Pregled bibliografske jedinice broj: 1053609
Selection of the Optimal Two-Speed Planetary Gear Train for Fishing Boat Propulsion
Selection of the Optimal Two-Speed Planetary Gear Train for Fishing Boat Propulsion // FME Transactions, 48 (2020), 2; 397-403 doi:10.5937/fme2002397T (međunarodna recenzija, članak, znanstveni)
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Naslov
Selection of the Optimal Two-Speed Planetary Gear
Train for Fishing Boat Propulsion
(Selection of the Optimal Two-SpeedPlanetary Gear
Train for Fishing Boat Propulsion)
Autori
Troha, Sanjin ; Stefanović-Marinović, Jelena ; Vrcan, Željko ; Milovančević, Miloš
Izvornik
FME Transactions (1451-2092) 48
(2020), 2;
397-403
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
planetary gear trains, two speed, structure, parameters, fishing boat propulsion, reduction and reversing gearbox
Sažetak
Planetary gear trains (PGTs) offer numerous benefits when compared to conventional gear trains, e. g. multi-carrier planetary gear trains may be built by linking the shafts of different component planetary gear trains. A two-carrier two-speed PGT consisting of two coupling shafts and four external shafts is a special type of multi-carrier PGT. This type of compound gear train has many important characteristics, the most notable being the possibility to change the transmission ratio under load. This paper presents a method for quick determination of the structure and important basic parameters of two-speed planetary gear trains that meet the predefined transmission requirements. A computer program developed for the examination of two-speed planetary gear trains DVOBRZ is used for this purpose. A numerical example of the procedure is provided, dealing with the application of a two-speed PGT as a fishing boat reduction and reversing gearbox.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo, Temeljne tehničke znanosti
POVEZANOST RADA
Ustanove:
Tehnički fakultet, Rijeka
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus
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- ProQuest
- URLICHSWEB
- Google scholar