Numerical and Experimental Investigation for Stability Lobes Prediction in Thin Wall Machining

Size: px
Start display at page:

Download "Numerical and Experimental Investigation for Stability Lobes Prediction in Thin Wall Machining"

Transcription

1 Egieerig Leers, 7:4, EL_7_4_7 Numerial ad Exerimeal Ivesigaio for Sabiliy Lobes Prediio i Thi Wall Mahiig O. B. Adeoro, P. H. We, W. M. Sim, R. Vea Absra A Fiie Eleme Aalysis (FEA) ad Fourier rasform aroah o obai frequey resose fuio (FRF) is reseed i his aer. The aim i his aer is o elimiae he eed for he lassial ima exerimeal aroah used i exraig sruure s FRF. The umerial ad exerimeal FRFs have bee used o obai sable regios i mahiig of hi walled sruures, whih gives a good omariso. Examles are reseed ad omared wih exerimeal resuls wih a saisfaory agreeme. Idex Terms FEA, frequey resose fuio, disree Fourier rasform, sabiliy lobes, rasfer fuio. I. INTRODUCTION Eve afer suh a exesive researh io haer vibraio, i sill is (as saed by Taylor us over a eury ago) oe of he mos obsure ad deliae of all roblems faig he mahiis []. I eraily udermies ad redues roduiviy ad surfae qualiy i maufaurig. I ould also irease he os hrough ossible mahie or ool damage. I is beause of hese effes ha i has bee he oi of several sudies over he years. The sabiliy lobes/har aroah is more raial from he sae of a mahiis, while is exraio a be somewha edious. The auray of he redied sable regio relies o he rasfer fuio ideified a he uer-workiee oa zoe. The lassial aroah o obaiig he rasfer fuio is hrough ima es. However, his aer rooses a aleraive aroah whih uses fiie eleme mehod (FEM) modal aalysis o obai he rasfer fuio a seified uer-workiee oa zoes. While he rasfer fuios for he ool a be assumed o be osa, he workiee rasfer fuio/dyamis are osaly hagig as maerial is removed. Moreover, i Mausri reeived Marh 8, 9. This work was suored i ar by EPSRC ad Airbus UK uder Gra BS3456. O. B. Adeoro is wih Quee Mary Uiversiy of Lodo, Quee Mary, Uiversiy of Lodo, Mile Ed Road, Lodo E 4NS, UK ( o.adeoro@qmul.a.uk). * P. H. We is wih Quee Mary Uiversiy of Lodo, Quee Mary, Uiversiy of Lodo, Mile Ed Road, Lodo E 4NS, UK; (hoe: 44() , fax: 44() ; .h.we@qmul.a.uk). W. M. Sim is wih Airbus, New Filo House, Golf Course Lae, Filo BS34 7AR, UK ( WeiMig.Sim@airbus.om). R. Vea is wih Quee Mary Uiversiy of Lodo, Quee Mary, Uiversiy of Lodo, Mile Ed Road, Lodo E 4NS, UK ( r.vea@qmul.a.uk). hi wall mahiig, he workiee vibraio is sigifia omared o ha of he ool. Hee he rasfer fuio used mus be reise. I will be highly imraial o erform ima ess a mulile sages of mahiig, hee he eed for a offlie aroah o sabiliy lobes rediio. The rediio of sable odiios i he form of hars sared whe, Tobias [] ad Tlusy [3] simulaeously made he remarkable disovery ha he mos imora soures of self-exiaio, regeeraio ad mode oulig were assoiaed wih he sruural dyamis of he mahie ool-workiee sysem ad he feedbak resose bewee subseque us. A his early sage, he sabiliy lobes aroah ha is widely used by researhes o redi he sable margi was also esablished by []. While Tlusy ad Polaek [3] obaied a exressio for haer free axial deh of u usig he uig fore oeffiie, ad he real ar of he sruure s rasfer fuio i he direio ormal o he mahied surfae. This was laer imroved by Tlusy [4] o ilude he effe of he sidle seed o he haer frequey ( lobbig effe ). Oher sudies o he sabiliy of meal uig were reored Merri [5]. Though, a ioeerig researh, he sabiliy models by Tobias ad Tlusy are oly aliable o orhogoal meal uig where he direioal dyami millig oeffiies are osa ad o eriodi. This is quie he orary i millig due o he roaig uer wih mulile eeh. I order o aommodae his direioal dyami millig oeffiies, ime domai simulaio of he millig roess was irodued by Tlusy [6, 7]. Slaviek [8] ad Vaherk [9] made he assumio ha all he uer eeh have a osa direioal orieaio i heir sudy of he effe of irregular ih o he sabiliy. Sridhar e al. [, ] ad Hoh [] laer arried ou a i-deh sudy i whih, hey irodued ime-varyig direioal oeffiies i heir haer sabiliy aalysis. They used he sysem s sae rasiio marix i heir sabiliy model, whih hels o elimiae he eriodi ad ime delay erms. Oiz e al. [3, 4] used a average value of he eriodi direioal oeffiies i he aalysis. Tlusy [5] made a aem o aly he orhogoal model o millig roess by assumig he eeh of he ool had equal ih, was simulaeously i u ad ha he moio was reiliear wih osa deh of u. The Nyquis rierio was used by Miis ad Yaushevsky [6, 7] ad Lee e al. [8, 9] o obai he sabiliy limis. Lee e al. used he mea value mehod o relae he ime varyig direioal oeffiies by a osa. U uil his oi here exised o roosed aalyial aroah o rediig he sabiliy (Advae olie ubliaio: 9 November 9)

2 Egieerig Leers, 7:4, EL_7_4_7 margi for millig, whils reseig he varyig direioal dyami millig oeffiies. Followig he i-deh work by Budak, [], Alias ad Budak [,, 3] laer roosed a aalyi aroah i whih he zeroh order erm i he Fourier series exasio (sigle frequey soluio or zeroh order aroximaio) of he ime varyig oeffiies was adoed. A similar model was laer used by Alias e al. [4], where hey roosed a average sheme of he immersio agle, while he aalyial model was laer exeded o ilude hree direios by Alias [5], where he axial immersio agle was also assumed o be osa. Cama e al. [6] laer roosed a averagig aroah o alulaig he axial immersio agle i order o solve he sabiliy model aalyially. Adeoro e al. [7] reely roosed some modifiaios o he sabiliy lobe model by Alias [5]. The modifiaios allow for he ilusio of he oliear aure of he uig fore oeffiies ad he axial immersio agle alog he axial deh of u i he rediio of more aurae sable uig odiios. The resuls were obaied usig a umerial aroah To aalyially redi he sable regio he dyami arameers ideified a he uer-workiee oa zoe are used. The lassial aroah o obaiig he dyami arameers is hrough ima ess. Ulike i ool haer, he dyami arameers are o osa alog he workiee ad are osaly hagig as maerial is removed ad he geomery hages. Aems were made by Theveo [8] o use his varyig dyamis i hi wall mahiig o iiiae he variaio of he sidle seed alog he workiee i order o imrove surfae fiish. The edey i his aroah however is he edey for ew marks o be lef o he surfae due o he hage i uig odiios as see from heir exerimeal resuls. Budak osidered he variaios he dyamis of he uer ad he workiee alog he axial direio [, 3]. Seguy e al. [9] us reely arried ou a sudy o ilude he varyig dyamis alog a hi wall ad hi floor seio, alhough he resuls show erai disreaies whih ould have arise from he assumios made. I is however lear i hi wall ha i is isuffiie o assume he dyamis of he workiee are osa, whih has reviously bee he ase. This aer reses a umerial aroah o obaiig he sruures rasfer fuio, whih is required i he sabiliy model. This aroah aims o elimiae he eed for series of exerimeal ima esig a various ois o a hi walled workiee i order o obai he orresodig rasfer fuio a he oi. The oly exerimeal resul required would be he oe o obai he damig arameers of he sruure, whih a also be elimiaed by adaig he aroah o rediig he damig arameers by Adeoro e al. [35, 36]. However o obai he varyig dyamis alog he ool-ah, his aroah a be used o reve furher exerimeal ima esig. The full rasfer fuio marix i all he hree raslaioal direios a also be easily exraed. Comared o exerimeal mehods, his a rove diffiul i erai raslaioal direios. The aroah is reseed here wih he -D sabiliy model i [] ad a easily be adaed o he 3-D model i [5, 7] as show by Adeoro al. [3]. II. CHATTER STABILITY MODEL The sabiliy model used i his aer is he model roosed by Alias ad Budak [] as summarized below. The eriodi millig fores exie he uer ad he workiee ausig wo orhogoal dyami dislaemes x ad y i he global axis. vibraio marks lef by ooh () Figure Dyami Millig Model. This geeraes udulaios o he mahied surfae ad eah ooh removes he udulaios geeraed by he revious ooh (Figure ). Therefore leadig o a modulaed hi hikess whih a be exressed as h φ = siφ + υ υ υ υ () ( ) ( ) ( ), s s where is he feed er ooh, ( υ, ) ad ( υ, ) w υ w are w υ w he dyami dislaeme of he uer ad workiee a he revious ad rese ooh eriods reseively, φ = φ + Ω is he agular immersio of ooh ( ) for a uer ( Ω is he agular seed), wih osa ih agle φ = π N ( N is he umber of eeh). The dyami dislaemes i he hi hikess direio due o ool ad workiee vibraios are defied as υ = x siφ y osφ ( =, w), () where ad w idiae he uer ad workiee reseively, x, y ad x, y are he dyami dislaemes i he global axis for he urre ad revious ooh eriods reseively. By elimiaig he sai ar i (), he dyami hi hikess i millig is defied as h φ = Δxsiφ Δy osφ (3) y ( ), where, ( ) ( Δx = x x xw xw ), Δy = ( y y ) ( y y ), x w u, df ooh ( ) ooh (-) w v, F r Therefore, he dyami fores o ooh (usig Exoeial Fore Coeffiie Model, []) i he ageial ad radial direios a be defied as vibraio marks lef by ooh (-) ooh (-) (4) (Advae olie ubliaio: 9 November 9)

3 Egieerig Leers, 7:4, EL_7_4_7 ( φ) = Kah ( φ ), ( φ ) = K F ( φ), F (5) Fr r where a is he axial deh of u (ADOC), ad K ad K r are he ageial ad radial uig fore oeffiies reseively. For simliiy, like i oher sudies hese uig fore oeffiies have bee ake as osa here. However hey have bee show o affe he redied margi by Adeoro e al. [7]. This aroah here a easily be adaed o he modifiaios hey roosed. Therefore, by subsiuig (3) io (5) ad resolvig i he global direios, he followig exressio is obaied F a a Δx x F y where = a xy ak a xx yx a xy yy, Δy (6) are he eriodi direioal uig oeffiies ad deeds o he agular osiio of he uer ad he radial uig fore oeffiie K r, hereby makig (6) a fuio of ime { F() } ak [ A() ] Δ() { }, = (7) [ A () ] As meioed i revious seio, is eriodi a he ooh assig frequey ω = NΩ, herefore is Fourier series exasio is used for he soluio of he sysem. The average value i he Fourier series exasio (sigle frequey soluio) of he ime varyig direioal oeffiies is used i his aer. Hee, (7) redues o { F() } = ak [ A ]{ Δ() }, (8) where [ A ] is he ime ivaria, bu radial immersio deede direioal uig oeffiie marix. From he frequey resose fuio FRF ad he dyami fores, he dyami dislaeme veor i (8) a be solved. Usig he resose a rese ime ( ad he revious ooh eriod ( T ), equaio (8) a be exressed as [] iω iωt iω { F} e = ak [ A ]( e )[ G( iω )]{ F} e, (9) where { F} rereses he amliude of he dyami uig fore { F () }, [ G ( iω )] is he rasfer fuio marix. The rasfer fuio marix [ G( iω )] is he mai fous of his aer. I is defied as [ G ( iω )] = [ G ( iω )] + [ Gw ( iω )], () where [ G ( i )] ( iω ) G ( iω ) xy ( iω ) G ( iω ), G xx ω = ( =, w) () G yx yy Equaio (9) has a o-rivial soluio oly if is deermia is zero, [[] Λ[ G ( i )], de I ω = () + ) where [ ] [ A ][ G] G = The eigevalues is defied as N iωt = K a( e ), 4π Λ (3) Solvig () umerially will give eigevalues wih Λ = Λ +, ad from Euler s omlex ad real ars ( ) e iωt R iλ I = osωt i siωt formula,. Whe his is subsiued io (3), he omlex ar has o vaish (i.e. Λ I ( osωt ) = Λ R siωt ) beause he axial deh of u a is a real value. Therefore, Λ I siωt κ = = = aψ, (4) Λ R osωt where ψ is he hase shif of he eigevalues. From his exressio he relaioshi bewee he frequey ad he sidle seed is [] obaied ωt = ε + kπ, ε = π ψ, ψ = a κ, (5) 6 =, NT where ε is he hase differee bewee he ier ad ouer udulaios, k is a ieger orresodig o he umber of vibraio waves wihi a ooh eriod ad is he sidle seed (rm). Subsiuig (4) io (3) ad he fial exressio for haer free axial deh of u beomes πλ R alim = ( + κ ) (6) NK Therefore for a give haer frequey, ω he eigevalues are obaied from (), whih allows for he riial deh of u o be alulaed usig (6) ad fially he sidle seed usig (5) for differe umber of vibraio waves, k. This is reeaed for various frequeies aroud he sruures domia modes. III. THE SYSTEM S TRANSFER FUNCTION To obai he rasfer fuio of he sysem, he modal dyami aalysis o Abaqus was used. Beig a very well develoed model, he modal dyami aalysis gives he resose of a defied domai as a fuio of ime for a give ime deede loadig. This gives he liear resose of he sruure, whih a be very easily exraed oe he modes of he sysem are available. This is due o he modes beig orhogoal, hereby rederig he sysem as a mere ombiaio of sigle degree of freedom sysems. The modes are exraed i a frequey exraio aalysis, whih uilizes he Lazos algorihm. The free vibraio soluio of he equaio of moio akes he form { x } = { X } siω (7) Whe subsiued io equaio of moio, a eigevalue roblem is obaied as (Advae olie ubliaio: 9 November 9)

4 Egieerig Leers, 7:4, EL_7_4_7 ([ ] [ M ]){ X } =, [ ] K ω (8) where K is he siffess marix of he sysem, [ M ] is he mass marix, ω is he eigevalue or i his ase he udamed aural frequey of he sysem squared ad { X } is he eigeveor (he mode of vibraio or mode shae). The rasie modal dyami aalysis o Abaqus was used o solve he eigevalue roblem ad o redi he sysem s rasfer fuio. The modal dyami aalysis gives he resose of a defied domai as a fuio of ime for a give ime deede loadig. The resose obaied is he liear resose of he sruure, whih is easily exraed oe he modes of he sysem are available. The modes are exraed i a frequey exraio aalysis, whih uilizes he Lazos algorihm due o he size of he eigeroblem i equaio (4.9). The algorihm is deailed by Grimes e al. [3] ad i he Abaqus user maual [3]. Therefore, whe he model is roeed oo he eigemodes used for he sysem s dyami rereseaio (i.e. uoulig he sysem s siffess, mass ad damig maries usig he orhogoaliy roery exlaied earlier), is equaio of moio is uouled ad a exressio a ime is [3] obaied Δf q + ζ ω, q + ω, q = f Δ + Δ, (9) Δ where is he mode umber, q is he amliude of he resose of mode (i he geeralized oordiae ), ω, is he udamed aural frequey of mode, Δ f is he hage i f over he ime ireme, Δ assumig he exiaio varies liearly wihi eah ireme ad ζ is he damig raio for mode. The soluios is obaied [3] i he form q+δ d d q e e f = +, () q +Δ d d q e e f +Δ where i, l =,, d ad e are osas, whih are il deede o he hree differe ases of o-rigid body moio. These ases are based o he osillaio modes - uderdamed, riial damig ad overdamed. These osas are deailed i Abaqus user maual [3]. For he uderdamed ase, he osas are give as follows [3] ζω a = ex( ζω Δ) siωδ + osωδ (a) ω a = ex( ζω Δ) siωδ, (b) ω ω a = ex( ζω Δ) siωδ, () ζ ζω a = ex( ζω Δ) osωδ siωδ, (d) ω il b b b b u ζ ζ = ex( ζωδ) + si ωδ ω ω ω ωδ ζ ζ + + os Δ +, 3 3 ω ω ω Δ ωδ (a) ζ ζ = si os 3 ωδ + ωδ ω ωδ ω Δ ζ ex( ζωδ) +, 3 ω ω Δ = ω ζ + ωωδ ex ex ζ + 3 ωδ ( ω siωδ + ζω osωδ) ( ζω Δ), ζ = ω ωδ ζ 3 ω Δ N = X q, X ζ ωδ ω Δ (b) ( ω osωδ ζω siωδ) ( ζω siωδ ω osωδ) ( ω siωδ + ζω osωδ) ω Δ ( ζω Δ) +, () (d) Sie he ime iegraios is doe i geeralized oordiaes, he resose of he hysial variables are obaied hrough summaio (3) where are he eigeveor orresodig o he mode ad u is he aual odal dislaeme. From his he veloiy ad hee he odal aeleraio a be derived. The sysem s frequey resose fuio (FRF), is simly he raio of he Fourier rasform of he ouu over he iu (i he ase of a sysem wih sigle iu ad ouu). ( ω) G ( ω) = X ( =, w)(, = x, y) (4) F ω ( ) The disree Fourier rasform algorihm is adoed, whih is defied [33] as M Re [ ] πk H k = h[] i os, i= M Im H M = i= πk M [] k h[] i si, (5) (Advae olie ubliaio: 9 November 9)

5 Egieerig Leers, 7:4, EL_7_4_7 Re [] [ ] where k rus from o M, H k ad Im H k are he real ad imagiary ars of he frequey domai sigal ad h[] i is he ime domai sigal. The orresodig frequeies are defied as k f ω =, M (6) were ω is he frequey, f is he samlig frequey. IV. THE FINITE ELEMENT MODEL The workiee maerial used i he FEM model is Alumiium Alloy 7 T765. The maerial roeries required for geeraig he siffess ad mass maries are: 3 Desiy -.83 Kg m -3, Youg s Modulus GPa ad Poisso Raio Three differe yes of workiee were used i he fiie eleme aalysis (FEA). The dimesios are show i Figure ad he differe hikesses, (W) are show i ables, ad 3 reseively. The assumios made i he fiie eleme aalysis (FEA) are as follows: ) The workiee was boled a he bak surfae durig he ima ess ad i he FEM his was assumed o be lamed. ) The workiee was boled o he millig mahie durig he ima es ad i was assumed ha he aural frequeies of he mahie are very high omared o ha of he workiee, hee heir ifluee a be igored i he FEM aalysis. 3) The mass of he aeleromeer was assumed o be a oi mass added o he FEM model. R=5mm hikesses durig mahiig of hi wall seios. This aroah a be adaed wih he FEM aroah roosed i his aer as show i [36] o form a uified model ha would o require furher exerimes arried ou for differe wall hikesses. I he exerimeal ima ess, he workiee is exied usig a isrumeed hammer, whils he aeleromeer is laed o he oosie side of he ima oi, o measure he dire rasfer fuio. Usig a Fourier aalyser, he aelerae frequey resose fuio is exraed for eah ima es. This is simly he divisio of he Fourier rasform of he measured ime domai iu fore f ( ) ad aeleraio x ( ). X ( ω) A ω = (7) ( ) F( ω), where A ( ω) is he aelerae FRF, X ( ω) aeleraio sigal i frequey domai ad ( ω) is he ouu F is he iu fore sigal i frequey domai. The exerimeal measuremes are aalysed usig a modal aalysis sysem (CuPro was used for he soluios i his aer), whih sas he measured rasfer fuio ad fis a urve o he daa i order o obai he umerial values of aural frequey, damig [34]. Table Workiee A, W =.5mm MODE NUMBER NATURAL FREQUENCY, ω (HZ) DAMPING RATIO, ζ (%) E E E E E E E E-3 W 3mm 6mm Table Workiee B, W = 3.mm MODE NUMBER NATURAL FREQUENCY, ω (HZ) DAMPING RATIO, ζ (%) E E E E E-3 Figure Workiee dimesios. A. The Damig Raio 6mm The damig raios, ζ used i (9) here for 3mm demosraig he roosed aroah were ideified hrough ima ess (give i ables, ad 3). Adeoro e al. [35, 36] however reely roosed a aroah o rediig he damig arameers for differe wall Table 3 Workiee C, W = 4.5mm MODE NUMBER, NATURAL FREQUENCY, ω (HZ) DAMPING RATIO, ζ (%) E E E-3 V. RESULTS A. Exraig he Workiee Trasfer Fuio. For workiee A, he measured iu fore from he (Advae olie ubliaio: 9 November 9)

6 Egieerig Leers, 7:4, EL_7_4_7 ima es was used as he iu fore (i ime domai) i he FEM modal aalysis. The redied aeleraio (ime domai) is show i omariso o he exerimeal aeleraio from he aeleromeer (durig he ima es) i Figure 3. The redied FRF (usig he aroah i seio ) ad exerimeal FRF, are omared i Figures 4 a ad b reseively. The agreeme bewee he exerimeal resuls ad he rediios is saisfaory. For workiee B, he iu fore (i ime domai) used i he FEM modal aalysis was a Dira dela fuio. The redied ad exerimeal FRFs are omared i Figures 5 a ad b. The agreeme bewee he exerimeal resuls ad he rediios is saisfaory. Aeleraio, m s Predied Exerimeal Time, s Figure 3 Predied ad measured aeleraio for workiee A. Real, m s - N - (a) Real Imag, m s - N (b) Imag 5. Frequey, Hz Exerimeal Predied Exerimeal Predied Frequey, Hz Figure 4 Predied ad measured FRFs for workiee A, G. w yy Figure 6 omares he redied ad exerimeal FRFs for workiee C ad he agreeme has show o be good. Real, m s - N - (a) Real Imag, m s - N - (b) Imag Frequey, Hz Exerimeal Predied Exerimeal Predied Frequey, Hz Figure 5 Predied ad measured FRFs for workiee B, G. Real, m s - N - 8. Exerimeal 6. Predied Frequey, Hz (a) Real Imag, m s - N (b) Imag Exerimeal Predied Frequey, Hz w yy Figure 6 Predied ad measured FRFs for workiee C, G. w yy (Advae olie ubliaio: 9 November 9)

7 Egieerig Leers, 7:4, EL_7_4_7 B. Chaer Sabiliy Lobes. Usig boh he redied ad exerimeal FRFs, he sabiliy lobes were geeraed usig CuPro, for he differe yes of workiee usig he arameers lised i able 4. CuPro is a advaed aalyial ad ime-domai mahiig roess simulaio ommerial akage develoed by Alias. I has a i buil modal aalysis module ad also a sabiliy lobes module. The sabiliy lobes module a ake he rasfer fuio i all hree orhogoal direios for he workiee ad rasfer fuio i x, ad y direios for he ool. The uig odiios used durig he simulaios are deailed i able 4. The ageial uig fore oeffiie (TCFC) K ad he radial uig osa K r are give i his able. The radial uig osa is a raio of he radial uig fore oeffiie o he ageial uig fore oeffiie. The TCFC ad he radial uig osa are used i (5) o model he ageial ad radial uig fores reseively. The radial deh of u or radial immersio is also give i able 4, whih is used o alulae he ery ad exi agles of he uer. The ery ad exi agles are used as he limis for he elemes i he radial immersio deede marix, [ A ] required whe alulaig he orieed rasfer fuio [ G ] i (). The elemes of he marix [ A ] are deailed i [,, ad 4]. The redied ad exerimeal resuls are omared i Figures 7a, b & for he hree differe workiee. The omarisos show a saisfaory agreeme. The sligh disreay i he redied aural frequey (frequey a whih FRF real is zero ad imagiary is maximum) a be see i he sligh shif i he sidle seed alulaed i he sabiliy lobes. The aural frequey redied affes he sable ooh assig frequey alulaed i he sabiliy lobes, hee he sligh differees see i he sidle seeds. The redied sable axial deh of us i Figures 7 b ad are slighly higher ha he exerimeal sable ADOC ad his is due o he FEM model beig oo siff. This a be aused by he boudary odiio assumio saed i seio 3, where he bak surfae was assumed o be erfely lamed. I he FEM siffess marix formulaio, he elemes are herefore se o E+36 ad he degrees of freedom a his surfae are o iluded i he simulaio. A more aurae aroah would require kowledge of he friio a he boudary bewee he mahie ad he workiee. Table 4 Cuig Codiio ad Coeffiies WORKPIECE A WORKPIECE B WORKPIECE C K R K T (MPA) RADIAL DEPTH OF CUT, (mm).5.. Axial Deh of Cu, mm Exerimeal Predied Sidle Seed, rm (a) Workiee A Axial Deh of Cu, mm Measured Predied Sidle Seed, rm (b) Workiee B Axial Deh of Cu, mm Exerimeal Predied Sidle Seed, rm (b) Workiee C Figure 7 Sabiliy lobes omariso. C. Exerimeal Resuls To show he advaages of his aroah i hi-wall mahiig, a yial surfae fiish obaied for a hi walled seio is show i Figure 9. ad he uig fores show i Figure 8. This exerimeal resuls show ha he varyig dyamis alog he workiee ao be igored or assumed as osa. I he surfae fiish i is show ha he workiee is usable oly a he ed of he u, while his is ofirmed i he uig fore (F x ) lo. These resuls are show ad disussed i-deh i [3]. Therefore usig he aroah i his aer, he rasfer fuio alog he workiee a be easily exraed wihou reliae o exerimeal resuls. (Advae olie ubliaio: 9 November 9)

8 Egieerig Leers, 7:4, EL_7_4_7 Fore, Fx (N) Sar Ed Time (se) Figure 8 Exerimeal uig fores from [3]. (a) Par I (b) Par II Figure 9 Surfae fiish hi wall mahiig [3]. For omleeess, he full FRF marix i () is also required, however alyig he ima fore ad/or measurig he resose i erai direios exerimeally a rove diffiul. Usig he roosed aroah however, he full FRF marix i () a be obaied easily i all direios. This is doe by simly alyig he ima fore i he orresodig direios of ieres. VI. CONCLUSION Chaer sill udermies he effors of he mahiis by reduig surfae qualiy, roduiviy ad ireasig os i damage reair. I his aer, a aleraive aroah o exraig he rasfer fuio usig he FEM modal aalysis has bee reseed. The aroah is based o he Fourier rasform of he resuls obaied from he fiie eleme aalysis. The resuls are show o agree wih exerimeal resuls ad hee he rasfer fuio alulaed. Is auray is furher exlored by is use i sabiliy lobe rediios. This aroah a be used o solve differe roblems eouered hrough he use of ima es, iludig obaiig he frequey resose fuio i direios ha a rove diffiul exerimeally. ACKNOWLEDGEMENTS The auhors akowledge he suor give by EPSRC for fudig his roe ad also he immese suor give by Airbus alog wih Mr. Aliser Reyish (GKN Aerosae). REFERENCE [] F. W. Taylor, O he ar of uig meals, Trasaios of he Ameria Soiey of Mehaial Egieers, 8, (97), [] S. A. Tobias ad W. Fishwik, A Theory of Regeeraive Chaer, The Egieer Lodo, (958). [3] J. Tlusy, M. Polaek, The sabiliy of mahie ools agais self exied vibraios i mahiig, i: Proeedigs of he ASME Ieraioal Researh i Produio Egieerig, Pisburgh, USA, (963), [4] F. Koeigsberger ad J. Tlusy, Mahie Tool Sruures Sabiliy Agais Chaer, Pergamo Press,, (967). [5] H. E. Merri, Theory of Self-Exied Mahie Tool Chaer, Joural of Egieerig for Idusry, Trasaios of he ASME, 87, (965), [6] J. Tlusy ad P. Ismail, Basi Nolieariy i Mahiig Chaer, Aals of he CIRP, (), (98). [7] J. Tlusy ad P. Ismail, Seial Ases of Chaer i Millig, Joural of Vibraio, Aousis, Sress, ad Reliabiliy i Desig, 5, (983). [8] J. Slaviek, The Effe of Irregular Tooh Pih o Sabiliy of Millig, 6h MTDR Coferee Maheser, (965). [9] P. Vaherk, Ireasig Millig Mahie Produiviy by Use of Cuers wih No-Cosa Cuig Edge Pih, 8h MTDR Coferee Maheser, (967). [] R Sridhar, R. E. Hoh ad G. W. Log, Geeral Formulaio of he Millig Proess Equaio, Joural of Egieerig for Idusry, Trasaios of he ASME, (968), [] R. Sridhar, R.E. Hoh, ad G.W. Log. A Sabiliy Algorihm for he Geeral Millig Proess, Joural of Egieerig for Idusry, Trasaios of he ASME, (968), [] R.E. Hoh, R. Sridhar, ad G.W. Log. A Sabiliy Algorihm for a Seial Case of he Millig Proess, Joural of Egieerig for Idusry, Trasaios of he ASME, (968), [3] H. Oiz, Chaer Behaviour of Heavy Mahie Tools, Quarerly Tehial Reor No. AF 6 (5) 96 Researh ad Tehology Divisio Wrigh Paerso Air Fore Base OH. (968). [4] H. Oiz ad F. Berardi, Ivesigaio ad Calulaio of he Chaer Behaviour of Lahes ad Millig Mahies, Aals of he CIRP, 8, (97), [5] J. Tlusy ad F. Koeigsberger, Mahie Tool Sruures, Pergamo Press Oxford 5h Ed.,, (97). [6] I. Miis, T. Yaushevsky, R. Tembo ad R. Hoke, Aalysis of Liear ad Noliear Chaer i Millig, Aals of he CIRP, 39, (99), [7] I. Miis ad T. Yaushevsky, A New Theoreial Aroah for he Prediio of Mahie Tool Chaer i Millig, Joural of Egieerig for Idusry, Trasaios of he ASME, 5, (993),. -8. [8] A. C. Lee ad C. S. Liu, Aalysis of Chaer Vibraio i he Ed Millig Proess, Ieraioal Joural of Mahie Tool Desig ad Researh, 3(4), (99), [9] A. C. Lee, C. S. Liu ad S. T. Chiag, Aalysis of Chaer Vibraio i a Cuer Workiee Sysem, Ieraioal Joural of Mahie Tool Desig ad Researh, 3(), (99),. 34. [] E. Budak, Mehais ad dyamis of millig hi walled sruures. Ph.D. Thesis, The Uiversiy of Briish Columbia, Vaouver, B.C., Caada, (994). [] Y. Alias ad E. Budak, Aalyial rediio of sabiliy lobes i millig, CIRP Aals - Maufaurig Tehology, 44(), (995), [] E. Budak ad Y. Alias, Aalyial rediio of haer sabiliy i millig - Par I: Geeral formulaio, Proeedig of ASME 995 Ieraioal Mehaial Egieerig Coferee ad Exosiio, Sa Fraiso, USA, (995). [3] E. Budak, Aalyial Prediio of Chaer Sabiliy i Millig Par I: Geeral Formulaio, Joural of Dyami Sysems, Measureme ad Corol, Trasaios of he ASME,, (998),. 3. [4] Y. Alias, E. Shamoo, P. Lee ad E. Budak, Aalyial Prediio of Sabiliy Lobes i Ball-Ed-Millig, Joural of Maufaurig Siee ad Egieerig Trasaios of he ASME, (4), (999), (Advae olie ubliaio: 9 November 9)

9 Egieerig Leers, 7:4, EL_7_4_7 [5] Y. Alias, Aalyial rediio of hree dimesioal haer sabiliy i millig, JSME Ieraioal Joural, Series C: Mehaial Sysems, Mahie Elemes ad Maufaurig, 44(3), (), [6] F. J. Cama, L. N. Loez de Laalle, A. Lamikiz ad J. A. Sahez, Seleio of uig odiios for a sable millig of flexible ars wih bull-ose ed mills, Joural of Maerials Proessig Tehology, 9(-3), (7), [7] O. B. Adeoro, W. M. Sim, ad P. H. We, Sabiliy Lobes Prediio for Corer Radius Ed Mill usig Noliear Cuig Fore Coeffiies, Mahiig Siee ad Tehology (submied for ubliaio Augus 9). [8] V. Theveo, L. Araud, G. Dessei ad G. Cazeave-Larrohe, Ifluee of Maerial Removal o he Dyamis Behavior of Thi-walled Sruures i Periheral Millig. Mahiig Siee ad Tehology,, (6), [9] S. Seguy, F. J. Cama, L. N. Loez de Laalle, Toolah deede sabiliy lobes for he millig of hi-walled ars, Ieraioal Joural of Mahiig ad Mahiabiliy of Maerials, 4(4), (8), [3] O. B. Adeoro, W. M. Sim, ad P. H. We, Aurae Prediio of Sabiliy Lobes usig Noliear Thi Wall Dyamis, Joural of Maerial Proessig Tehology, (submied for ubliaio Augus 9). [3] R. G. Grimes, J. G. Lewis ad H. D. Simo, A Shifed Blok Lazos Algorihm for Solvig Sarse Symmeri Geeralized Eigeroblems, SIAM Joural o Marix Aalysis ad Aliaios, 5, (994), [3] Karlsso & Sorese, I. Hibbi, Abaqus Theory Maual, 8 Mai Sree Pawuke Rl USA, (6). [33] S. W. Smih, The Siei & Egieer's Guide o Digial Sigal Proessig, Califoria Tehial Pub. Sa Diego, s ediio, (997). Available: h:// [34] Y. Alias, Maufaurig Auomaio, Cambridge Uiversiy Press, New York, NY (). [35] O. B. Adeoro, W. M. Sim, P. H. We, R. Vea, Prediio of Proorioal Damig Parameers, Joural of Advaed Maufaurig Sysems, (submied for ubliaio Aril 9). [36] O. B. Adeoro, W. M. Sim, P. H. We, A New Damig Modellig Aroah ad is Aliaio i Thi Wall Mahiig, The Ieraioal Joural of Advaed Maufaurig Tehology (submied ubliaio May 9). (Advae olie ubliaio: 9 November 9)

Fuzzy Task Assignment Model of Web Services Supplier

Fuzzy Task Assignment Model of Web Services Supplier Advaed Siee ad Tehology eers Vol.78 (Mulrab 2014),.43-48 h://dx.doi.org/10.14257/asl.2014.78.08 Fuzzy Task Assige Model of Web Servies Sulier Su Jia 1,2,Peg Xiu-ya 1, *, Xu Yig 1,3, Wag Pei-lei 2, Ma Na-ji

More information

Introduction to Statistical Analysis of Time Series Richard A. Davis Department of Statistics

Introduction to Statistical Analysis of Time Series Richard A. Davis Department of Statistics Iroduio o Saisial Aalysis of Time Series Rihard A. Davis Deparme of Saisis Oulie Modelig obeives i ime series Geeral feaures of eologial/eviromeal ime series Compoes of a ime series Frequey domai aalysis-he

More information

A Bayesian Based Search and Classification System for Product. Information of Agricultural Logistics Information Technology

A Bayesian Based Search and Classification System for Product. Information of Agricultural Logistics Information Technology A Bayesia Based Searh ad Classifiaio Sysem for Produ Iformaio of Agriulural Logisis Iformaio Tehology Dada Li 1,Daoliag Li 1,3, Yigyi Che 1,3, Li Li 1, Xiagyag Qi 3, Yogu Zheg 1, * 1 Chia Agriulural Uiversiy,

More information

Unsteady State Molecular Diffusion

Unsteady State Molecular Diffusion Chaper. Differeial Mass Balae Useady Sae Moleular Diffusio Whe he ieral oeraio gradie is o egligible or Bi

More information

Why we use compounding and discounting approaches

Why we use compounding and discounting approaches Comoudig, Discouig, ad ubiased Growh Raes Near Deb s school i Souher Colorado. A examle of slow growh. Coyrigh 000-04, Gary R. Evas. May be used for o-rofi isrucioal uroses oly wihou ermissio of he auhor.

More information

Data Protection and Privacy- Technologies in Focus. Rashmi Chandrashekar, Accenture

Data Protection and Privacy- Technologies in Focus. Rashmi Chandrashekar, Accenture Daa Proeio ad Privay- Tehologies i Fous Rashmi Chadrashekar, Aeure Sesiive Creai Daa Lifeyle o Busiess sesiive daa proeio is o a sigle eve. Adequae proeio o mus be provided appropriaely hroughou Mai he

More information

Mechanical Vibrations Chapter 4

Mechanical Vibrations Chapter 4 Mechaical Vibraios Chaper 4 Peer Aviabile Mechaical Egieerig Deparme Uiversiy of Massachuses Lowell 22.457 Mechaical Vibraios - Chaper 4 1 Dr. Peer Aviabile Modal Aalysis & Corols Laboraory Impulse Exciaio

More information

ACCOUNTING TURNOVER RATIOS AND CASH CONVERSION CYCLE

ACCOUNTING TURNOVER RATIOS AND CASH CONVERSION CYCLE Problems ad Persecives of Maageme, 24 Absrac ACCOUNTING TURNOVER RATIOS AND CASH CONVERSION CYCLE Pedro Orí-Ágel, Diego Prior Fiacial saemes, ad esecially accouig raios, are usually used o evaluae acual

More information

CHAPTER 22 ASSET BASED FINANCING: LEASE, HIRE PURCHASE AND PROJECT FINANCING

CHAPTER 22 ASSET BASED FINANCING: LEASE, HIRE PURCHASE AND PROJECT FINANCING CHAPTER 22 ASSET BASED FINANCING: LEASE, HIRE PURCHASE AND PROJECT FINANCING Q.1 Defie a lease. How does i differ from a hire purchase ad isalme sale? Wha are he cash flow cosequeces of a lease? Illusrae.

More information

CALCULATION OF OMX TALLINN

CALCULATION OF OMX TALLINN CALCULATION OF OMX TALLINN CALCULATION OF OMX TALLINN 1. OMX Tallinn index...3 2. Terms in use...3 3. Comuaion rules of OMX Tallinn...3 3.1. Oening, real-ime and closing value of he Index...3 3.2. Index

More information

1/22/2007 EECS 723 intro 2/3

1/22/2007 EECS 723 intro 2/3 1/22/2007 EES 723 iro 2/3 eraily, all elecrical egieers kow of liear sysems heory. Bu, i is helpful o firs review hese coceps o make sure ha we all udersad wha his heory is, why i works, ad how i is useful.

More information

Bullwhip Effect Measure When Supply Chain Demand is Forecasting

Bullwhip Effect Measure When Supply Chain Demand is Forecasting J. Basic. Appl. Sci. Res., (4)47-43, 01 01, TexRoad Publicaio ISSN 090-4304 Joural of Basic ad Applied Scieific Research www.exroad.com Bullwhip Effec Measure Whe Supply Chai emad is Forecasig Ayub Rahimzadeh

More information

How to calculate effect sizes from published research: A simplified methodology

How to calculate effect sizes from published research: A simplified methodology WORK-LEARNING RESEARCH How o alulae effe sizes from published researh: A simplified mehodology Will Thalheimer Samanha Cook A Publiaion Copyrigh 2002 by Will Thalheimer All righs are reserved wih one exepion.

More information

3 Energy. 3.3. Non-Flow Energy Equation (NFEE) Internal Energy. MECH 225 Engineering Science 2

3 Energy. 3.3. Non-Flow Energy Equation (NFEE) Internal Energy. MECH 225 Engineering Science 2 MECH 5 Egieerig Sciece 3 Eergy 3.3. No-Flow Eergy Equatio (NFEE) You may have oticed that the term system kees croig u. It is ecessary, therefore, that before we start ay aalysis we defie the system that

More information

A Queuing Model of the N-design Multi-skill Call Center with Impatient Customers

A Queuing Model of the N-design Multi-skill Call Center with Impatient Customers Ieraioal Joural of u- ad e- ervice, ciece ad Techology Vol.8, o., pp.- hp://dx.doi.org/./ijuess..8.. A Queuig Model of he -desig Muli-skill Call Ceer wih Impaie Cusomers Chuya Li, ad Deua Yue Yasha Uiversiy,

More information

SOLID MECHANICS DYNAMICS TUTORIAL DAMPED VIBRATIONS. On completion of this tutorial you should be able to do the following.

SOLID MECHANICS DYNAMICS TUTORIAL DAMPED VIBRATIONS. On completion of this tutorial you should be able to do the following. SOLID MECHANICS DYNAMICS TUTORIAL DAMPED VIBRATIONS This work overs elemets of the syllabus for the Egieerig Couil Eam D5 Dyamis of Mehaial Systems, C05 Mehaial ad Strutural Egieerig ad the Edeel HNC/D

More information

THE PRESSURE DERIVATIVE

THE PRESSURE DERIVATIVE Tom Aage Jelmer NTNU Dearmen of Peroleum Engineering and Alied Geohysics THE PRESSURE DERIVATIVE The ressure derivaive has imoran diagnosic roeries. I is also imoran for making ye curve analysis more reliable.

More information

Study on Improved Truncated Binary Exponential Back-off Collision Resolution Algorithm

Study on Improved Truncated Binary Exponential Back-off Collision Resolution Algorithm IJCSNS Inernaional Journal of Couer Siene and Nework Seuriy, VOL. 6 No.11, Noveber 6 97 Sudy on Iroved Trunaed Binary Exonenial Bak-off Collision Resoluion Algorih Yongfa Ling and Deyu Meng Fauly of Siene,

More information

On Motion of Robot End-effector Using The Curvature Theory of Timelike Ruled Surfaces With Timelike Ruling

On Motion of Robot End-effector Using The Curvature Theory of Timelike Ruled Surfaces With Timelike Ruling O Moio of obo Ed-effecor Usig he Curvaure heory of imelike uled Surfaces Wih imelike ulig Cumali Ekici¹, Yasi Ülüürk¹, Musafa Dede¹ B. S. yuh² ¹ Eskişehir Osmagazi Uiversiy Deparme of Mahemaics, 6480-UKEY

More information

http://www.ejournalofscience.org Monitoring of Network Traffic based on Queuing Theory

http://www.ejournalofscience.org Monitoring of Network Traffic based on Queuing Theory VOL., NO., November ISSN XXXX-XXXX ARN Joural of Sciece a Techology - ARN Jourals. All righs reserve. hp://www.ejouralofsciece.org Moiorig of Newor Traffic base o Queuig Theory S. Saha Ray,. Sahoo Naioal

More information

PRESSURE BUILDUP. Figure 1: Schematic of an ideal buildup test

PRESSURE BUILDUP. Figure 1: Schematic of an ideal buildup test Tom Aage Jelmer NTNU Dearmen of Peroleum Engineering and Alied Geohysics PRESSURE BUILDUP I is difficul o kee he rae consan in a roducing well. This is no an issue in a buildu es since he well is closed.

More information

FORECASTING MODEL FOR AUTOMOBILE SALES IN THAILAND

FORECASTING MODEL FOR AUTOMOBILE SALES IN THAILAND FORECASTING MODEL FOR AUTOMOBILE SALES IN THAILAND by Wachareepor Chaimogkol Naioal Isiue of Developme Admiisraio, Bagkok, Thailad Email: wachare@as.ida.ac.h ad Chuaip Tasahi Kig Mogku's Isiue of Techology

More information

Hilbert Transform Relations

Hilbert Transform Relations BULGARIAN ACADEMY OF SCIENCES CYBERNEICS AND INFORMAION ECHNOLOGIES Volume 5, No Sofia 5 Hilber rasform Relaios Each coiuous problem (differeial equaio) has may discree approximaios (differece equaios)

More information

Research Article Dynamic Pricing of a Web Service in an Advance Selling Environment

Research Article Dynamic Pricing of a Web Service in an Advance Selling Environment Hidawi Publishig Corporaio Mahemaical Problems i Egieerig Volume 215, Aricle ID 783149, 21 pages hp://dx.doi.org/1.1155/215/783149 Research Aricle Dyamic Pricig of a Web Service i a Advace Sellig Evirome

More information

Chapter 4 Multiple-Degree-of-Freedom (MDOF) Systems. Packing of an instrument

Chapter 4 Multiple-Degree-of-Freedom (MDOF) Systems. Packing of an instrument Chaper 4 Mulple-Degree-of-Freedom (MDOF Sysems Eamples: Pacg of a srume Number of degrees of freedom Number of masses he sysem X Number of possble ypes of moo of each mass Mehods: Newo s Law ad Lagrage

More information

A formulation for measuring the bullwhip effect with spreadsheets Una formulación para medir el efecto bullwhip con hojas de cálculo

A formulation for measuring the bullwhip effect with spreadsheets Una formulación para medir el efecto bullwhip con hojas de cálculo irecció y rgaizació 48 (01) 9-33 9 www.revisadyo.com A formulaio for measurig he bullwhip effec wih spreadshees Ua formulació para medir el efeco bullwhip co hojas de cálculo Javier Parra-Pea 1, Josefa

More information

A Capacity Supply Model for Virtualized Servers

A Capacity Supply Model for Virtualized Servers 96 Iformatia Eoomiă vol. 3, o. 3/009 A apaity upply Model for Virtualized ervers Alexader PINNOW, tefa OTERBURG Otto-vo-Guerike-Uiversity, Magdeburg, Germay {alexader.piow stefa.osterburg}@iti.s.ui-magdeburg.de

More information

Transient Analysis of First Order RC and RL circuits

Transient Analysis of First Order RC and RL circuits Transien Analysis of Firs Order and iruis The irui shown on Figure 1 wih he swih open is haraerized by a pariular operaing ondiion. Sine he swih is open, no urren flows in he irui (i=0) and v=0. The volage

More information

Modeling the Nigerian Inflation Rates Using Periodogram and Fourier Series Analysis

Modeling the Nigerian Inflation Rates Using Periodogram and Fourier Series Analysis CBN Joural of Applied Saisics Vol. 4 No.2 (December, 2013) 51 Modelig he Nigeria Iflaio Raes Usig Periodogram ad Fourier Series Aalysis 1 Chukwuemeka O. Omekara, Emmauel J. Ekpeyog ad Michael P. Ekeree

More information

Modelling Time Series of Counts

Modelling Time Series of Counts Modellig ime Series of Cous Richard A. Davis Colorado Sae Uiversiy William Dusmuir Uiversiy of New Souh Wales Yig Wag Colorado Sae Uiversiy /3/00 Modellig ime Series of Cous wo ypes of Models for Poisso

More information

An Analytical Design Method for Milling Cutters With Nonconstant Pitch to Increase Stability, Part I: Theory

An Analytical Design Method for Milling Cutters With Nonconstant Pitch to Increase Stability, Part I: Theory E. Budak* Faculty of Engineering and atural Sciences, Sabancı University, İstanbul, Turkey e-mail: ebudak@sabanciuniv.edu An Analytical Design Method for Milling Cutters With onconstant Pitch to Increase

More information

APPLICATIONS OF GEOMETRIC

APPLICATIONS OF GEOMETRIC APPLICATIONS OF GEOMETRIC SEQUENCES AND SERIES TO FINANCIAL MATHS The mos powerful force i he world is compoud ieres (Alber Eisei) Page of 52 Fiacial Mahs Coes Loas ad ivesmes - erms ad examples... 3 Derivaio

More information

A GLOSSARY OF MAIN TERMS

A GLOSSARY OF MAIN TERMS he aedix o his glossary gives he mai aggregae umber formulae used for cosumer rice (CI) uroses ad also exlais he ierrelaioshis bewee hem. Acquisiios aroach Addiiviy Aggregae Aggregaio Axiomaic, or es aroach

More information

ABSTRACT INTRODUCTION MATERIALS AND METHODS

ABSTRACT INTRODUCTION MATERIALS AND METHODS INTENATIONAL JOUNAL OF AGICULTUE & BIOLOGY 156 853/6/8 1 5 9 http://www.fspublishers.org Multiplate Peetratio Tests to Predit Soil Pressure-siage Behaviour uder etagular egio M. ASHIDI 1, A. KEYHANI AND

More information

Introduction to Hypothesis Testing

Introduction to Hypothesis Testing Iroducio o Hyohei Teig Iroducio o Hyohei Teig Scieific Mehod. Sae a reearch hyohei or oe a queio.. Gaher daa or evidece (obervaioal or eerimeal) o awer he queio. 3. Summarize daa ad e he hyohei. 4. Draw

More information

UNDERWRITING AND EXTRA RISKS IN LIFE INSURANCE Katarína Sakálová

UNDERWRITING AND EXTRA RISKS IN LIFE INSURANCE Katarína Sakálová The process of uderwriig UNDERWRITING AND EXTRA RISKS IN LIFE INSURANCE Kaaría Sakálová Uderwriig is he process by which a life isurace compay decides which people o accep for isurace ad o wha erms Life

More information

A Strategy for Trading the S&P 500 Futures Market

A Strategy for Trading the S&P 500 Futures Market 62 JOURNAL OF ECONOMICS AND FINANCE Volume 25 Number 1 Sprig 2001 A Sraegy for Tradig he S&P 500 Fuures Marke Edward Olszewski * Absrac A sysem for radig he S&P 500 fuures marke is proposed. The sysem

More information

Managing Learning and Turnover in Employee Staffing*

Managing Learning and Turnover in Employee Staffing* Maagig Learig ad Turover i Employee Saffig* Yog-Pi Zhou Uiversiy of Washigo Busiess School Coauhor: Noah Gas, Wharo School, UPe * Suppored by Wharo Fiacial Isiuios Ceer ad he Sloa Foudaio Call Ceer Operaios

More information

12. Spur Gear Design and selection. Standard proportions. Forces on spur gear teeth. Forces on spur gear teeth. Specifications for standard gear teeth

12. Spur Gear Design and selection. Standard proportions. Forces on spur gear teeth. Forces on spur gear teeth. Specifications for standard gear teeth . Spur Gear Desig ad selecio Objecives Apply priciples leared i Chaper 11 o acual desig ad selecio of spur gear sysems. Calculae forces o eeh of spur gears, icludig impac forces associaed wih velociy ad

More information

Distributed Containment Control with Multiple Dynamic Leaders for Double-Integrator Dynamics Using Only Position Measurements

Distributed Containment Control with Multiple Dynamic Leaders for Double-Integrator Dynamics Using Only Position Measurements IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 57, NO. 6, JUNE 22 553 Disribued Coaime Corol wih Muliple Dyamic Leaders for Double-Iegraor Dyamics Usig Oly Posiio Measuremes Jiazhe Li, Wei Re, Member, IEEE,

More information

WHAT ARE OPTION CONTRACTS?

WHAT ARE OPTION CONTRACTS? WHAT ARE OTION CONTRACTS? By rof. Ashok anekar An oion conrac is a derivaive which gives he righ o he holder of he conrac o do 'Somehing' bu wihou he obligaion o do ha 'Somehing'. The 'Somehing' can be

More information

Form measurement systems from Hommel-Etamic Geometrical tolerancing in practice DKD-K-02401. Precision is our business.

Form measurement systems from Hommel-Etamic Geometrical tolerancing in practice DKD-K-02401. Precision is our business. Form measuremen sysems from Hommel-Eamic Geomerical olerancing in pracice DKD-K-02401 Precision is our business. Drawing enries Tolerance frame 0.01 0.01 Daum leer Tolerance value in mm Symbol for he oleranced

More information

REVISTA INVESTIGACION OPERACIONAL VOL. 31, No.2, 159-170, 2010

REVISTA INVESTIGACION OPERACIONAL VOL. 31, No.2, 159-170, 2010 REVISTA INVESTIGACION OPERACIONAL VOL. 3, No., 59-70, 00 AN ALGORITHM TO OBTAIN AN OPTIMAL STRATEGY FOR THE MARKOV DECISION PROCESSES, WITH PROBABILITY DISTRIBUTION FOR THE PLANNING HORIZON. Gouliois E.

More information

The Norwegian Shareholder Tax Reconsidered

The Norwegian Shareholder Tax Reconsidered The Norwegia Shareholder Tax Recosidered Absrac I a aricle i Ieraioal Tax ad Public Fiace, Peer Birch Sørese (5) gives a i-deph accou of he ew Norwegia Shareholder Tax, which allows he shareholders a deducio

More information

An Intelligent E-commerce Recommender System Based on Web Mining

An Intelligent E-commerce Recommender System Based on Web Mining Iteratioal Joural of Busiess ad Maagemet A Itelliget E-ommere Reommeder System Based o We Miig Zimig Zeg Shool of Iformatio Maagemet, Wuha Uiversity Wuha 43007, Chia E-mail: zmzeg1977@yahoo.om. The researh

More information

The Application of Multi Shifts and Break Windows in Employees Scheduling

The Application of Multi Shifts and Break Windows in Employees Scheduling The Applicaion of Muli Shifs and Brea Windows in Employees Scheduling Evy Herowai Indusrial Engineering Deparmen, Universiy of Surabaya, Indonesia Absrac. One mehod for increasing company s performance

More information

Long-Term Care (LTC) Insurance Application I-Hsin Li

Long-Term Care (LTC) Insurance Application I-Hsin Li Log-Tem Cae (LTC Isuae Aliaio I-Hsi Li Eoomis Deame Idiaa Uivesiy Wylie Hall 0 00 S. Woodlaw Bloomigo, IN 0 ili@idiaa.edu Absa Due o a agig oulaio ad he aid gowh of log-em ae (LTC exeses, i is imoa o udesad

More information

The All New... TACO ZONE CONTROLS WIRING GUIDE

The All New... TACO ZONE CONTROLS WIRING GUIDE he All ew... ACO ZOE COROLS WIRIG GUIDE Pages Switching Relays Single Zone Wiring 4 Switching Relays Oil Boiler Wiring Safety otice 5 Switching Relays O EXP Connected ogether with Priority 6 9 Switching

More information

Single-machine Scheduling with Periodic Maintenance and both Preemptive and. Non-preemptive jobs in Remanufacturing System 1

Single-machine Scheduling with Periodic Maintenance and both Preemptive and. Non-preemptive jobs in Remanufacturing System 1 Absrac number: 05-0407 Single-machine Scheduling wih Periodic Mainenance and boh Preempive and Non-preempive jobs in Remanufacuring Sysem Liu Biyu hen Weida (School of Economics and Managemen Souheas Universiy

More information

Abstract. 1. Introduction. 1.1 Notation. 1.2 Parameters

Abstract. 1. Introduction. 1.1 Notation. 1.2 Parameters 1 Mdels, Predici, ad Esimai f Oubreaks f Ifecius Disease Peer J. Csa James P. Duyak Mjdeh Mhashemi {pjcsa@mire.rg, jduyak@mire.rg, mjdeh@mire.rg} he MIRE Crprai 202 Burlig Rad Bedfrd, MA 01730 1420 Absrac

More information

Signal Rectification

Signal Rectification 9/3/25 Signal Recificaion.doc / Signal Recificaion n imporan applicaion of juncion diodes is signal recificaion. here are wo ypes of signal recifiers, half-wae and fullwae. Le s firs consider he ideal

More information

Ranking of mutually exclusive investment projects how cash flow differences can solve the ranking problem

Ranking of mutually exclusive investment projects how cash flow differences can solve the ranking problem Chrisia Kalhoefer (Egyp) Ivesme Maageme ad Fiacial Iovaios, Volume 7, Issue 2, 2 Rakig of muually exclusive ivesme projecs how cash flow differeces ca solve he rakig problem bsrac The discussio abou he

More information

The dimensionless compressibility factor, Z, for a gaseous species is defined as the ratio

The dimensionless compressibility factor, Z, for a gaseous species is defined as the ratio Chater 3 3.4- The Comressibility Fator Equatio of State The dimesioless omressibility fator, Z, for a gaseous seies is defied as the ratio Z = (3.4-1) If the gas behaes ideally Z = 1. The extet to whih

More information

Module 4. Single-phase AC circuits. Version 2 EE IIT, Kharagpur

Module 4. Single-phase AC circuits. Version 2 EE IIT, Kharagpur Module 4 Single-phase A circuis ersion EE T, Kharagpur esson 5 Soluion of urren in A Series and Parallel ircuis ersion EE T, Kharagpur n he las lesson, wo poins were described:. How o solve for he impedance,

More information

Ranking Optimization with Constraints

Ranking Optimization with Constraints Rakig Opimizaio wih Cosrais Fagzhao Wu, Ju Xu, Hag Li, Xi Jiag Tsighua Naioal Laboraory for Iformaio Sciece ad Techology, Deparme of Elecroic Egieerig, Tsighua Uiversiy, Beijig, Chia Noah s Ark Lab, Huawei

More information

Optimal Combination of International and Inter-temporal Diversification of Disaster Risk: Role of Government. Tao YE, Muneta YOKOMATSU and Norio OKADA

Optimal Combination of International and Inter-temporal Diversification of Disaster Risk: Role of Government. Tao YE, Muneta YOKOMATSU and Norio OKADA 京 都 大 学 防 災 研 究 所 年 報 第 5 号 B 平 成 9 年 4 月 Auals of Disas. Prev. Res. Is., Kyoo Uiv., No. 5 B, 27 Opimal Combiaio of Ieraioal a Ier-emporal Diversificaio of Disaser Risk: Role of Goverme Tao YE, Muea YOKOMATSUaNorio

More information

17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides

17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides 7 Laplace ransform. Solving linear ODE wih piecewise coninuous righ hand sides In his lecure I will show how o apply he Laplace ransform o he ODE Ly = f wih piecewise coninuous f. Definiion. A funcion

More information

APPLICATION OF Q-MEASURE IN A REAL TIME FUZZY SYSTEM FOR MANAGING FINANCIAL ASSETS

APPLICATION OF Q-MEASURE IN A REAL TIME FUZZY SYSTEM FOR MANAGING FINANCIAL ASSETS Inernaional Journal on Sof Comuing (IJSC) Vol.3, No.4, November 202 APPLICATION OF Q-MEASURE IN A REAL TIME FUZZY SYSTEM FOR MANAGING FINANCIAL ASSETS Penka Georgieva and Ivan Pochev 2 Burgas Free Universiy,

More information

Highly Reliable Two-Dimensional RAID Arrays for Archival Storage

Highly Reliable Two-Dimensional RAID Arrays for Archival Storage Highly Reliable Two-Dimeioal RAID Array for Archival Sorage Jeha-Fraçoi Pâri Comuer Sciece De. Uiveriy of Houo Houo, TX 77- jari@uh.edu Thoma Schwarz, S. J. Deo. de Iformáica y Ciecia de la Comuació U.

More information

A Way of Hedging Mortality Rate Risks in Life Insurance Product Development

A Way of Hedging Mortality Rate Risks in Life Insurance Product Development A Way of Hegig Moraliy ae iss i Life Isurace Prouc Develome Chagi Kim Absrac Forecasig moraliy imrovemes i he fuure is imora a ecessary for isurace busiess. A ieresig observaio is ha moraliy raes for a

More information

Investigation of Viaduct Movements during Train Pass Using GPS Technique

Investigation of Viaduct Movements during Train Pass Using GPS Technique 53 Invesigaion of Viaduc Movemens during Train Pass Using GP Technique Rzeeca. Cellmer. and Raisi J. Insiue of Geodesy Universiy of Warmia and Mazury in Olszyn Poland E-mail: jace.rainsi@gmail.com Absrac

More information

Economics Honors Exam 2008 Solutions Question 5

Economics Honors Exam 2008 Solutions Question 5 Economics Honors Exam 2008 Soluions Quesion 5 (a) (2 poins) Oupu can be decomposed as Y = C + I + G. And we can solve for i by subsiuing in equaions given in he quesion, Y = C + I + G = c 0 + c Y D + I

More information

2-3 The Remainder and Factor Theorems

2-3 The Remainder and Factor Theorems - The Remaider ad Factor Theorems Factor each polyomial completely usig the give factor ad log divisio 1 x + x x 60; x + So, x + x x 60 = (x + )(x x 15) Factorig the quadratic expressio yields x + x x

More information

Acceleration Lab Teacher s Guide

Acceleration Lab Teacher s Guide Acceleraion Lab Teacher s Guide Objecives:. Use graphs of disance vs. ime and velociy vs. ime o find acceleraion of a oy car.. Observe he relaionship beween he angle of an inclined plane and he acceleraion

More information

The Transport Equation

The Transport Equation The Transpor Equaion Consider a fluid, flowing wih velociy, V, in a hin sraigh ube whose cross secion will be denoed by A. Suppose he fluid conains a conaminan whose concenraion a posiion a ime will be

More information

TSG-RAN Working Group 1 (Radio Layer 1) meeting #3 Nynashamn, Sweden 22 nd 26 th March 1999

TSG-RAN Working Group 1 (Radio Layer 1) meeting #3 Nynashamn, Sweden 22 nd 26 th March 1999 TSG-RAN Working Group 1 (Radio Layer 1) meeing #3 Nynashamn, Sweden 22 nd 26 h March 1999 RAN TSGW1#3(99)196 Agenda Iem: 9.1 Source: Tile: Documen for: Moorola Macro-diversiy for he PRACH Discussion/Decision

More information

Modulation for Analog Communication. Yao Wang Polytechnic University, Brooklyn, NY11201 http://eeweb.poly.edu/~yao

Modulation for Analog Communication. Yao Wang Polytechnic University, Brooklyn, NY11201 http://eeweb.poly.edu/~yao Modulaion or Analog Communiaion Yao Wang Polyehni Universiy, Brooklyn, NY11201 hp://eeweb.poly.edu/~yao Ouline Baseband ommuniaion: bandwidh requiremen Modulaion o oninuous signals Ampliude modulaion Quadraure

More information

MTH6121 Introduction to Mathematical Finance Lesson 5

MTH6121 Introduction to Mathematical Finance Lesson 5 26 MTH6121 Inroducion o Mahemaical Finance Lesson 5 Conens 2.3 Brownian moion wih drif........................... 27 2.4 Geomeric Brownian moion........................... 28 2.5 Convergence of random

More information

, a Wishart distribution with n -1 degrees of freedom and scale matrix.

, a Wishart distribution with n -1 degrees of freedom and scale matrix. UMEÅ UNIVERSITET Matematisk-statistiska istitutioe Multivariat dataaalys D MSTD79 PA TENTAMEN 004-0-9 LÖSNINGSFÖRSLAG TILL TENTAMEN I MATEMATISK STATISTIK Multivariat dataaalys D, 5 poäg.. Assume that

More information

Trigonometric Form of a Complex Number. The Complex Plane. axis. ( 2, 1) or 2 i FIGURE 6.44. The absolute value of the complex number z a bi is

Trigonometric Form of a Complex Number. The Complex Plane. axis. ( 2, 1) or 2 i FIGURE 6.44. The absolute value of the complex number z a bi is 0_0605.qxd /5/05 0:45 AM Page 470 470 Chapter 6 Additioal Topics i Trigoometry 6.5 Trigoometric Form of a Complex Number What you should lear Plot complex umbers i the complex plae ad fid absolute values

More information

USE OF EDUCATION TECHNOLOGY IN ENGLISH CLASSES

USE OF EDUCATION TECHNOLOGY IN ENGLISH CLASSES USE OF EDUCATION TECHNOLOGY IN ENGLISH CLASSES Mehme Nuri GÖMLEKSİZ Absrac Using educaion echnology in classes helps eachers realize a beer and more effecive learning. In his sudy 150 English eachers were

More information

Review: Classification Outline

Review: Classification Outline Data Miig CS 341, Sprig 2007 Decisio Trees Neural etworks Review: Lecture 6: Classificatio issues, regressio, bayesia classificatio Pretice Hall 2 Data Miig Core Techiques Classificatio Clusterig Associatio

More information

1 HALF-LIFE EQUATIONS

1 HALF-LIFE EQUATIONS R.L. Hanna Page HALF-LIFE EQUATIONS The basic equaion ; he saring poin ; : wrien for ime: x / where fracion of original maerial and / number of half-lives, and / log / o calculae he age (# ears): age (half-life)

More information

Equation for a line. Synthetic Impulse Response 0.5 0.5. 0 5 10 15 20 25 Time (sec) x(t) m

Equation for a line. Synthetic Impulse Response 0.5 0.5. 0 5 10 15 20 25 Time (sec) x(t) m Fundamenals of Signals Overview Definiion Examples Energy and power Signal ransformaions Periodic signals Symmery Exponenial & sinusoidal signals Basis funcions Equaion for a line x() m x() =m( ) You will

More information

Analytical Prediction of Part Dynamics for Machining Stability Analysis

Analytical Prediction of Part Dynamics for Machining Stability Analysis Paper: Analytical Prediction of Part Dynamics Salih Alan, Erhan Budak, and H. Nevzat Özgüven Department of Mechanical Engineering, Middle East Technical University 06531 Ankara, Turkey Faculty of Engineering

More information

Systems Design Project: Indoor Location of Wireless Devices

Systems Design Project: Indoor Location of Wireless Devices Systems Desig Project: Idoor Locatio of Wireless Devices Prepared By: Bria Murphy Seior Systems Sciece ad Egieerig Washigto Uiversity i St. Louis Phoe: (805) 698-5295 Email: bcm1@cec.wustl.edu Supervised

More information

Soving Recurrence Relations

Soving Recurrence Relations Sovig Recurrece Relatios Part 1. Homogeeous liear 2d degree relatios with costat coefficiets. Cosider the recurrece relatio ( ) T () + at ( 1) + bt ( 2) = 0 This is called a homogeeous liear 2d degree

More information

IDENTIFICATION OF MARKET POWER IN BILATERAL OLIGOPOLY: THE BRAZILIAN WHOLESALE MARKET OF UHT MILK 1. Abstract

IDENTIFICATION OF MARKET POWER IN BILATERAL OLIGOPOLY: THE BRAZILIAN WHOLESALE MARKET OF UHT MILK 1. Abstract IDENTIFICATION OF MARKET POWER IN BILATERAL OLIGOPOLY: THE BRAZILIAN WHOLESALE MARKET OF UHT MILK 1 Paulo Robero Scalco Marcelo Jose Braga 3 Absrac The aim of his sudy was o es he hypohesis of marke power

More information

cooking trajectory boiling water B (t) microwave 0 2 4 6 8 101214161820 time t (mins)

cooking trajectory boiling water B (t) microwave 0 2 4 6 8 101214161820 time t (mins) Alligaor egg wih calculus We have a large alligaor egg jus ou of he fridge (1 ) which we need o hea o 9. Now here are wo accepable mehods for heaing alligaor eggs, one is o immerse hem in boiling waer

More information

A panel data approach for fashion sales forecasting

A panel data approach for fashion sales forecasting A pael daa approach for fashio sales forecasig Shuyu Re(shuyu_shara@live.c), Tsa-Mig Choi, Na Liu Busiess Divisio, Isiue of Texiles ad Clohig, The Hog Kog Polyechic Uiversiy, Hug Hom, Kowloo, Hog Kog Absrac:

More information

UC Berkeley Department of Electrical Engineering and Computer Science. EE 126: Probablity and Random Processes. Solutions 9 Spring 2006

UC Berkeley Department of Electrical Engineering and Computer Science. EE 126: Probablity and Random Processes. Solutions 9 Spring 2006 Exam format UC Bereley Departmet of Electrical Egieerig ad Computer Sciece EE 6: Probablity ad Radom Processes Solutios 9 Sprig 006 The secod midterm will be held o Wedesday May 7; CHECK the fial exam

More information

Voltage level shifting

Voltage level shifting rek Applicaion Noe Number 1 r. Maciej A. Noras Absrac A brief descripion of volage shifing circuis. 1 Inroducion In applicaions requiring a unipolar A volage signal, he signal may be delivered from a bi-polar

More information

The Term Structure of Interest Rates

The Term Structure of Interest Rates The Term Srucure of Ieres Raes Wha is i? The relaioship amog ieres raes over differe imehorizos, as viewed from oday, = 0. A cocep closely relaed o his: The Yield Curve Plos he effecive aual yield agais

More information

C Fast-Dealing Property Trading Game C

C Fast-Dealing Property Trading Game C AGES 8+ C Fas-Dealing Propery Trading Game C Y Collecor s Ediion Original MONOPOLY Game Rules plus Special Rules for his Ediion. CONTENTS Game board, 6 Collecible okens, 28 Tile Deed cards, 16 Wha he Deuce?

More information

HiPath 4000 Hicom 300 E/300 H. Operating Instructions optipoint 500 entry

HiPath 4000 Hicom 300 E/300 H. Operating Instructions optipoint 500 entry s HiPah 4000 Hicom 300 E/300 H Oeraig Isrucios oipoi 500 ery Abou hese Oeraig Isrucios Abou hese Oeraig Isrucios These Oeraig Isrucios describe he use of he oipoi 500 ery elehoe i cojucio wih he HiPah

More information

Chapter 8: Regression with Lagged Explanatory Variables

Chapter 8: Regression with Lagged Explanatory Variables Chaper 8: Regression wih Lagged Explanaory Variables Time series daa: Y for =1,..,T End goal: Regression model relaing a dependen variable o explanaory variables. Wih ime series new issues arise: 1. One

More information

Optimal Real-Time Scheduling for Hybrid Energy Storage Systems and Wind Farms Based on Model Predictive Control

Optimal Real-Time Scheduling for Hybrid Energy Storage Systems and Wind Farms Based on Model Predictive Control Energies 2015, 8, 8020-8051; doi:10.3390/en8088020 Aricle OPEN ACCESS energies ISSN 1996-1073 www.mdi.com/journal/energies Oimal Real-Time Scheduling for Hybrid Energy Sorage Sysems and Wind Farms Based

More information

Combining Adaptive Filtering and IF Flows to Detect DDoS Attacks within a Router

Combining Adaptive Filtering and IF Flows to Detect DDoS Attacks within a Router KSII RANSAIONS ON INERNE AN INFORMAION SYSEMS VOL. 4, NO. 3, Jue 2 428 opyrigh c 2 KSII ombiig Adapive Filerig ad IF Flows o eec os Aacks wihi a Rouer Ruoyu Ya,2, Qighua Zheg ad Haifei Li 3 eparme of ompuer

More information

PERFORMANCE COMPARISON OF TIME SERIES DATA USING PREDICTIVE DATA MINING TECHNIQUES

PERFORMANCE COMPARISON OF TIME SERIES DATA USING PREDICTIVE DATA MINING TECHNIQUES , pp.-57-66. Available olie a hp://www.bioifo.i/coes.php?id=32 PERFORMANCE COMPARISON OF TIME SERIES DATA USING PREDICTIVE DATA MINING TECHNIQUES SAIGAL S. 1 * AND MEHROTRA D. 2 1Deparme of Compuer Sciece,

More information

Fourier Series and Fourier Transform

Fourier Series and Fourier Transform Fourier Series and Fourier ransform Complex exponenials Complex version of Fourier Series ime Shifing, Magniude, Phase Fourier ransform Copyrigh 2007 by M.H. Perro All righs reserved. 6.082 Spring 2007

More information

HUT, TUT, LUT, OU, ÅAU / Engineering departments Entrance examination in mathematics May 25, 2004

HUT, TUT, LUT, OU, ÅAU / Engineering departments Entrance examination in mathematics May 25, 2004 HUT, TUT, LUT, OU, ÅAU / Engineeing depamens Enane examinaion in mahemais May 5, 4 Insuions. Reseve a sepaae page fo eah poblem. Give you soluions in a lea fom inluding inemediae seps. Wie a lean opy of

More information

Stability. Coefficients may change over time. Evolution of the economy Policy changes

Stability. Coefficients may change over time. Evolution of the economy Policy changes Sabiliy Coefficiens may change over ime Evoluion of he economy Policy changes Time Varying Parameers y = α + x β + Coefficiens depend on he ime period If he coefficiens vary randomly and are unpredicable,

More information

SOLID MECHANICS TUTORIAL GEAR SYSTEMS. This work covers elements of the syllabus for the Edexcel module 21722P HNC/D Mechanical Principles OUTCOME 3.

SOLID MECHANICS TUTORIAL GEAR SYSTEMS. This work covers elements of the syllabus for the Edexcel module 21722P HNC/D Mechanical Principles OUTCOME 3. SOLI MEHNIS TUTORIL GER SYSTEMS This work covers elemens of he syllabus for he Edexcel module 21722P HN/ Mechanical Principles OUTOME 3. On compleion of his shor uorial you should be able o do he following.

More information

Department of Economics Working Paper 2011:6

Department of Economics Working Paper 2011:6 Deparme of Ecoomics Workig Paper 211:6 The Norwegia Shareholder Tax Recosidered Ja Söderse ad Tobias idhe Deparme of Ecoomics Workig paper 211:6 Uppsala Uiversiy April 211 P.O. Box 513 ISSN 1653-6975 SE-751

More information

Government late payments: the effect on the Italian economy. Research Team. Prof. Franco Fiordelisi (coordinator)

Government late payments: the effect on the Italian economy. Research Team. Prof. Franco Fiordelisi (coordinator) Governmen lae paymens: he effe on he Ialian eonomy Researh Team Prof. Frano Fiordelisi (oordinaor) Universià degli sudi di Roma Tre, Ialy Bangor Business Shool, Bangor Universiy, U.K. Dr. Davide Mare Universiy

More information

GoRA. For more information on genetics and on Rheumatoid Arthritis: Genetics of Rheumatoid Arthritis. Published work referred to in the results:

GoRA. For more information on genetics and on Rheumatoid Arthritis: Genetics of Rheumatoid Arthritis. Published work referred to in the results: For more informaion on geneics and on Rheumaoid Arhriis: Published work referred o in he resuls: The geneics revoluion and he assaul on rheumaoid arhriis. A review by Michael Seldin, Crisopher Amos, Ryk

More information

Lecture 2: Telegrapher Equations For Transmission Lines. Power Flow.

Lecture 2: Telegrapher Equations For Transmission Lines. Power Flow. Whies, EE 481 Lecure 2 Page 1 of 13 Lecure 2: Telegraher Equaions For Transmission Lines. Power Flow. Microsri is one mehod for making elecrical connecions in a microwae circui. I is consruced wih a ground

More information

A New Hybrid Network Traffic Prediction Method

A New Hybrid Network Traffic Prediction Method This full ex paper was peer reviewed a he direcio of IEEE Couicaios Sociey subjec aer expers for publicaio i he IEEE Globeco proceedigs. A New Hybrid Nework Traffic Predicio Mehod Li Xiag, Xiao-Hu Ge,

More information

Definition. A variable X that takes on values X 1, X 2, X 3,...X k with respective frequencies f 1, f 2, f 3,...f k has mean

Definition. A variable X that takes on values X 1, X 2, X 3,...X k with respective frequencies f 1, f 2, f 3,...f k has mean 1 Social Studies 201 October 13, 2004 Note: The examples i these otes may be differet tha used i class. However, the examples are similar ad the methods used are idetical to what was preseted i class.

More information

INTEREST RATE FUTURES AND THEIR OPTIONS: SOME PRICING APPROACHES

INTEREST RATE FUTURES AND THEIR OPTIONS: SOME PRICING APPROACHES INTEREST RATE FUTURES AND THEIR OPTIONS: SOME PRICING APPROACHES OPENGAMMA QUANTITATIVE RESEARCH Absrac. Exchange-raded ineres rae fuures and heir opions are described. The fuure opions include hose paying

More information