Pregled bibliografske jedinice broj: 394947
The prediction of the microstructure constituents of spheroidal graphite cast iron by using thermal analysis and artificial neural networks
The prediction of the microstructure constituents of spheroidal graphite cast iron by using thermal analysis and artificial neural networks // Archives of metallurgy and materials, 55 (2010), 1; 247-253 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 394947 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
The prediction of the microstructure constituents
of spheroidal graphite cast iron by using thermal
analysis and artificial neural networks
Autori
Glavaš, Zoran ; Unkić, Faruk ; Lisjak, Dragutin
Izvornik
Archives of metallurgy and materials (1733-3490) 55
(2010), 1;
247-253
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
spheroidal graphite cast iron ; microstructure constituents ; thermal analysis ; artificial neural networks
Sažetak
This paper presents the application of artificial neural networks in the production process of spheroidal graphite cast iron. Backpropagation neural networks have been established to predict the microstructure constituents (ferrite content, pearlite content, nodule count and nodularity) of spheroidal graphite cast iron using the thermal analysis parameters as inputs. Generalization properties of the developed artificial neural networks are very good, which is confirmed by a very good accordance between the predicted and the targeted values of the microstructure constituents on a new data set that was not included in the training data set.
Izvorni jezik
Engleski
Znanstvena područja
Metalurgija
POVEZANOST RADA
Projekti:
MZOS-124-0000000-1503 - Skrućivanje metalnih odljevaka (Unkić, Faruk, MZOS ) ( CroRIS)
MZOS-120-1201780-1779 - Modeliranje svojstava materijala i parametara procesa (Filetin, Tomislav, MZOS ) ( CroRIS)
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb,
Metalurški fakultet, Sisak
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
