degradation of Elastomers by Heat and/or Radiation

4.8 Degradation of Elastomers by Heat and/or Radiation 4.8 Degradatn f Elastmers by Heat and/r Radatn M.It Japan Atmc Energy Research Insttute, Nuclear Educatn Center 2-28-49, Hnkmagme, Bunkyu-ku Tky, 113, JAPAN Abstract Ths artcle studed sme prblems n the

More information

University Chemistry Quiz /04/21 1. (10%) Consider the oxidation of ammonia:

University Chemistry Quiz /04/21 1. (10%) Consider the oxidation of ammonia: University Chemistry Quiz 3 2015/04/21 1. (10%) Cnsider the xidatin f ammnia: 4NH 3 (g) + 3O 2 (g) 2N 2 (g) + 6H 2 O(l) (a) Calculate the ΔG fr the reactin. (b) If this reactin were used in a fuel cell,

More information

Common Gate Amplifier

Common Gate Amplifier mmn Gate Ampler Fure (a) shs a cmmn ate ampler th deal current surce lad. Fure (b) shs the deal current surce mplemented by PMOS th cnstant ate t surce vltae. DD DD G M G M G M (a) (b) Fure. mmn ate ampler.

More information

Comparison of Building Codes and Insulation in China and Iceland

Comparison of Building Codes and Insulation in China and Iceland Prceedngs Wrld Gethermal Cngress 00 Bal, Indnesa, 5-9 prl 00 Cmparsn f Buldng Cdes and Insulatn n Chna and Iceland Hayan Le and Pall Valdmarssn Tanjn Gethermal esearch & Tranng Centre, Tanjn Unversty,

More information

Statistical Speech Analysis and Nonlinear Modeling

Statistical Speech Analysis and Nonlinear Modeling Lmerck, 16th Aprl 23 Statstcal Analyss and Nnlnear Mdelng Nasss Katsamans & Petrs Marags Natnal Techncal Unversty f Athens Schl f Electrcal & Cmputer Engneerng CVSP Grup COST277 Meetng, Intrductn Cntents

More information

Department of Civil Engineering & Applied Mechanics McGill University, Montreal, Quebec Canada

Department of Civil Engineering & Applied Mechanics McGill University, Montreal, Quebec Canada Department f Cvl Engneerng & Appled Mechancs McGll Unversty, Mntreal, Quebec Canada CIVE 90 THEMODYNAMICS & HEAT TANSFE Assgnment #6 SOUTIONS. Cnsder a.-m hgh and -m-wde duble-pane wndw cnsstng f tw 3-mmthck

More information

Development of Real Time Simulation Models of Solid Oxide Fuel Cells for use in Hardware-in-the-Loop Systems

Development of Real Time Simulation Models of Solid Oxide Fuel Cells for use in Hardware-in-the-Loop Systems Ffth LACCEI Internatnal Latn Amercan and Carbbean Cnference fr Engneerng and Tenlgy (LACCEI 007) Develpng Entrepreneural Engneers fr the Sustanable Grwth f Latn Amerca and the Carbbean: Educatn, Innvatn,

More information

Answers to the Conceptual Questions

Answers to the Conceptual Questions Chapter 18 Reractn Lght 219 Resurce CD. They are rganzed by textbk chapter, and each anmatn cmes wthn a shell that prvdes nrmatn n hw t use the anmatn, explratn actvtes, and a shrt quz. Answers t the Cnceptual

More information

Mode-Frequency Analysis of Laminated Spherical Shell

Mode-Frequency Analysis of Laminated Spherical Shell Mde-Frequency Analyss f Lamnated Sphercal Shell Umut Tpal Department f Cvl Engneerng Karadenz Techncal Unversty 080, Trabzn, Turkey umut@ktu.edu.tr Sessn ENG P50-00 Abstract Ths paper deals wth mde-frequency

More information

Problem 1. Refracting Surface (Modified from Pedrotti 2-2)

Problem 1. Refracting Surface (Modified from Pedrotti 2-2) .70 Optc Hmewrk # February 8, 04 Prblem. Reractng Surace (Me rm Pertt -) Part (a) Fermat prncple requre that every ray that emanate rm the bject an pae thrugh the mage pnt mut be chrnu (.e., have equal

More information

Center of Mass and Momentum. See animation An Object Tossed Along a Parabolic Path.

Center of Mass and Momentum. See animation An Object Tossed Along a Parabolic Path. Readng: Chapter 9 The Center ass Center ass and mentum See anmatn An Object Tssed Alng a Parablc Path The center mass a bdy r a system bdes s the pnt that mves as thugh all the mass were cncentrated there

More information

A method of constructing rock-analysis diagrams a statistical basks.

A method of constructing rock-analysis diagrams a statistical basks. 130 A methd f cnstructng rck-analyss dagrams a statstcal basks. 0T~ By W. ALF~.D ll~ch).ra)so.~, ~.Se., B.Se. (Eng.), F.G.S. Lecturer n Petrlgy, Unversty Cllege, Nttngham. [Read January 18, 1921.] D R.

More information

Learn more at

Learn more at Tensn and Expansn Analyss f Ppe-n-Ppe Rsers: Part A, Theretcal rmulatn Kevn Chuanjan Man, Bn Yue, Adam Szucs, Rcky Theth 2H ffshre nc. Hustn, TX, USA ABSTRACT Ths paper prvdes a mathematcal mdel fr accurate

More information

Edexcel GCSE Physics

Edexcel GCSE Physics Edexcel GCSE Physics Tpic 10: Electricity and circuits Ntes (Cntent in bld is fr Higher Tier nly) www.pmt.educatin The Structure f the Atm Psitively charged nucleus surrunded by negatively charged electrns

More information

The three major operations done on biological signals using Op-Amp:

The three major operations done on biological signals using Op-Amp: The three majr peratns dne n blgcal sgnals usng Op-Amp: ) Amplcatns and Attenuatns 2) DC settng: add r subtract a DC 3) Shape ts requency cntent: Flterng Ideal Op-Amp Mst belectrc sgnals are small and

More information

A Note on Equivalences in Measuring Returns to Scale

A Note on Equivalences in Measuring Returns to Scale Internatnal Jurnal f Busness and Ecnmcs, 2013, Vl. 12, N. 1, 85-89 A Nte n Equvalences n Measurng Returns t Scale Valentn Zelenuk Schl f Ecnmcs and Centre fr Effcenc and Prductvt Analss, The Unverst f

More information

Module B3. VLoad = = V S V LN

Module B3. VLoad = = V S V LN Mdule B Prblem The -hase lads are cnnected n arallel. One s a urely resste lad cnnected n wye. t cnsumes 00kW. The secnd s a urely nducte 00kR lad cnnected n wye. The thrd s a urely caacte 00kR lad cnnected

More information

Lecture 13: Electrochemical Equilibria

Lecture 13: Electrochemical Equilibria 3.012 Fundamentals f Materials Science Fall 2005 Lecture 13: 10.21.05 Electrchemical Equilibria Tday: LAST TIME...2 An example calculatin...3 THE ELECTROCHEMICAL POTENTIAL...4 Electrstatic energy cntributins

More information

Lecture 17: Free Energy of Multi-phase Solutions at Equilibrium

Lecture 17: Free Energy of Multi-phase Solutions at Equilibrium Lecture 17: 11.07.05 Free Energy f Multi-phase Slutins at Equilibrium Tday: LAST TIME...2 FREE ENERGY DIAGRAMS OF MULTI-PHASE SOLUTIONS 1...3 The cmmn tangent cnstructin and the lever rule...3 Practical

More information

CHAPTER 3 QUASI-RESONANT BUCK CONVERTER

CHAPTER 3 QUASI-RESONANT BUCK CONVERTER 27 CHAPTER 3 QUASI-RESONANT BUCK CONVERTER Hstrcally, prr t the avalablty f cntrllable swtch wth apprecable vltage and current-handlng capablty, the swtch-mde DC-DC cnverter cnssts f thyrstrs whch pertans

More information

Faculty of Engineering

Faculty of Engineering Faculty f Engneerng DEPARTMENT f ELECTRICAL AND ELECTRONIC ENGINEERING EEE 223 Crcut Thery I Instructrs: M. K. Uygurğlu E. Erdl Fnal EXAMINATION June 20, 2003 Duratn : 120 mnutes Number f Prblems: 6 Gd

More information

State-Space Model Based Generalized Predictive Control for Networked Control Systems

State-Space Model Based Generalized Predictive Control for Networked Control Systems Prceedngs f the 7th Wrld Cngress he Internatnal Federatn f Autmatc Cntrl State-Space Mdel Based Generalzed Predctve Cntrl fr Netwred Cntrl Systems Bn ang* Gu-Png Lu** We-Hua Gu*** and Ya-Ln Wang**** *Schl

More information

Convoluted Arc with Flux Concentrator for Current Interruption

Convoluted Arc with Flux Concentrator for Current Interruption Cnvluted Arc wth Flux Cncentratr fr Current Interruptn Lend M. Shpann, Member, IEEE, Grdn R. Jnes, and Jseph W. Spencer Abstract-- Further cnsderatns are gven t the use f an electrmagnetc flux cncentratr

More information

An Extended Regular Solution Model with Local Volume Fraction

An Extended Regular Solution Model with Local Volume Fraction () An Etended Regular Slutn Mdel wth cal Vlume Fractn Shgetsh KOBUCHI, Ken ISHIGE (Department f Enrnmental Scence and Engneerng, Graduate Schl f Scence and Engneerng, Yamaguch Unersty) Setsuk YONEZAWA

More information

Electrochemistry. Reduction: the gaining of electrons. Reducing agent (reductant): species that donates electrons to reduce another reagent.

Electrochemistry. Reduction: the gaining of electrons. Reducing agent (reductant): species that donates electrons to reduce another reagent. Electrchemistry Review: Reductin: the gaining f electrns Oxidatin: the lss f electrns Reducing agent (reductant): species that dnates electrns t reduce anther reagent. Oxidizing agent (xidant): species

More information

University of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014

University of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014 Lecture 12 7/25/14 ERD: 7.1-7.5 Devoe: 8.1.1-8.1.2, 8.2.1-8.2.3, 8.4.1-8.4.3 Unversty o Washngton Department o Chemstry Chemstry 452/456 Summer Quarter 2014 A. Free Energy and Changes n Composton: The

More information

ELG4139: Op Amp-based Active Filters

ELG4139: Op Amp-based Active Filters ELG439: Op Amp-baed Actve Flter Advantage: educed ze and weght, and therere paratc. Increaed relablty and mprved perrmance. Smpler degn than r pave lter and can realze a wder range unctn a well a prvdng

More information

15-69C Under the conditions of complete combustion with stoichiometric amount of air.

15-69C Under the conditions of complete combustion with stoichiometric amount of air. 15-43 Adabatc Flame emperature 15-68C Fr the case f stchmetrc amunt f pure xy snce we have the same amunt f chemcal energy released but a smaller amunt f mass t absrb t. 15-69C Under the cndtns f cmplete

More information

SVD Ladder Mock-up Assembly for the Belle II Experiment

SVD Ladder Mock-up Assembly for the Belle II Experiment New hyscs: Sae Mull, Vl. 65, N. 6, June 25, pp. 587 5 DOI:.338/NSM.65.587 SVD Ladder Mck-up Assembly fr the Belle II Eperment khyun ang Hnj m Hwanbae ark Hyebn Jen Satru Uzum Department f hyscs, yungpk

More information

MODULE 7 HEAT EXCHANGERS

MODULE 7 HEAT EXCHANGERS MODULE 7 HEAT EXCHANGERS 7. What are heat exchangers? Heat exchangers are practcal devces used t transfer energy frm ne flud t anther. Arund the husehld, we are accustmed t seeng the cndensers and evapratrs

More information

Materials Engineering 272-C Fall 2001, Lecture 7 & 8 Fundamentals of Diffusion

Materials Engineering 272-C Fall 2001, Lecture 7 & 8 Fundamentals of Diffusion Materials Engineering 272-C Fall 2001, Lecture 7 & 8 Fundamentals f Diffusin Diffusin: Transprt in a slid, liquid, r gas driven by a cncentratin gradient (r, in the case f mass transprt, a chemical ptential

More information

Find this material useful? You can help our team to keep this site up and bring you even more content consider donating via the link on our site.

Find this material useful? You can help our team to keep this site up and bring you even more content consider donating via the link on our site. Find this material useful? Yu can help ur team t keep this site up and bring yu even mre cntent cnsider dnating via the link n ur site. Still having truble understanding the material? Check ut ur Tutring

More information

CHAPTER 3: FEEDBACK. Dr. Wan Mahani Hafizah binti Wan Mahmud

CHAPTER 3: FEEDBACK. Dr. Wan Mahani Hafizah binti Wan Mahmud CHPTER 3: FEEDBCK Dr. Wan Mahan Hafzah bnt Wan Mahmud Feedback ntrductn Types f Feedback dvantages, Characterstcs and effect f Negatve Feedback mplfers Crcuts wth negatve feedback Pstve feedback and Oscllatr

More information

Numerical Transient Heat Conduction Experiment

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

More information

Indonesian Journal of Science & Technology. Corrosion Prediction for Corrosion Rate of Carbon Steel in Oil and Gas Environment: A Review

Indonesian Journal of Science & Technology. Corrosion Prediction for Corrosion Rate of Carbon Steel in Oil and Gas Environment: A Review Indnesan Jurnal f Scence & Technlgy 3 (1) (2018) 64-74 Yul Panca Asmara, Ted Kurnawan. Crrsn Predctn fr Crrsn Rate f Carbn.. 64 Indnesan Jurnal f Scence & Technlgy Jurnal hmepage: http://ejurnal.up.edu/ndex.php/jst/

More information