A Review of Dynamic Models Used in Simulation of Gear Transmissions

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ANALELE UNIVERSITĂłII ETIMIE MURGU REŞIłA ANUL XXI NR. ISSN 5-797 Zol-Ios Ko Io-ol Mulu A Rvw o ls Us Sulo o G Tsssos Th vsgo o lv s lu gg g olg l us o sov sg u o pps g svl s oug o h ps.

1 ANALELE UNIVERSITĂłII ETIMIE MURGU REŞIłA ANUL XXI NR. ISSN Zol-Ios Ko Io-ol Mulu A Rvw o ls Us Sulo o G Tsssos Th vsgo o lv s lu gg g olg l us o sov sg u o pps g svl s oug o h ps. Th pupos o h ols ws u vs u ll olg os sh h gol o plg h oplx phss o pow ssso hough g o. Ths pp vsgs h lv sps gg h olg o g sssos sg wh h spls ol O h vlopg o ol wh h gs o o O shg wh sx gs o o ol 6O. Kwos: ol sulo g ssso. Iouo Bus h gs l opos o og h h hv v osl ou o o gg h olg g pulsh sg u o pps og hs pol [] []. Th ojvs o olg o g sssos v ps v s o vo oollg os lss o h su o ssso o sl lss [] []. Th l sops o olg o gs oul su s ollows: - Alss o o g sss; - Ruo o supl w s o xpl pg; - Su o ssso ; - Su o os o; - Ilu o oh ps o h ssso pull gs; - Nul us o h ss; - Sus gg h vo oo o h ss; - Sus o ll l l. 65

2 . l wh O g o o O gu show pl ol wh o g o o O us o h sh vsgo o g p ss. Th g ssso s ol s p o ss o log h sh l spg p. Th ol s o ou lus o h s ssso o whh s sul spl xo h sh. Ths sssos o ss o svl sous suh s ooh lo u lo o-uo ooh spg ooh pol os us hg os s wll s pg sug o h ls. Th sh sss s xpss s -vg uo. Th g p s ssu o op u hgh ou oo wh o lsh. Es o o os h shg gl o h ss h pul h o o o s low ppox. 6% og o [5]. uho h vsous pg o o h g sh s ssu o os. gu. O ol o g p ss Th l uos o oo o hs ss xpss h o: [ ] [ ] M [ ] [ ] M oo gl gul vlo gul wh 66

3 lo o h pu po h oupu whl spvl. h ss os o o h gs. M M o h xl ous lo ppl o h ss. ps h s o h gs. B oug h opos oo uos. l sgl l uo h ollowg o: wh: M M o sp g-p h sh sss ppoxl ps u ou ss: K os γ 6 wh s h g shg gul u K s h u o s o h ss. Gll h opos o h shg o o l o h g ooh osull h wll pou xo ovs pol o h oo sp o h whl p v h spv ooh s o. Tho h xo uo ps ou ss wh h s u ospog o h oo sp o h whl. I s os h h os lo ol h o h po w s: I os 7 wh s h gul sp oo u o h po. Wh s ssu h: os os h ssso o o h g p s ul o h s oo o h h u h os lo o. Tho: 8 So h E. os:. 9 Bs o h ov h vo o g p w s l uo o h o:

4 68 wh: ] [. Tg o ou ou o os h ou ss o h sh sss E. 6 w s: s ŝ os ĉ os γ wh. I h xo uo s xpss s s wo s o h ou ss w hv: os. Susug h xpssos uo w o: { [ ] [ ] [ ] [ ]} { [ ] [ ] [ ] [ ]} s ŝ os ĉ s ŝ os ĉ s ŝ os ĉ s ŝ os ĉ s s Bs o h ll o o h uos spv usg h ho l ho h soluo o h l uo ppox h xpsso: [ ] s os s os s os s os s os s os. 5. l wh Th gs o o O Wh h sss spv h ls o h shs h gs o gl ol wh gs o o hs o os.

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8 . l wh Sx gs o o 6O Wh h lu o h vg spv v h o gl hs o hoosg hl ol wh sx gs o o. Suh ol s show gu. Sols: - o o ; φ- oo gl; M - ou o; - pg os o og sh; - ls os o og sh; - ss - h u; - s us; - pg os o h g; - ls os o h g; - spl xo; - g sh sss; - pg o o h g sh. gu. ol wh sx gs o o 6O Glg hos ps h hps o hs pp s wll s o h hol osos o h o p vo olu h h uo o oo o ss whh lus g ssso w ollowg o: M [ ] { } [ ] { } [ ] { } { } wh: [M]- Mx o sss; []- Mx o pg s; []- Mx o sss; - vo o pls; -vo o o. o h 6 O ol h ls o E. w og o [5] s ollows: 7

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10 5. olusos Mhl ols p o lu h ssl ps o ul pho sss o uos o sss o l uos o o p h voluo o h osv ss. Th s ppl oulg s ol olg s o u oplx g o h uh sl usl hough spl. Th ps pp ps lv sps gg h olg o g sssos. Sg wh h spls ol O vlopg osg os s g sh vg v h ul h hl ol wh sx gs o o 6 O ws h. Aowlg Th wo hs u h Sol Opol Pog Hu Rsous vlop 7- o h Ms o Euop us hough h l Ag POSRU/59/.5/S/95. Rs [] Buh S. Zsh S. Aho A. A. ol o o spu g ss Pog o 5 h IASTE Iol o o ool Applos A pp [] hl.e. Tg. S H. G ul olg vo spos lss ASME 5h Aul Sss ool o lo. [] Gllh G.R. Mh s- llg o hl sss ISBN Eu AGIR Buuş. [] Ko Z. A ovvw o hl ols us g s Ro oul o Aouss Vo vol. IV No. pp [5] Ko Z. Rsh o vo uo opo o ll goxs Ph.. Thss E Mugu Uvs RşŃ 9. Asss: L. Ph. Eg. Zol Ios Ko E Mugu Uvs o Rs P T Vu Rs.o@u.o Ph. Eg. Io-ol Mulu E Mugu Uvs o Rs P T Vu Rs u@hoo.o 7

Bayesian Estimation of the parameters of the Weibull-Weibull Length-Biased mixture distributions using time censored data

Bayesian Estimation of the parameters of the Weibull-Weibull Length-Biased mixture distributions using time censored data Bys Eso of h s of h Wull-Wull gh-bs xu suos usg so S. A. Sh N Bouss I.S.S. Co Uvsy I.N.P.S. Algs Uvsy shsh@yhoo.o ou005@yhoo.o As I hs h s of h Wull-Wull lgh s xu suos s usg h Gs slg hqu u y I sog sh.