Genetic algorithm based optimisation of conveyor belt material cross section area (CROSBI ID 165073)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
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