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Pregled bibliografske jedinice broj: 477305

Časopis

Autori: Vrcan, Željko; Lovrin, Neven
Naslov: Genetic algorithm based optimisation of conveyor belt material cross section area
Izvornik: Tehnički vjesnik : znanstveno-stručni časopis tehničkih fakulteta Sveučilišta u Osijeku (1330-3651) 17 (2010), 2; 137-143
Vrsta rada: članak
Ključne riječi: belt conveyor; conveyor belt; genetic algorithm; load capacity; optimisation
Sažetak:
Belt conveyors are used to transport large quantities of bulk material quickly and economically over short to medium distances, e.g. for transfer from the extraction point to a processing station or shipment point. The load capacity of a belt conveyor depends on several factors, such as the trough cross section of the conveyor belt, belt speed, material density and material angle of surcharge. The load capacity of belt conveyors is mostly determined by the trough cross section, so cross sections of commercially available troughs have been compared to cross sections of matching roller layout, but optimised via a genetic algorithm. A comparison has also been made with deep semi-circular troughs, due to a significant increase in material cross section when compared to flat, v-shaped, trapezoidal and polygonal troughs.
Izvorni jezik: ENG
Rad je citiran u
bazama podataka:
Web of Science: Science Citation Index Expanded
Scopus
Web of Science: Science Citation
Kategorija: Znanstveni
Znanstvena područja:
Strojarstvo
URL cjelovitog teksta:
Časopis izlazi u samo elektroničkom izdanju: NE
Google Scholar: Genetic algorithm based optimisation of conveyor belt material cross section area
Upisao u CROSBI: zvrcan@riteh.hr (zvrcan@riteh.hr), 19. Srp. 2010. u 10:17 sati



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