THE TOLERANCE FIELD EFFECT ON THE ANGULAR CONTACT BALL BEARINGS SYSTEMS RATING LIFE

Size: px
Start display at page:

Download "THE TOLERANCE FIELD EFFECT ON THE ANGULAR CONTACT BALL BEARINGS SYSTEMS RATING LIFE"

Transcription

1 THE ANNALS O UNIVERSITY DUNĂREA DE JOS O GALAŢI ASCICLE VIII, 00, ISSN THE TOLERANCE IELD EECT ON THE ANGULAR CONTACT BALL BEARINGS SYSTEMS RATING LIE Remes Dael, Racocea Cea Techcal Uvest "Gh Asach of Ias, dem@ahoocom ABSTRACT To assue both good damc load capact ad hghe shaft stffess, two ollg beags ae usuall mouted pa The load dstbuto o the cotacts of the two ollg beags depeds o dvdual stffess of the each beag, o the legth sepaato betwee the beags, ad o the chose toleace values I ths wok we peset a model fve degees of feedom, whch could seve to fd the load dstbuto beag aagemets, cosdeg the temedate elemets as gd bodes The assembl stffess was detemed cosdeg the dvdual stffess of each elemet, ad the atg lfe was epessed as a fucto of toleace values of the temedate elemets Ths was ealsed b solvg a o-lea sstem of equatos, cludg the cetfugal effects ad some of the fcto foces KEYWORDS: Agula cotact ball beag, Quas-damc equlbum, Ratg lfe 1Aaltcal Appoach o a ollg beag pa, (,), the dstace peces L1, L ae cosdeed to have the same tal legth ad the shaft s cosdeed as gd The followg co-odate sstems wee cosdeed: a etal sstem OXYZ wth ts og o the mddle legth of the e g's cuvatue cetes; a ollg elemet fame OX 1 Y 1 Z 1 fo each (,) ball To lmt the complet of the aalss, the followg assumptos wee admtted: the beag was mouted o a elastc shaft ad a gd housg; the sufaces cotact have deal shapes; the pa beag sstem wee cosdeed to be gd ecept the local cotact oes Related to the ball co-odate sstem (OX 1 Y 1 Z 1 ), two degees of feedom, epeseted b the taslatos u ad u, have bee cosdeed fo each ball The eteal load vecto {}, appled to the ete aagemet, cotas 5 compoets that ae futhe dvded to each beag of the aagemet: {} {,,, M, M } (1a) {} {,,, M, M } (1b) The statc equlbum povdes easl the sstem of equatos: (L+B) 1 B (L+B) 1 B () M 1 +M M M 1 +M M The dsplacemet vecto {} of the e g has also fve compoets: {} {,,, γ, γ } (3) a dm/ L α0 Y 1 B1 L1 B Z1 O X1 O e Z α,1 α,1 α 0 R O X Y B1 L B B Y 1 g1 Geeal vew Statc Equlbum of the (,) ball elemet To solve the equlbum sstem (3), s ecessa to fd the compoets of {} vecto whch ae fuctos of dstaces O e, ad O espectvel The followg otatos wee toduced: l oe O e Ro-D w /-Sd/4; (4a) l o O R-D w /-Sd/4; (4b) L e l o +l oe (4c) R Z1 O X 1 C 1

2 THE ANNALS O UNIVERSITY DUNĂREA DE JOS O GALAŢI ASCICLE VIII, 00, ISSN Cosdeg detcal beags the aagemet pa, the D1 ad D values peseted gues ad 3, ae : D1 L1+(B,1 +B, )/ (5a) D L+(B o,1 +B o, )/ (5b) D1 D (5c) Cosdeg futhe the toleaces TB,o, coespodg to B1, B dstaces ad the toleaces TL 1, coespodg to L1 ad L dstaces, the values D1 ad D become: D p L+TB o,1 +TL + TB o, +(B o,1 +B o, )/ (6) D 1p L1+TB,1 +TL 1 + TB,1 +(B,1 +B, )/ (7) The tal cotact agle α 0 ad L e paametes deped also o D p ad D 1p values, so that ew values α 0, ad L e () have to be cosdeed Also, α 1, ad R paametes ae dffeet vesus the tal values The supplemeta aal cleaace toduced b the effectve values fo D p ad D 1p paametes s: a D p -D 1p (8) p p α0p O Dp D D1 α0 1 g The α 0 ad L e whe L+(B o,1 +B o, )/> L1+(B,1 +B, )/ α 0 O D Dp D1 O 1 p α0p Op gue 3 The α 0 ad L e whe L+(B o,1 +B o, )/< L1+(B,1 +B, )/ Assumg a as decso ctea esults: f a>0 fo α 0, acta((l e s(α 0 )+a)/(l e cos(α 0 )); sd1()[(l e cos(α 0, )) +(L e s(α 0, )+a) ] 05 -L e ; L e () lo+loe+sd1(); fo 1 α 0,1 α 0 ; sd1(1):0; L e (1):L e ad α,1 acta{[ D p ]/[[ dm/+lo()cos(α 0, )]]} R[ D p ]/[s(α,1 )]; f a<0 O fo 1 α 0,1 acta((l e s(α 0 )+a)/(l e cos(α 0 )); sd1(1)[(l e cos(α 0,1 )) +(L e s(α 0,1 )+a) ) 05 -L e ; L e (1)lo+loe+sd1(1); fo α 0, α 0; sd1():0; L e ():L e ad α,1 acta{[ D p ]/[[ dm/+lo()cos(α 0, )]]} R[ D p ]/[s(α,1 )]; If the e g s msalged aoud OY ad O aes wth γ ad γ agles espectvel, the the tal agle α,1 become a fucto of α 1 (,): α 1 (,)α,1 +sg()γ cos(ψ(,))+ sg()γ s(ψ(,)) (9) whee: ψ(,) defes the agula posto of the ball elemet the etal sstem; sg() defes "" ow: 1, 1 sg( ) (10) 1, Because the statc load case the e ad oute cotact agles ae equal fo a dvdual ball elemet, but dffeet fo eve ball, the total defomato that acts o the (,) ball ca be wtte as: (,) (, ) + (, ) lo loe (11) whee: (, ) Le( )cos( α0, ) + cos( ψ(, )) + + s( ψ(, )) + R[cos( α (, )) cos( α )] (, ) L ( )s( α e s( α1(, ))] The cotact agle fo the (,) olle elemet s: 0, 1 ) + + R[s( α,1,1 ) (, ) α s(, ) α(, ) αe(, ) acta (, ) (1) The omal load ad cotact agle ae gve b: Q(,) K ech (,) (13a) α (,) α e (,) (13b) The {} dsplacemet vecto esults b solvg the equlbum equato sstem fo the e g Usg the pevous elatos, the equlbum of foces ad momets ae: Q(, )cos( (, ) Q( (, )cos(, ) α ( α (, ))cos(, ))s( ψ( ψ(,, )) )) (15a) (15b)

3 8 M + M + Q(, (, ) ( (,, )s( (, )b (, (, )b THE ANNALS O UNIVERSITY DUNĂREA DE JOS O GALAŢI ASCICLE VIII, 00, ISSN α ( ), )) )b (, ) + )b (, (, ) ) + (15c) (15d) (15e) whee: Q(,) epesets the load actg o the (,) ball; (,), (,) epeset the adal foces whch act, ball; b,, (,), epesets the dstace fom the pot of e acewa - ball cotact to the cete of the etal sstem B D b (, ) + (, b(, ) C + (, s( ψ(, )) b(, ) C + (, cos( ψ(, )) ) ) ) + l o + l + l o o w s( αs(, )) Dw cos( αs(, )) Dw cos( αs(, )) (,)(,)(K ech /K ) 1/ (16) The {} compoets epeset the soluto of the Eq (15a-15e) ad t was foud b a Newto-Raphso algothm To solve the equlbum sstem (15) s ecessa to wte the Jacoba mat fo the two beags The gdt mat M s: γ γ γ γ M (17) γ γ M M M M M γ γ M M M M M γ γ whee: [ K (, ) cos( α ( {} [ K ech (, ) {} M ech cos( α ( {} M (, )b (, ) + {} Z α 0, αe (, )b (, ) +, ))s(, ))cos( (, )b (, )b O' ψ(, (18b) ψ( ))], ))] (18c) (, ) (18d) (, ) (18e) O X e g 4 The cete of mass dsplacemet (u, u) fo the (,) ball f Q l oe O lo mo u c α m * αe u Q o α g 5 The foces o (,) ball fo [ K (, ) {} ech s( α (, ))] (18a) 3 Quas-damc effects Due to cetfugal foce, both the load ad the cotact agle ae modfed vesus the statc values

4 THE ANNALS O UNIVERSITY DUNĂREA DE JOS O GALAŢI ASCICLE VIII, 00, ISSN Cosdeg the estece of the cetfugal foce the fal posto fo the mass cete of the (,) ball s peseted g 4 as fucto of u ad u paametes The ew posto of e pot s foud also wth the Newto Raphso algothm appled ths tme to all balls The loads that act o the (,) ball ae peseted g5 Cosdeg the gudg ball assumpto [1], the equlbum equatos fo the () ball ae: ECA(,)Q (,)s(α (,))-Q o (,)s(α e (,))- [mcos(α (,))-mocos(α e (,))]0 (19a) ECR(,)Q (,)cos(α (,))- Q o (,)cos(α e (,))+[ms(α (,))- mos(α e (,))]+c0 (19b) whee: m(1-λ)mg/dw; moλmg/dw; foµqo; fµq MgDw m10-7 ω c ω w s(β) β - attude agle, [ad] s( α e(, )) β acta ad λ1, fo oute ace cos( αe(, )) + γ gudg s( α (, )) β acta ad λ0, fo e ace cos( α(, )) γ gudg The followg must be cosdeed: fo ad f act lke blockg foces; If m>f the mm-f else m0; If mo>fo the momo-fo else mo0; I these codtos the gdt mat fo (,) elemet ECA(, ) ECA(, ) s: MC(, ) u ECR(, u ) ECA(, ) (0) The followg otatos wee toduced to smplf the MC(,) compoets: dtodto(,) - cotact defomato fo statc load case at oute cotact level; dtdt(,) - cotact defomato fo statc load case at e cotact level; αsαs(,) - cotact agle the statc case; ZO(l oe +dto)cos(αs)+u; (1a) XO(l oe +dto)s(αs)+u; (1b) ZI(l o +dt)cos(αs)-u; (a) XI(l o +dt)s(αs)-u; (b) (ZI +XI ) 05 -l o; o(zo +XO ) 05 -l oe TqK 15 TqoKoo 15 Td1+(XI/ZI) Tdo1+(XO/ZO) om these otatos esults: 15XI ECA ( + lo )ZI Td Tq u 1 XI ZI Td ZI Td 15XO + ECAo o(o+ loe)zo Tdo Tqo u 1 XO Zo Tdo ZO Tdo ECA ECA ECAo (3) u u u 15XI ZI ECA ( + lo )ZI Td Tq 3 XI XI ZI Td ZI Td 15XOZO + ECAo o(o+ loe)zo Td Tqo 3 XO XO ZO Tdo ZO Tdo ECA ECA ECAo (4) 15XI ECR ( + lo ) Td Tq u XI + ZI Td 15 15XO ECRo o( o + loe ) Tdo Tqo u XO ZO Tdo 15 ECR ECR ECRo u u u 15ZI ECR ( + lo ) Tq XI _ 3 15 ZI Td + Td (5) 15ZO + ECRo o( o + loe ) Tdo Tqo XO ZO Tdo ECR ECR ECRo (6)

5 84 THE ANNALS O UNIVERSITY DUNĂREA DE JOS O GALAŢI ASCICLE VIII, 00, ISSN The gdt mat of the beag The dsplacemets u ad u ae obtaed solvg the eq (0) to (6) The gdt mat (17) has the followg elemets: [ K (,,u,u ) s( α(,,u,u ))] [ K (,,u,u) cos( α(,,u,u))s( ψ(, ))] [ K (,,u,u) cos( α(,,u,u))cos( ψ(, ))] (,,u,u)b (, ) + (,,u,u)b (, ) M {} (,,u,u)b ( ) + (,,u,u)b (, ) M {} whee: (,,u,u) K (,,u,u)cos( α(,,u,u))cos( ψ(, ))) (,,u,u) K (,,u,u)cos( α(,,u,u))s( ψ(, ))) (,,u,u ) K (,,u,u )s( α (,,u,u )) 5 The () pa beags lfe Usg the Ludbeg-Palmgee lfe atg method appled to the (,) pa beags, the basc damc elemet capact, Q c, s defed as the ball load whch wll esult a lfe of a mllo evolutos of the acewa wth 90 pecet pobablt of suvval o a ball wth damete 5mm, basc damc ball capact ca be calculated as: 041 ( 1! γ) ( 1 ± γ) 139 f Dw 18 1/ 3 Qc A λ D 13 w N f 1 (7) dm whee: A98; λ1; The calculato of the e ad oute ace lves ae gve Eq (8), fo the case of the e ace otatg wth espect to the load The ace lves ae calculated pe Eq (9), fo the case whe the e ace s statoa wth espect to the load The combato of the ace lves to gve the beag lfe s show b Eqs (30) ad (31) If the e ace otates wth espect to load, the lves ca be calculated as: Q L ( ) Q whee: c e 4 03 Qcs Ls( ) Q (8) es 4 N 1 0 Qe( ) Z Q(, ) 1 p p ; Q N 1 pe Q(, ) 0 es( ) Z 1 pe (9) The () beag lfe tems of mllos of evolutos ca be calculated as: 1/ e L10 ( ) ( L ( ) + Ls ( )) (30) Results that the pa beags lfe mllo of evolutos s: 1/ e L10 ( L10(1) + L10( )) (31) Beag lfe tem of hou ca be calculated as: 6 L10 10 B10 (3) 60RPM 6 Numecal eamples The followg geometcal values have bee cosdeed: B1B 1 B 10 [mm]; BB o1 B o 10 [mm] LL110 [mm]; N 1 balls / beag; Dw955 [mm]; dm46 [mm]; α o 15 [deg] Ro/Dw05; R/Dw053; L50 [mm] The effect of the a paamete vesus 1 ad evoluto s elated g 6 The eteal foces ae: 10 [N], 10 [N], 00 [N], L50 [mm] To pot out the fluece of the legth toleaces o load dstbuto, the aal dsplacemet s elated g 7 as fucto of the a paamete 1,, [N] , 8000 [pm], [pm], 1000 [pm] 1, 8000 [pm] 1, [pm] 1, 1000 [pm] "a" paamete, [mm]*100 g 6 a paamete vesus aal dsplacemet Aal dsplacemet, [mm]* [N], 10[N], 00 [N], L50 [mm] "a" paamete, [mm]* [pm] [pm] 1000 [pm] g 7 Aal dsplacemet vesus a paamete fo the beag

6 THE ANNALS O UNIVERSITY DUNĂREA DE JOS O GALAŢI ASCICLE VIII, 00, ISSN The fluece of the legth toleaces o the beag lfe s elated g 8 ad 9, as fucto of the a paamete The eteal codtos ae: 5[N], 0 [N], 500 [N]; RPM5000 [pm], L100 [mm] B10, [hous] B10, [mm] B1 [mm] B30 [mm] B0 [mm] a, [mm]*1000 B10, [hous] g8 Pa beag's lfe vesus a paamete a0 110 a a B, [mm] g9 Pa beag's lfe vesus B paamete 6 Coclusos The paametes "a" ad "B" fluce the compoets of the load vecto {}, ad also the load dstbuto the "" ollg beags' aagemet - om the vewpot of the mamum atg lfe, a optmum dstace betwee the cuvatue cetes of the aces of the two beags has bee foud (g8 ad 9) - I ode to obta a mamum atg lfe fo a tadem mouted beags (g1), the paamete "a" must appoach to eo Notatos Idees, dstaces ad coodate sstems beag de ball umbe the beag e g o oute g pot cotact costat, 15 N the umbe of balls fo the beag m ball weght,[kg] K ech, K,, K e equvalet, e, ad oute, gdt factos dm ptch damete, [mm] Dw ball damete, [mm] mass cete of the (,) ball; O,e cetes of cuvatue L1,L legths of temedate pats TL 1, toleaces of the L1 ad L legths, [mm] B1, B beag wdth, [mm] B,, B o, e ad oute g wdth, [mm] R, B, C, L legths, [mm] D1, D tal dstaces betwee cuvatue cetes D 1p, D p fal dstaces betwee cuvatue cetes R o, oute ad e acewa adus, [mm] TB,o, legth toleaces of the e ad oute gs, OXYZ etal sstem OX 1Y 1Z 1 ollg elemet fame fo the (,) ball u,u dsplacemet of the mass cete,, de to descbe the aes l oe dstace betwee O e ad pots, [mm] l o dstace betwee O ad pots, [mm] L e, L e() dstace betwee O ad O e pots, [mm] Sd, Sd1() dametcal cleaace of the beag [mm] Q(,) omal load, [N] Q,o(,) omal load e ad outhe aceva m, mo, tagetal foces f, fo a aal cleaace, [mm] {} vecto de oces ad momets {}, {} foce vectos {M} momet vecto Mg goscopc momet, aal load alog OX aes;, adal loads alog OY aes, adal load alog OZ aes M, M, M, M eteal momets whch act aoud of the OY ad OZ as espectvel Lfe paamets L 10 beag lfe, m, 90% pob suvval B 10 beag lfe, hous, 90% pob suvval Q c damc capact Q e damc equvalet load of the otatg ace Q es damc equvalet load of the statoa ace RPM evolutos pe mute Geek otatos α 0, tal cotact agle α 0,, α 0p tal cotact agle affected b a paamete α,1 tal agle betwee R ad OZ as α 1 (,) fal agle betwee R ad OZ as α s (,) cotact agle obtaed fom statc equlbum α (,) e cotact agle obtaed fom the statc equlbum α e (,) oute cotact agle obtaed fom the statc equlbum α (,,u,u) oute cotact agle α e (,,u,u) e cotact agle (,,u,u) local cotact defomato at the e g level fo the (,) de (,,u,u) local cotact defomato at the oute g level fo the (,) de γ γdw/dm, dmesoless paamete µ fcto coeffcet λ Joh s coeffcet agula speed of the cage ad ball, ω c,w

7 86 THE ANNALS O UNIVERSITY DUNĂREA DE JOS O GALAŢI ASCICLE VIII, 00, ISSN REERENCES 1THas, Rollg Beag Aalss Joh Wle & Sos, New Yok, Lodo, Sde, 1966 MDGaftau, DN Olau, MC Cocea, De Veluste wege de Rebug Radal-Aal-Kugellage be hohe Dehahle, Weq, 160 (1993), MD Gaftau, Cetu, Sp, Olau D Rulmet, Poectae s tehologe, vol 1, Ed tehca, Bucuest, PK Gupta, Damcs of Rollg-Elemet Beags, Pat III: Ball Beag Aalss, Tasactos of the ASME, vol 101, Jul Rumbage, JH Poplawsk, J, V, Coelatg Computeed Rollg Beag Aalss Techques to the ISO Stadads o Load Ratg Lfe, Tbolog Tasactos, vol37 (1994), 793

VECTOR MECHANICS FOR ENGINEERS: Vector Mechanics for Engineers: Dynamics. In the current chapter, you will study the motion of systems of particles.

VECTOR MECHANICS FOR ENGINEERS: Vector Mechanics for Engineers: Dynamics. In the current chapter, you will study the motion of systems of particles. Seeth Edto CHPTER 4 VECTOR MECHNICS FOR ENINEERS: DYNMICS Fedad P. ee E. Russell Johsto, J. Systems of Patcles Lectue Notes: J. Walt Ole Texas Tech Uesty 003 The Mcaw-Hll Compaes, Ic. ll ghts eseed. Seeth

More information

VIII Dynamics of Systems of Particles

VIII Dynamics of Systems of Particles VIII Dyacs of Systes of Patcles Cete of ass: Cete of ass Lea oetu of a Syste Agula oetu of a syste Ketc & Potetal Eegy of a Syste oto of Two Iteactg Bodes: The Reduced ass Collsos: o Elastc Collsos R whee:

More information

Minimizing spherical aberrations Exploiting the existence of conjugate points in spherical lenses

Minimizing spherical aberrations Exploiting the existence of conjugate points in spherical lenses Mmzg sphecal abeatos Explotg the exstece of cojugate pots sphecal leses Let s ecall that whe usg asphecal leses, abeato fee magg occus oly fo a couple of, so called, cojugate pots ( ad the fgue below)

More information

= y and Normed Linear Spaces

= y and Normed Linear Spaces 304-50 LINER SYSTEMS Lectue 8: Solutos to = ad Nomed Lea Spaces 73 Fdg N To fd N, we eed to chaacteze all solutos to = 0 Recall that ow opeatos peseve N, so that = 0 = 0 We ca solve = 0 ecusvel backwads

More information

Professor Wei Zhu. 1. Sampling from the Normal Population

Professor Wei Zhu. 1. Sampling from the Normal Population AMS570 Pofesso We Zhu. Samplg fom the Nomal Populato *Example: We wsh to estmate the dstbuto of heghts of adult US male. It s beleved that the heght of adult US male follows a omal dstbuto N(, ) Def. Smple

More information

Kinematics. Redundancy. Task Redundancy. Operational Coordinates. Generalized Coordinates. m task. Manipulator. Operational point

Kinematics. Redundancy. Task Redundancy. Operational Coordinates. Generalized Coordinates. m task. Manipulator. Operational point Mapulato smatc Jot Revolute Jot Kematcs Base Lks: movg lk fed lk Ed-Effecto Jots: Revolute ( DOF) smatc ( DOF) Geealzed Coodates Opeatoal Coodates O : Opeatoal pot 5 costats 6 paametes { postos oetatos

More information

Objectives. Learning Outcome. 7.1 Centre of Gravity (C.G.) 7. Statics. Determine the C.G of a lamina (Experimental method)

Objectives. Learning Outcome. 7.1 Centre of Gravity (C.G.) 7. Statics. Determine the C.G of a lamina (Experimental method) Ojectves 7 Statcs 7. Cete of Gavty 7. Equlum of patcles 7.3 Equlum of g oes y Lew Sau oh Leag Outcome (a) efe cete of gavty () state the coto whch the cete of mass s the cete of gavty (c) state the coto

More information

Non-axial symmetric loading on axial symmetric. Final Report of AFEM

Non-axial symmetric loading on axial symmetric. Final Report of AFEM No-axal symmetc loadg o axal symmetc body Fal Repot of AFEM Ths poject does hamoc aalyss of o-axal symmetc loadg o axal symmetc body. Shuagxg Da, Musket Kamtokat 5//009 No-axal symmetc loadg o axal symmetc

More information

Atomic units The atomic units have been chosen such that the fundamental electron properties are all equal to one atomic unit.

Atomic units The atomic units have been chosen such that the fundamental electron properties are all equal to one atomic unit. tomc uts The atomc uts have bee chose such that the fudametal electo popetes ae all equal to oe atomc ut. m e, e, h/, a o, ad the potetal eegy the hydoge atom e /a o. D3.33564 0-30 Cm The use of atomc

More information

XII. Addition of many identical spins

XII. Addition of many identical spins XII. Addto of may detcal sps XII.. ymmetc goup ymmetc goup s the goup of all possble pemutatos of obects. I total! elemets cludg detty opeato. Each pemutato s a poduct of a ceta fte umbe of pawse taspostos.

More information

Consider two masses m 1 at x = x 1 and m 2 at x 2.

Consider two masses m 1 at x = x 1 and m 2 at x 2. Chapte 09 Syste of Patcles Cete of ass: The cete of ass of a body o a syste of bodes s the pot that oes as f all of the ass ae cocetated thee ad all exteal foces ae appled thee. Note that HRW uses co but

More information

New Vector Description of Kinetic Pressures on Shaft Bearings of a Rigid Body Nonlinear Dynamics with Coupled Rotations around No Intersecting Axes

New Vector Description of Kinetic Pressures on Shaft Bearings of a Rigid Body Nonlinear Dynamics with Coupled Rotations around No Intersecting Axes Acta Polytechca Hugaca Vol. No. 7 3 New Vecto escpto of Ketc Pessues o haft eags of a gd ody Nolea yamcs wth oupled otatos aoud No Itesectg Axes Katca. tevaovć Hedh* Ljljaa Veljovć** *Mathematcal Isttute

More information

RECAPITULATION & CONDITIONAL PROBABILITY. Number of favourable events n E Total number of elementary events n S

RECAPITULATION & CONDITIONAL PROBABILITY. Number of favourable events n E Total number of elementary events n S Fomulae Fo u Pobablty By OP Gupta [Ida Awad We, +91-9650 350 480] Impotat Tems, Deftos & Fomulae 01 Bascs Of Pobablty: Let S ad E be the sample space ad a evet a expemet espectvely Numbe of favouable evets

More information

GREEN S FUNCTION FOR HEAT CONDUCTION PROBLEMS IN A MULTI-LAYERED HOLLOW CYLINDER

GREEN S FUNCTION FOR HEAT CONDUCTION PROBLEMS IN A MULTI-LAYERED HOLLOW CYLINDER Joual of ppled Mathematcs ad Computatoal Mechacs 4, 3(3), 5- GREE S FUCTIO FOR HET CODUCTIO PROBLEMS I MULTI-LYERED HOLLOW CYLIDER Stasław Kukla, Uszula Sedlecka Isttute of Mathematcs, Czestochowa Uvesty

More information

( m is the length of columns of A ) spanned by the columns of A : . Select those columns of B that contain a pivot; say those are Bi

( m is the length of columns of A ) spanned by the columns of A : . Select those columns of B that contain a pivot; say those are Bi Assgmet /MATH 47/Wte Due: Thusday Jauay The poblems to solve ae umbeed [] to [] below Fst some explaatoy otes Fdg a bass of the colum-space of a max ad povg that the colum ak (dmeso of the colum space)

More information

Lecture 10: Condensed matter systems

Lecture 10: Condensed matter systems Lectue 0: Codesed matte systems Itoducg matte ts codesed state.! Ams: " Idstgushable patcles ad the quatum atue of matte: # Cosequeces # Revew of deal gas etopy # Femos ad Bosos " Quatum statstcs. # Occupato

More information

such that for 1 From the definition of the k-fibonacci numbers, the firsts of them are presented in Table 1. Table 1: First k-fibonacci numbers F 1

such that for 1 From the definition of the k-fibonacci numbers, the firsts of them are presented in Table 1. Table 1: First k-fibonacci numbers F 1 Scholas Joual of Egeeg ad Techology (SJET) Sch. J. Eg. Tech. 0; (C):669-67 Scholas Academc ad Scetfc Publshe (A Iteatoal Publshe fo Academc ad Scetfc Resouces) www.saspublshe.com ISSN -X (Ole) ISSN 7-9

More information

NUMERICAL SIMULATION OF TSUNAMI CURRENTS AROUND MOVING STRUCTURES

NUMERICAL SIMULATION OF TSUNAMI CURRENTS AROUND MOVING STRUCTURES NUMERICAL SIMULATION OF TSUNAMI CURRENTS AROUND MOVING STRUCTURES Ezo Nakaza 1, Tsuakyo Ibe ad Muhammad Abdu Rouf 1 The pape ams to smulate Tsuam cuets aoud movg ad fxed stuctues usg the movg-patcle semmplct

More information

Exponential Generating Functions - J. T. Butler

Exponential Generating Functions - J. T. Butler Epoetal Geeatg Fuctos - J. T. Butle Epoetal Geeatg Fuctos Geeatg fuctos fo pemutatos. Defto: a +a +a 2 2 + a + s the oday geeatg fucto fo the sequece of teges (a, a, a 2, a, ). Ep. Ge. Fuc.- J. T. Butle

More information

Lecture 11: Introduction to nonlinear optics I.

Lecture 11: Introduction to nonlinear optics I. Lectue : Itoducto to olea optcs I. Pet Kužel Fomulato of the olea optcs: olea polazato Classfcato of the olea pheomea Popagato of wea optc sgals stog quas-statc felds (descpto usg eomalzed lea paametes)!

More information

Physics 114 Exam 2 Fall Name:

Physics 114 Exam 2 Fall Name: Physcs 114 Exam Fall 015 Name: For gradg purposes (do ot wrte here): Questo 1. 1... 3. 3. Problem Aswer each of the followg questos. Pots for each questo are dcated red. Uless otherwse dcated, the amout

More information

A DATA DRIVEN PARAMETER ESTIMATION FOR THE THREE- PARAMETER WEIBULL POPULATION FROM CENSORED SAMPLES

A DATA DRIVEN PARAMETER ESTIMATION FOR THE THREE- PARAMETER WEIBULL POPULATION FROM CENSORED SAMPLES Mathematcal ad Computatoal Applcatos, Vol. 3, No., pp. 9-36 008. Assocato fo Scetfc Reseach A DATA DRIVEN PARAMETER ESTIMATION FOR THE THREE- PARAMETER WEIBULL POPULATION FROM CENSORED SAMPLES Ahmed M.

More information

Fairing of Parametric Quintic Splines

Fairing of Parametric Quintic Splines ISSN 46-69 Eglad UK Joual of Ifomato ad omputg Scece Vol No 6 pp -8 Fag of Paametc Qutc Sples Yuau Wag Shagha Isttute of Spots Shagha 48 ha School of Mathematcal Scece Fuda Uvesty Shagha 4 ha { P t )}

More information

Centroids & Moments of Inertia of Beam Sections

Centroids & Moments of Inertia of Beam Sections RCH 614 Note Set 8 S017ab Cetrods & Momets of erta of Beam Sectos Notato: b C d d d Fz h c Jo L O Q Q = ame for area = ame for a (base) wdth = desgato for chael secto = ame for cetrod = calculus smbol

More information

Estimation of Parameters of the Exponential Geometric Distribution with Presence of Outliers Generated from Uniform Distribution

Estimation of Parameters of the Exponential Geometric Distribution with Presence of Outliers Generated from Uniform Distribution ustala Joual of Basc ad ppled Sceces, 6(: 98-6, ISSN 99-878 Estmato of Paametes of the Epoetal Geometc Dstbuto wth Pesece of Outles Geeated fom Ufom Dstbuto Pavz Nas, l Shadoh ad Hassa Paza Depatmet of

More information

This may involve sweep, revolution, deformation, expansion and forming joints with other curves.

This may involve sweep, revolution, deformation, expansion and forming joints with other curves. 5--8 Shapes ae ceated by cves that a sface sch as ooftop of a ca o fselage of a acaft ca be ceated by the moto of cves space a specfed mae. Ths may volve sweep, evolto, defomato, expaso ad fomg jots wth

More information

are positive, and the pair A, B is controllable. The uncertainty in is introduced to model control failures.

are positive, and the pair A, B is controllable. The uncertainty in is introduced to model control failures. Lectue 4 8. MRAC Desg fo Affe--Cotol MIMO Systes I ths secto, we cosde MRAC desg fo a class of ult-ut-ult-outut (MIMO) olea systes, whose lat dyacs ae lealy aaetezed, the ucetates satsfy the so-called

More information

χ be any function of X and Y then

χ be any function of X and Y then We have show that whe we ae gve Y g(), the [ ] [ g() ] g() f () Y o all g ()() f d fo dscete case Ths ca be eteded to clude fuctos of ay ube of ado vaables. Fo eaple, suppose ad Y ae.v. wth jot desty fucto,

More information

Numerical Solution of Non-equilibrium Hypersonic Flows of Diatomic Gases Using the Generalized Boltzmann Equation

Numerical Solution of Non-equilibrium Hypersonic Flows of Diatomic Gases Using the Generalized Boltzmann Equation Recet Advaces Flud Mechacs, Heat & Mass asfe ad Bology Numecal Soluto of No-equlbum Hypesoc Flows of Datomc Gases Usg the Geealzed Boltzma Equato RAMESH K. AGARWAL Depatmet of Mechacal Egeeg ad Mateals

More information

On EPr Bimatrices II. ON EP BIMATRICES A1 A Hence x. is said to be EP if it satisfies the condition ABx

On EPr Bimatrices II. ON EP BIMATRICES A1 A Hence x. is said to be EP if it satisfies the condition ABx Iteatoal Joual of Mathematcs ad Statstcs Iveto (IJMSI) E-ISSN: 3 4767 P-ISSN: 3-4759 www.jms.og Volume Issue 5 May. 4 PP-44-5 O EP matces.ramesh, N.baas ssocate Pofesso of Mathematcs, ovt. ts College(utoomous),Kumbakoam.

More information

Module Title: Business Mathematics and Statistics 2

Module Title: Business Mathematics and Statistics 2 CORK INSTITUTE OF TECHNOLOGY INSTITIÚID TEICNEOLAÍOCHTA CHORCAÍ Semeste Eamatos 009/00 Module Ttle: Busess Mathematcs ad Statstcs Module Code: STAT 6003 School: School of Busess ogamme Ttle: Bachelo of

More information

PHYS Look over. examples 2, 3, 4, 6, 7, 8,9, 10 and 11. How To Make Physics Pay PHYS Look over. Examples: 1, 4, 5, 6, 7, 8, 9, 10,

PHYS Look over. examples 2, 3, 4, 6, 7, 8,9, 10 and 11. How To Make Physics Pay PHYS Look over. Examples: 1, 4, 5, 6, 7, 8, 9, 10, PHYS Look over Chapter 9 Sectos - Eamples:, 4, 5, 6, 7, 8, 9, 0, PHYS Look over Chapter 7 Sectos -8 8, 0 eamples, 3, 4, 6, 7, 8,9, 0 ad How To ake Phscs Pa We wll ow look at a wa of calculatg where the

More information

φ (x,y,z) in the direction of a is given by

φ (x,y,z) in the direction of a is given by UNIT-II VECTOR CALCULUS Dectoal devatve The devatve o a pot ucto (scala o vecto) a patcula decto s called ts dectoal devatve alo the decto. The dectoal devatve o a scala pot ucto a ve decto s the ate o

More information

The Exponentiated Lomax Distribution: Different Estimation Methods

The Exponentiated Lomax Distribution: Different Estimation Methods Ameca Joual of Appled Mathematcs ad Statstcs 4 Vol. No. 6 364-368 Avalable ole at http://pubs.scepub.com/ajams//6/ Scece ad Educato Publshg DOI:.69/ajams--6- The Expoetated Lomax Dstbuto: Dffeet Estmato

More information

The Linear Probability Density Function of Continuous Random Variables in the Real Number Field and Its Existence Proof

The Linear Probability Density Function of Continuous Random Variables in the Real Number Field and Its Existence Proof MATEC Web of Cofeeces ICIEA 06 600 (06) DOI: 0.05/mateccof/0668600 The ea Pobablty Desty Fucto of Cotuous Radom Vaables the Real Numbe Feld ad Its Estece Poof Yya Che ad Ye Collee of Softwae, Taj Uvesty,

More information

APPROXIMATE ANALYTIC WAVE FUNCTION METHOD IN ELECTRON ATOM SCATTERING CALCULATIONS. Budi Santoso

APPROXIMATE ANALYTIC WAVE FUNCTION METHOD IN ELECTRON ATOM SCATTERING CALCULATIONS. Budi Santoso APPROXIMATE ANALYTIC WAVE FUNCTION METHOD IN ELECTRON ATOM SCATTERING CALCULATIONS Bud Satoso ABSTRACT APPROXIMATE ANALYTIC WAVE FUNCTION METHOD IN ELECTRON ATOM SCATTERING CALCULATIONS. Appoxmate aalytc

More information

An Unconstrained Q - G Programming Problem and its Application

An Unconstrained Q - G Programming Problem and its Application Joual of Ifomato Egeeg ad Applcatos ISS 4-578 (pt) ISS 5-0506 (ole) Vol.5, o., 05 www.ste.og A Ucostaed Q - G Pogammg Poblem ad ts Applcato M. He Dosh D. Chag Tved.Assocate Pofesso, H L College of Commece,

More information

Functions of Random Variables

Functions of Random Variables Fuctos of Radom Varables Chapter Fve Fuctos of Radom Varables 5. Itroducto A geeral egeerg aalyss model s show Fg. 5.. The model output (respose) cotas the performaces of a system or product, such as weght,

More information

( ) 2 2. Multi-Layer Refraction Problem Rafael Espericueta, Bakersfield College, November, 2006

( ) 2 2. Multi-Layer Refraction Problem Rafael Espericueta, Bakersfield College, November, 2006 Mult-Layer Refracto Problem Rafael Espercueta, Bakersfeld College, November, 006 Lght travels at dfferet speeds through dfferet meda, but refracts at layer boudares order to traverse the least-tme path.

More information

ˆ SSE SSE q SST R SST R q R R q R R q

ˆ SSE SSE q SST R SST R q R R q R R q Bll Evas Spg 06 Sggested Aswes, Poblem Set 5 ECON 3033. a) The R meases the facto of the vaato Y eplaed by the model. I ths case, R =SSM/SST. Yo ae gve that SSM = 3.059 bt ot SST. Howeve, ote that SST=SSM+SSE

More information

HOOKE'S LAW. THE RATE OR SPRING CONSTANT k.

HOOKE'S LAW. THE RATE OR SPRING CONSTANT k. Practces Group Sesso Date Phscs Departmet Mechacs Laborator Studets who made the practce Stamp cotrol Deadle Date HOOKE'S LAW. THE RATE OR SPRING CONSTANT k. IMPORTANT: Iclude uts ad errors all measuremets

More information

Motion and Flow II. Structure from Motion. Passive Navigation and Structure from Motion. rot

Motion and Flow II. Structure from Motion. Passive Navigation and Structure from Motion. rot Moto ad Flow II Sce fom Moto Passve Navgato ad Sce fom Moto = + t, w F = zˆ t ( zˆ ( ([ ] =? hesystemmoveswth a gd moto wth aslat oal velocty t = ( U, V, W ad atoalvelocty w = ( α, β, γ. Scee pots R =

More information

Learning Bayesian belief networks

Learning Bayesian belief networks Lectue 6 Leag Bayesa belef etwoks Mlos Hauskecht mlos@cs.ptt.edu 5329 Seott Squae Admstato Mdtem: Wedesday, Mach 7, 2004 I class Closed book Mateal coveed by Spg beak, cludg ths lectue Last yea mdtem o

More information

PGE 310: Formulation and Solution in Geosystems Engineering. Dr. Balhoff. Interpolation

PGE 310: Formulation and Solution in Geosystems Engineering. Dr. Balhoff. Interpolation PGE 30: Formulato ad Soluto Geosystems Egeerg Dr. Balhoff Iterpolato Numercal Methods wth MATLAB, Recktewald, Chapter 0 ad Numercal Methods for Egeers, Chapra ad Caale, 5 th Ed., Part Fve, Chapter 8 ad

More information

Power Flow S + Buses with either or both Generator Load S G1 S G2 S G3 S D3 S D1 S D4 S D5. S Dk. Injection S G1

Power Flow S + Buses with either or both Generator Load S G1 S G2 S G3 S D3 S D1 S D4 S D5. S Dk. Injection S G1 ower Flow uses wth ether or both Geerator Load G G G D D 4 5 D4 D5 ecto G Net Comple ower ecto - D D ecto s egatve sg at load bus = _ G D mlarl Curret ecto = G _ D At each bus coservato of comple power

More information

The Mathematical Appendix

The Mathematical Appendix The Mathematcal Appedx Defto A: If ( Λ, Ω, where ( λ λ λ whch the probablty dstrbutos,,..., Defto A. uppose that ( Λ,,..., s a expermet type, the σ-algebra o λ λ λ are defed s deoted by ( (,,...,, σ Ω.

More information

DATE: 21 September, 1999 TO: Jim Russell FROM: Peter Tkacik RE: Analysis of wide ply tube winding as compared to Konva Kore CC: Larry McMillan

DATE: 21 September, 1999 TO: Jim Russell FROM: Peter Tkacik RE: Analysis of wide ply tube winding as compared to Konva Kore CC: Larry McMillan M E M O R A N D U M DATE: 1 September, 1999 TO: Jm Russell FROM: Peter Tkack RE: Aalyss of wde ply tube wdg as compared to Kova Kore CC: Larry McMlla The goal of ths report s to aalyze the spral tube wdg

More information

Third handout: On the Gini Index

Third handout: On the Gini Index Thrd hadout: O the dex Corrado, a tala statstca, proposed (, 9, 96) to measure absolute equalt va the mea dfferece whch s defed as ( / ) where refers to the total umber of dvduals socet. Assume that. The

More information

Chapter 17. Least Square Regression

Chapter 17. Least Square Regression The Islmc Uvest of Gz Fcult of Egeeg Cvl Egeeg Deptmet Numecl Alss ECIV 336 Chpte 7 Lest que Regesso Assocte Pof. Mze Abultef Cvl Egeeg Deptmet, The Islmc Uvest of Gz Pt 5 - CURVE FITTING Descbes techques

More information

General Method for Calculating Chemical Equilibrium Composition

General Method for Calculating Chemical Equilibrium Composition AE 6766/Setzma Sprg 004 Geeral Metod for Calculatg Cemcal Equlbrum Composto For gve tal codtos (e.g., for gve reactats, coose te speces to be cluded te products. As a example, for combusto of ydroge wt

More information

Statics. Consider the free body diagram of link i, which is connected to link i-1 and link i+1 by joint i and joint i-1, respectively. = r r r.

Statics. Consider the free body diagram of link i, which is connected to link i-1 and link i+1 by joint i and joint i-1, respectively. = r r r. Statcs Th cotact btw a mapulato ad ts vomt sults tactv ocs ad momts at th mapulato/vomt tac. Statcs ams at aalyzg th latoshp btw th actuato dv tous ad th sultat oc ad momt appld at th mapulato dpot wh

More information

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses Johs Hopks Uverst Departmet of Bostatstcs Math Revew for Itroductor Courses Ratoale Bostatstcs courses wll rel o some fudametal mathematcal relatoshps, fuctos ad otato. The purpose of ths Math Revew s

More information

ON THE MOTION OF PLANAR BARS SYSTEMS WITH CLEARANCES IN JOINTS

ON THE MOTION OF PLANAR BARS SYSTEMS WITH CLEARANCES IN JOINTS ON THE MOTION OF PLANAR BARS SYSTEMS WITH CLEARANCES IN JOINTS Şl uv dr g Ja-Crsta GRIGORE, Uverstatea d Pteşt, strtîrgu dvale Nr Prof uv dr g Ncolae PANDREA, Uverstatea d Pteşt, strtîrgu dvale Nr Cof

More information

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses Johs Hopks Uverst Departmet of Bostatstcs Math Revew for Itroductor Courses Ratoale Bostatstcs courses wll rel o some fudametal mathematcal relatoshps, fuctos ad otato. The purpose of ths Math Revew s

More information

MEASURES OF DISPERSION

MEASURES OF DISPERSION MEASURES OF DISPERSION Measure of Cetral Tedecy: Measures of Cetral Tedecy ad Dsperso ) Mathematcal Average: a) Arthmetc mea (A.M.) b) Geometrc mea (G.M.) c) Harmoc mea (H.M.) ) Averages of Posto: a) Meda

More information

The number of observed cases The number of parameters. ith case of the dichotomous dependent variable. the ith case of the jth parameter

The number of observed cases The number of parameters. ith case of the dichotomous dependent variable. the ith case of the jth parameter LOGISTIC REGRESSION Notato Model Logstc regresso regresses a dchotomous depedet varable o a set of depedet varables. Several methods are mplemeted for selectg the depedet varables. The followg otato s

More information

Fourth Order Four-Stage Diagonally Implicit Runge-Kutta Method for Linear Ordinary Differential Equations ABSTRACT INTRODUCTION

Fourth Order Four-Stage Diagonally Implicit Runge-Kutta Method for Linear Ordinary Differential Equations ABSTRACT INTRODUCTION Malasa Joural of Mathematcal Sceces (): 95-05 (00) Fourth Order Four-Stage Dagoall Implct Ruge-Kutta Method for Lear Ordar Dfferetal Equatos Nur Izzat Che Jawas, Fudzah Ismal, Mohamed Sulema, 3 Azm Jaafar

More information

2.28 The Wall Street Journal is probably referring to the average number of cubes used per glass measured for some population that they have chosen.

2.28 The Wall Street Journal is probably referring to the average number of cubes used per glass measured for some population that they have chosen. .5 x 54.5 a. x 7. 786 7 b. The raked observatos are: 7.4, 7.5, 7.7, 7.8, 7.9, 8.0, 8.. Sce the sample sze 7 s odd, the meda s the (+)/ 4 th raked observato, or meda 7.8 c. The cosumer would more lkely

More information

A GENERAL CLASS OF ESTIMATORS UNDER MULTI PHASE SAMPLING

A GENERAL CLASS OF ESTIMATORS UNDER MULTI PHASE SAMPLING TATITIC IN TRANITION-ew sees Octobe 9 83 TATITIC IN TRANITION-ew sees Octobe 9 Vol. No. pp. 83 9 A GENERAL CLA OF ETIMATOR UNDER MULTI PHAE AMPLING M.. Ahed & Atsu.. Dovlo ABTRACT Ths pape deves the geeal

More information

PROJECTION PROBLEM FOR REGULAR POLYGONS

PROJECTION PROBLEM FOR REGULAR POLYGONS Joural of Mathematcal Sceces: Advaces ad Applcatos Volume, Number, 008, Pages 95-50 PROJECTION PROBLEM FOR REGULAR POLYGONS College of Scece Bejg Forestry Uversty Bejg 0008 P. R. Cha e-mal: sl@bjfu.edu.c

More information

St John s College. Preliminary Examinations July 2014 Mathematics Paper 1. Examiner: G Evans Time: 3 hrs Moderator: D Grigoratos Marks: 150

St John s College. Preliminary Examinations July 2014 Mathematics Paper 1. Examiner: G Evans Time: 3 hrs Moderator: D Grigoratos Marks: 150 St Joh s College Prelmar Eamatos Jul 04 Mathematcs Paper Eamer: G Evas Tme: 3 hrs Moderator: D Grgoratos Marks: 50 PLEASE READ THE FOLLOWING INSTRUCTIONS CAREFULLY. Ths questo paper cossts of pages, cludg

More information

ABS TECHNICAL PAPERS 2008 COUPLED SEAKEEPING WITH LIQUID SLOSHING IN SHIP TANKS

ABS TECHNICAL PAPERS 2008 COUPLED SEAKEEPING WITH LIQUID SLOSHING IN SHIP TANKS A ECHNICAL PAPER 8 Poceedgs of the AME 7 th Iteatoal Cofeece o Offshoe Mechacs ad Actc Egeeg OMAE8 Jue 15-, 8, Estol, Potugal OMAE8-575 COUPLED EAKEEPIN WIH LIQUID LOHIN IN HIP ANK ook Km ad Yug. h Reseach

More information

MOLECULAR VIBRATIONS

MOLECULAR VIBRATIONS MOLECULAR VIBRATIONS Here we wsh to vestgate molecular vbratos ad draw a smlarty betwee the theory of molecular vbratos ad Hückel theory. 1. Smple Harmoc Oscllator Recall that the eergy of a oe-dmesoal

More information

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS Exam: ECON430 Statstcs Date of exam: Frday, December 8, 07 Grades are gve: Jauary 4, 08 Tme for exam: 0900 am 00 oo The problem set covers 5 pages Resources allowed:

More information

C-1: Aerodynamics of Airfoils 1 C-2: Aerodynamics of Airfoils 2 C-3: Panel Methods C-4: Thin Airfoil Theory

C-1: Aerodynamics of Airfoils 1 C-2: Aerodynamics of Airfoils 2 C-3: Panel Methods C-4: Thin Airfoil Theory ROAD MAP... AE301 Aerodyamcs I UNIT C: 2-D Arfols C-1: Aerodyamcs of Arfols 1 C-2: Aerodyamcs of Arfols 2 C-3: Pael Methods C-4: Th Arfol Theory AE301 Aerodyamcs I Ut C-3: Lst of Subects Problem Solutos?

More information

Chapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II

Chapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II CEE49b Chapter - Free Vbrato of Mult-Degree-of-Freedom Systems - II We ca obta a approxmate soluto to the fudametal atural frequecy through a approxmate formula developed usg eergy prcples by Lord Raylegh

More information

ENGI 3423 Simple Linear Regression Page 12-01

ENGI 3423 Simple Linear Regression Page 12-01 ENGI 343 mple Lear Regresso Page - mple Lear Regresso ometmes a expermet s set up where the expermeter has cotrol over the values of oe or more varables X ad measures the resultg values of aother varable

More information

COLLEGE OF ENGINEERING PUTRAJAYA CAMPUS FINAL EXAMINATION SEMESTER / 2014

COLLEGE OF ENGINEERING PUTRAJAYA CAMPUS FINAL EXAMINATION SEMESTER / 2014 OLLEGE OF ENGNEERNG PUTRAJAYA AMPUS FNAL EXAMNATON SEMESTER 013 / 014 PROGRAMME SUBJET ODE SUBJET : Bachelor of Electrcal & Electrocs Egeerg (Hoours) Bachelor of Electrcal Power Egeerg (Hoours) : EEEB73

More information

Correlation and Regression Analysis

Correlation and Regression Analysis Chapter V Correlato ad Regresso Aalss R. 5.. So far we have cosdered ol uvarate dstrbutos. Ma a tme, however, we come across problems whch volve two or more varables. Ths wll be the subject matter of the

More information

CH E 374 Computational Methods in Engineering Fall 2007

CH E 374 Computational Methods in Engineering Fall 2007 CH E 7 Computatoal Methods Egeerg Fall 007 Sample Soluto 5. The data o the varato of the rato of stagato pressure to statc pressure (r ) wth Mach umber ( M ) for the flow through a duct are as follows:

More information

CORRELATION AND REGRESSION

CORRELATION AND REGRESSION : Coelato ad Regesso CORRELATION AND REGRESSION N. Okedo Sgh Ida Agcultual Statstcs Reseach Isttute, New Delh - okedo@as.es.. Coelato Whe a bvaate dstbuto (volves two vaables) s ude cosdeato, thee s geeall

More information

Ordinary Least Squares Regression. Simple Regression. Algebra and Assumptions.

Ordinary Least Squares Regression. Simple Regression. Algebra and Assumptions. Ordary Least Squares egresso. Smple egresso. Algebra ad Assumptos. I ths part of the course we are gog to study a techque for aalysg the lear relatoshp betwee two varables Y ad X. We have pars of observatos

More information

D-Optimal Experimental Design for Calibration Deterministic Errors of DTG

D-Optimal Experimental Design for Calibration Deterministic Errors of DTG D-Optmal Epemetal Desg fo Calbato Detemstc Eos of DG L Fu, Membe, IEEE, ag, Lg Lg Wag, ad Jagha Hu Abstact hs pape pesets a ovel epemetal desg fo geatl mpovg the calbato accuac of the acceleato-sestve

More information

Minimum Hyper-Wiener Index of Molecular Graph and Some Results on Szeged Related Index

Minimum Hyper-Wiener Index of Molecular Graph and Some Results on Szeged Related Index Joual of Multdscplay Egeeg Scece ad Techology (JMEST) ISSN: 359-0040 Vol Issue, Febuay - 05 Mmum Hype-Wee Idex of Molecula Gaph ad Some Results o eged Related Idex We Gao School of Ifomato Scece ad Techology,

More information

Harmonic Curvatures in Lorentzian Space

Harmonic Curvatures in Lorentzian Space BULLETIN of the Bull Malaya Math Sc Soc Secod See 7-79 MALAYSIAN MATEMATICAL SCIENCES SOCIETY amoc Cuvatue Loetza Space NEJAT EKMEKÇI ILMI ACISALIOĞLU AND KĀZIM İLARSLAN Aaa Uvety Faculty of Scece Depatmet

More information

1 0, x? x x. 1 Root finding. 1.1 Introduction. Solve[x^2-1 0,x] {{x -1},{x 1}} Plot[x^2-1,{x,-2,2}] 3

1 0, x? x x. 1 Root finding. 1.1 Introduction. Solve[x^2-1 0,x] {{x -1},{x 1}} Plot[x^2-1,{x,-2,2}] 3 Adrew Powuk - http://www.powuk.com- Math 49 (Numercal Aalyss) Root fdg. Itroducto f ( ),?,? Solve[^-,] {{-},{}} Plot[^-,{,-,}] Cubc equato https://e.wkpeda.org/wk/cubc_fucto Quartc equato https://e.wkpeda.org/wk/quartc_fucto

More information

Phys 2310 Fri. Oct. 23, 2017 Today s Topics. Begin Chapter 6: More on Geometric Optics Reading for Next Time

Phys 2310 Fri. Oct. 23, 2017 Today s Topics. Begin Chapter 6: More on Geometric Optics Reading for Next Time Py F. Oct., 7 Today Topc Beg Capte 6: Moe o Geometc Optc eadg fo Next Tme Homewok t Week HW # Homewok t week due Mo., Oct. : Capte 4: #47, 57, 59, 6, 6, 6, 6, 67, 7 Supplemetal: Tck ee ad e Sytem Pcple

More information

2.1.1 The Art of Estimation Examples of Estimators Properties of Estimators Deriving Estimators Interval Estimators

2.1.1 The Art of Estimation Examples of Estimators Properties of Estimators Deriving Estimators Interval Estimators . ploatoy Statstcs. Itoducto to stmato.. The At of stmato.. amples of stmatos..3 Popetes of stmatos..4 Devg stmatos..5 Iteval stmatos . Itoducto to stmato Samplg - The samplg eecse ca be epeseted by a

More information

ENGI 4421 Propagation of Error Page 8-01

ENGI 4421 Propagation of Error Page 8-01 ENGI 441 Propagato of Error Page 8-01 Propagato of Error [Navd Chapter 3; ot Devore] Ay realstc measuremet procedure cotas error. Ay calculatos based o that measuremet wll therefore also cota a error.

More information

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations Dervato of -Pot Block Method Formula for Solvg Frst Order Stff Ordary Dfferetal Equatos Kharul Hamd Kharul Auar, Kharl Iskadar Othma, Zara Bb Ibrahm Abstract Dervato of pot block method formula wth costat

More information

best estimate (mean) for X uncertainty or error in the measurement (systematic, random or statistical) best

best estimate (mean) for X uncertainty or error in the measurement (systematic, random or statistical) best Error Aalyss Preamble Wheever a measuremet s made, the result followg from that measuremet s always subject to ucertaty The ucertaty ca be reduced by makg several measuremets of the same quatty or by mprovg

More information

ANSWERS, HINTS & SOLUTIONS HALF COURSE TEST VII (Main)

ANSWERS, HINTS & SOLUTIONS HALF COURSE TEST VII (Main) AIITS-HT-VII-PM-JEE(Mai)-Sol./7 I JEE Advaced 06, FIITJEE Studets bag 6 i Top 00 AIR, 7 i Top 00 AIR, 8 i Top 00 AIR. Studets fom Log Tem lassoom/ Itegated School Pogam & Studets fom All Pogams have qualified

More information

Born-Oppenheimer Approximation. Kaito Takahashi

Born-Oppenheimer Approximation. Kaito Takahashi o-oppehee ppoato Kato Takahah toc Ut Fo quatu yte uch a ecto ad olecule t eae to ue ut that ft the=tomc UNT Ue a of ecto (ot kg) Ue chage of ecto (ot coulob) Ue hba fo agula oetu (ot kg - ) Ue 4pe 0 fo

More information

Lecture 9 Multiple Class Models

Lecture 9 Multiple Class Models Lectue 9 Multple Class Models Multclass MVA Appoxmate MVA 8.4.2002 Copyght Teemu Keola 2002 1 Aval Theoem fo Multple Classes Wth jobs the system, a job class avg to ay seve sees the seve as equlbum wth

More information

Rigid Bodies: Equivalent Systems of Forces

Rigid Bodies: Equivalent Systems of Forces Engneeng Statcs, ENGR 2301 Chapte 3 Rgd Bodes: Equvalent Sstems of oces Intoducton Teatment of a bod as a sngle patcle s not alwas possble. In geneal, the se of the bod and the specfc ponts of applcaton

More information

CE 561 Lecture Notes. Optimal Timing of Investment. Set 3. Case A- C is const. cost in 1 st yr, benefits start at the end of 1 st yr

CE 561 Lecture Notes. Optimal Timing of Investment. Set 3. Case A- C is const. cost in 1 st yr, benefits start at the end of 1 st yr CE 56 Letue otes Set 3 Optmal Tmg of Ivestmet Case A- C s ost. ost st y, beefts stat at the ed of st y C b b b3 0 3 Case B- Cost. s postpoed by oe yea C b b3 0 3 (B-A C s saved st yea C C, b b 0 3 Savg

More information

14. MRAC for MIMO Systems with Unstructured Uncertainties We consider affine-in-control MIMO systems in the form, x Ax B u f x t

14. MRAC for MIMO Systems with Unstructured Uncertainties We consider affine-in-control MIMO systems in the form, x Ax B u f x t Lectue 8 14. MAC o MIMO Systes wth Ustuctued Ucetates We cosde ae--cotol MIMO systes the o, ABu t (14.1) whee s the syste state vecto, u s the cotol put, B s kow costat at, A ad (a dagoal at wth postve

More information

ON THE CONVERGENCE THEOREMS OF THE McSHANE INTEGRAL FOR RIESZ-SPACES-VALUED FUNCTIONS DEFINED ON REAL LINE

ON THE CONVERGENCE THEOREMS OF THE McSHANE INTEGRAL FOR RIESZ-SPACES-VALUED FUNCTIONS DEFINED ON REAL LINE O The Covegece Theoems... (Muslm Aso) ON THE CONVERGENCE THEOREMS OF THE McSHANE INTEGRAL FOR RIESZ-SPACES-VALUED FUNCTIONS DEFINED ON REAL LINE Muslm Aso, Yosephus D. Sumato, Nov Rustaa Dew 3 ) Mathematcs

More information

Estimation of Stress- Strength Reliability model using finite mixture of exponential distributions

Estimation of Stress- Strength Reliability model using finite mixture of exponential distributions Iteratoal Joural of Computatoal Egeerg Research Vol, 0 Issue, Estmato of Stress- Stregth Relablty model usg fte mxture of expoetal dstrbutos K.Sadhya, T.S.Umamaheswar Departmet of Mathematcs, Lal Bhadur

More information

Ideal multigrades with trigonometric coefficients

Ideal multigrades with trigonometric coefficients Ideal multgrades wth trgoometrc coeffcets Zarathustra Brady December 13, 010 1 The problem A (, k) multgrade s defed as a par of dstct sets of tegers such that (a 1,..., a ; b 1,..., b ) a j = =1 for all

More information

GCE AS/A Level MATHEMATICS GCE AS/A Level FURTHER MATHEMATICS

GCE AS/A Level MATHEMATICS GCE AS/A Level FURTHER MATHEMATICS GCE AS/A Level MATHEMATICS GCE AS/A Level FURTHER MATHEMATICS FORMULA BOOKLET Fom Septembe 07 Issued 07 Mesuto Pue Mthemtcs Sufce e of sphee = 4 Ae of cuved sufce of coe = slt heght Athmetc Sees S l d

More information

Part 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971))

Part 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971)) art 4b Asymptotc Results for MRR usg RESS Recall that the RESS statstc s a specal type of cross valdato procedure (see Alle (97)) partcular to the regresso problem ad volves fdg Y $,, the estmate at the

More information

Lecture 9: Tolerant Testing

Lecture 9: Tolerant Testing Lecture 9: Tolerat Testg Dael Kae Scrbe: Sakeerth Rao Aprl 4, 07 Abstract I ths lecture we prove a quas lear lower boud o the umber of samples eeded to do tolerat testg for L dstace. Tolerat Testg We have

More information

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines It J Cotemp Math Sceces, Vol 5, 2010, o 19, 921-929 Solvg Costraed Flow-Shop Schedulg Problems wth Three Maches P Pada ad P Rajedra Departmet of Mathematcs, School of Advaced Sceces, VIT Uversty, Vellore-632

More information

Multiple Choice Test. Chapter Adequacy of Models for Regression

Multiple Choice Test. Chapter Adequacy of Models for Regression Multple Choce Test Chapter 06.0 Adequac of Models for Regresso. For a lear regresso model to be cosdered adequate, the percetage of scaled resduals that eed to be the rage [-,] s greater tha or equal to

More information

Mu Sequences/Series Solutions National Convention 2014

Mu Sequences/Series Solutions National Convention 2014 Mu Sequeces/Seres Solutos Natoal Coveto 04 C 6 E A 6C A 6 B B 7 A D 7 D C 7 A B 8 A B 8 A C 8 E 4 B 9 B 4 E 9 B 4 C 9 E C 0 A A 0 D B 0 C C Usg basc propertes of arthmetc sequeces, we fd a ad bm m We eed

More information

THE ROYAL STATISTICAL SOCIETY GRADUATE DIPLOMA

THE ROYAL STATISTICAL SOCIETY GRADUATE DIPLOMA THE ROYAL STATISTICAL SOCIETY 3 EXAMINATIONS SOLUTIONS GRADUATE DIPLOMA PAPER I STATISTICAL THEORY & METHODS The Socety provdes these solutos to assst caddates preparg for the examatos future years ad

More information

Council for Innovative Research

Council for Innovative Research Geometc-athmetc Idex ad Zageb Idces of Ceta Specal Molecula Gaphs efe X, e Gao School of Tousm ad Geogaphc Sceces, Yua Nomal Uesty Kumg 650500, Cha School of Ifomato Scece ad Techology, Yua Nomal Uesty

More information

The Deformation of Cylindrical Shells Subjected to Radial Loads Using Mixed Formulation and Analytic Solutions

The Deformation of Cylindrical Shells Subjected to Radial Loads Using Mixed Formulation and Analytic Solutions Uvesal Joual of Mechacal Egeeg (4): 8-3, 03 DOI: 0.389/ujme.03.00404 http://www.hpub.og The Defomato of Cyldcal Shells Subjected to Radal Loads Usg Mxed Fomulato ad Aalytc Solutos Lusa R. Maduea,*, Elza

More information

Describes techniques to fit curves (curve fitting) to discrete data to obtain intermediate estimates.

Describes techniques to fit curves (curve fitting) to discrete data to obtain intermediate estimates. CURVE FITTING Descbes techques to ft cuves (cuve fttg) to dscete dt to obt temedte estmtes. Thee e two geel ppoches fo cuve fttg: Regesso: Dt ehbt sgfct degee of sctte. The stteg s to deve sgle cuve tht

More information