Pregled bibliografske jedinice broj: 1200894
Application of artificial neural networks for estimation of the mass of the waste powder during selective laser sintering
Application of artificial neural networks for estimation of the mass of the waste powder during selective laser sintering // Proceedings of 8th International Conference “Mechanics and Materials in Design – M2D 2019”
Bologna, Italija, 2019. str. 29-30 (predavanje, podatak o recenziji nije dostupan, prošireni sažetak, znanstveni)
CROSBI ID: 1200894 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Application of artificial neural networks for
estimation of the mass of the waste powder during
selective laser sintering
Autori
Šoškić, Zlatan ; Tomić, Jelena ; Drvar, Nenad ; Monti, Michele ; Cardu, Marco
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni
Izvornik
Proceedings of 8th International Conference “Mechanics and Materials in Design – M2D 2019”
/ - , 2019, 29-30
Skup
Mechanics and Materials in Design – M2D 2019
Mjesto i datum
Bologna, Italija, 04.09.2019. - 06.09.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Podatak o recenziji nije dostupan
Ključne riječi
additive manufacturing ; selective laser sintering ; manufacturing costs
Sažetak
The paper presents results of the efforts to improve the accuracy of cost calculation of the selective laser sintering technology using an artificial neural network as a tool for estimation of the mass of the waste powder, based on the masses of the powder that will be, and the powder that will not be, built into products during a production process.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
