Predviđanje termičkih i mehaničkih svojstava kompozita na bazi akrilata korišćenjem modela veštačke neuronske mreže Naučni rad

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Objavljeno: 2023-12-13
DOI: https://doi.org/10.2298/HEMIND230119029M
Ključne reči:
kompozitni materijali, toplotna provodljivost, Al2O3 čestice

Glavni sadržaj članka

Vanja Mališić
Univerzitet u Beogradu, Tehnološko -metalurški fakultet, Beograd, Srbija
https://orcid.org/0009-0008-0671-1539
Milada Pezo
Univerzitet u Beogradu, Institut za nuklearne nauke Vinča, Institut od nacionalnog značaja za Republiku Srbiju, Beograd, Srbija
https://orcid.org/0000-0003-3285-0520
Aleksandra Jelić
The Academy of Applied Technical Studies Belgrade
https://orcid.org/0000-0001-7151-6782
Aleksandra Patarić
Univerzitet u Beogradu ,Institut za hemiju, tehnologiju i metalurgiju, Institut od nacionalnog značaja za republiku Srbiju, Beograd, Srbija
https://orcid.org/0000-0002-2734-0262
Slaviša Putić
Univerzitet u Beogradu, Tehnološko -metalurški fakultet, Beograd, Srbija
https://orcid.org/0000-0001-8323-6251

Apstrakt

Poli (metil metakrilata) (PMMA) ima široku upotrebu, posebno u stomatologiji i medicini. Kompoziti su napravljeni od PMMA modifikovanog dimetil itakonatom (DMI) kao matrice. Kao pojačanje korišćene su čestice glinice (Al2O3) i glinice dopirane oksidom gvožđa (Al2O3-Fe) modifikovanim sa 3-aminopropil-trimetoksilanom (AM) i metil estrima masnih kiselina lanenog ulja (biodizel – BD). Prema merenjima toplotne provodljivosti, najveće vrednosti toplotne provodljivosti imao je kompozit sa česticama glinice 5 wt.% Al2O3-Fe-AM. Dodatkom modifikovanih čestica glinice u PMMA/DMI matricu, poboljšane su mehaničke osobine (zatezna čvrstoća, deformacija i modul elastičnosti). Razvijen je model veštačke neuronske mreže zasnovan na iterativnom algoritmu predloženom u literaturi (Broiden-Fletcher-Goldfarb-Shanno), za predviđanje toplotne provodljivosti i mehaničkih svojstava kompozita na bazi akrilata u kombinaciji sa česticama na bazi glinice, u zavisnosti od masenog udela čestica, i dodatka oksida gvožđa i modifikatora. Pokazano je da ovi matematički modeli mogu predvideti mehanička i termička svojstva kompozitnih materijala. Ovo je posebno relevantno za predviđanje toplotne provodljivosti materijala koji se koriste u stomatologiji za izradu proteza i koji su izloženi temperaturnim promenama tokom primene

Detalji članka

Broj časopisa

God. 77 Br. 4 (2023)

Rubrika

Primena i tehnologija materijala
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Kako citirati

[1]
V. Mališić, M. Pezo, A. Jelić, A. Patarić, and S. Putić, “Predviđanje termičkih i mehaničkih svojstava kompozita na bazi akrilata korišćenjem modela veštačke neuronske mreže: Naučni rad”, Hem Ind, vol. 77, no. 4, pp. 293–302, Dec. 2023, doi: 10.2298/HEMIND230119029M.
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