Pregled bibliografske jedinice broj: 397303
The Application of an Artificial Neural Network for Determining the Influence of the Parameters for the Deposition of a Zinc Coating on Steel Tubes
The Application of an Artificial Neural Network for Determining the Influence of the Parameters for the Deposition of a Zinc Coating on Steel Tubes // Materiali in tehnologije, 43 (2009), 4; 201-205 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 397303 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
The Application of an Artificial Neural Network for Determining the Influence of the Parameters for the Deposition of a Zinc Coating on Steel Tubes
Autori
Rešković, Stoja ; Glavaš, Zoran
Izvornik
Materiali in tehnologije (1580-2949) 43
(2009), 4;
201-205
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
zinc-coating deposition ; temperature ; coating thickness ; artificial neural networks
Sažetak
The influence of deposition temperature and time on the thickness of a zinc coating on tubes with different dimensions was investigated. Backpropagation neural networks (BPNNs) were established to predict the zinc-coating thickness on the tubes using the temperature of the zinc melt, the deposition time and the tube diameter as the inputs. A BPNN was used to determine the optimal temperature range for zinc deposition on tubes with a diameter of 48.3 mm and determine the influence of the deposition time on the zinc-coating thinckness.
Izvorni jezik
Engleski
Znanstvena područja
Metalurgija
POVEZANOST RADA
Projekti:
124-0000000-1503 - Skrućivanje metalnih odljevaka (Unkić, Faruk, MZOS ) ( CroRIS)
124-1241565-1559 - Energetska učinkovitost i kvaliteta proizvoda u plastičnoj deformaciji metala (Lazić, Ladislav, MZOS ) ( CroRIS)
Ustanove:
Metalurški fakultet, Sisak
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
Uključenost u ostale bibliografske baze podataka::
- DOAJ, SCIRUS, METADEX
