On rheological properties of environmentally friendly inorganic systems and their modeling by artificial neural networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F23%3A10252425" target="_blank" >RIV/61989100:27350/23:10252425 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27360/23:10252425

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S2238785422019032" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2238785422019032</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jmrt.2022.12.014" target="_blank" >10.1016/j.jmrt.2022.12.014</a>

Jazyk výsledku

angličtina

Název v původním jazyce

On rheological properties of environmentally friendly inorganic systems and their modeling by artificial neural networks

Popis výsledku v původním jazyce

This work aims to investigate the rheological properties, namely dependence of dynamic viscosity on temperature, chemical composition, and shear rate, of environmentally friendly inorganic systems using a high-temperature rotational viscometer up to 1550 oC. The liquidus and start and end softening temperatures of these systems were also studied. The environmentally hazardous calcium fluoride in the amount of up to 6 wt% was substituted by other components (B2O3, TiO2, and Na2O) to preserve the original utility properties of the investigated systems (low liquidus temperatures and viscosities). The effect of alternative additives ranging from 2 to 6 wt% on the required properties was more beneficial than that of fluoride. The most significant reduction in liquidus temperature of up to 185 oC was achieved by adding 6 wt% B2O3 while maintaining a low viscosity value. The addition of CaF2 (up to 6 wt%) had the least effect, lowering the liquidus temperature by only 22 oC as compared to the original system. In the case of TiO2 addition, the dependence of viscosity on chemical composition was non-linear and complex to predict with existing models. Therefore, it was modeled using artificial neural networks. The predicted viscosity values for a given temperature and chemical composition were in good agreement with the experimentally obtained values, as the maximum relative error between the measured and calculated viscosity values was less than 5%. The characterization of the internal structure of the investigated systems was performed by Energy Dispersive X-Ray (EDX), X-Ray Diffraction (XRD) analyses and Scanning Electron Microscopy (SEM). (C) 2022 The Author(s).

Název v anglickém jazyce

On rheological properties of environmentally friendly inorganic systems and their modeling by artificial neural networks

Popis výsledku anglicky

This work aims to investigate the rheological properties, namely dependence of dynamic viscosity on temperature, chemical composition, and shear rate, of environmentally friendly inorganic systems using a high-temperature rotational viscometer up to 1550 oC. The liquidus and start and end softening temperatures of these systems were also studied. The environmentally hazardous calcium fluoride in the amount of up to 6 wt% was substituted by other components (B2O3, TiO2, and Na2O) to preserve the original utility properties of the investigated systems (low liquidus temperatures and viscosities). The effect of alternative additives ranging from 2 to 6 wt% on the required properties was more beneficial than that of fluoride. The most significant reduction in liquidus temperature of up to 185 oC was achieved by adding 6 wt% B2O3 while maintaining a low viscosity value. The addition of CaF2 (up to 6 wt%) had the least effect, lowering the liquidus temperature by only 22 oC as compared to the original system. In the case of TiO2 addition, the dependence of viscosity on chemical composition was non-linear and complex to predict with existing models. Therefore, it was modeled using artificial neural networks. The predicted viscosity values for a given temperature and chemical composition were in good agreement with the experimentally obtained values, as the maximum relative error between the measured and calculated viscosity values was less than 5%. The characterization of the internal structure of the investigated systems was performed by Energy Dispersive X-Ray (EDX), X-Ray Diffraction (XRD) analyses and Scanning Electron Microscopy (SEM). (C) 2022 The Author(s).

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10403 - Physical chemistry

Projekt

<a href="/cs/project/EF17_049%2F0008399" target="_blank" >EF17_049/0008399: Rozvoj mezisektorové spolupráce RMTVC s aplikační sférou v oblasti výzkumu progresivních a inovací klasických kovových materiálů a technologií s využitím metod modelování</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Materials Research and Technology

ISSN

2238-7854

e-ISSN

—

Svazek periodika

22

Číslo periodika v rámci svazku

JAN-FEB

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

13

Strana od-do

1410-1422

Kód UT WoS článku

000976622800001

EID výsledku v databázi Scopus

2-s2.0-85147669425