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Genetic algorithm based optimisation of conveyor belt material cross section area (CROSBI ID 165073)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Vrcan, Željko ; Lovrin, Neven Genetic algorithm based optimisation of conveyor belt material cross section area // Tehnički vjesnik : znanstveno-stručni časopis tehničkih fakulteta Sveučilišta u Osijeku, 17 (2010), 2; 137-143

Podaci o odgovornosti

Vrcan, Željko ; Lovrin, Neven

engleski

Genetic algorithm based optimisation of conveyor belt material cross section area

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.

belt conveyor; conveyor belt; genetic algorithm; load capacity; optimisation

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Podaci o izdanju

17 (2)

2010.

137-143

objavljeno

1330-3651

Povezanost rada

Strojarstvo

Indeksiranost