Pregled bibliografske jedinice broj: 714556
Predicting the abrasion resistance of tool steels by means of neurofuzzy model
Predicting the abrasion resistance of tool steels by means of neurofuzzy model // Interdisciplinary description of complex systems, 11 (2013), 3; 334-344 doi:10.7906/indecs.11.3.8 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 714556 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Predicting the abrasion resistance of tool steels by means of neurofuzzy model
Autori
Lisjak, Dragutin ; Filetin, Tomislav
Izvornik
Interdisciplinary description of complex systems (1334-4684) 11
(2013), 3;
334-344
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
abrasion resistance ; tool steels ; modelling ; neurofuzzy
Sažetak
This work considers use neurofuzzy set theory for estimate abrasion wear resistance of steels based on chemical composition, heat treatment (austenitising temperature, quenchant and tempering temperature), hardness after hardening and different tempering temperature and volume loss of materials according to ASTM G 65-94. Testing of volume loss for the following group of materials as fuzzy data set was taken: carbon tool steels, cold work tool steels, hot work tools steels, high-speed steels. Modelled adaptive neuro fuzzy inference system (ANFIS) is compared to statistical model of multivariable non-linear regression (MNLR). From the results it could be concluded that it is possible well estimate abrasion wear resistance for steel whose volume loss is unknown and thus eliminate unnecessary testing.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo, Temeljne tehničke znanosti
POVEZANOST RADA
Projekti:
120-1201780-1779 - Modeliranje svojstava materijala i parametara procesa (Filetin, Tomislav, MZOS ) ( CroRIS)
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- EconLit
