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

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

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 °C. The liquidus and start and end softening...

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Bibliographic Details
Main Authors: Lenka Řeháčková, Vlastimil Novák, Silvie Rosypalová, Milan Heger, Ondřej Zimný, Dalibor Matýsek, Sára Leinweberová, Dalibor Novák
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Journal of Materials Research and Technology
Subjects:
Viscosity
Oxide system
Liquidus temperature
Softening temperature
Calcium fluoride
Artificial neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785422019032

Internet

http://www.sciencedirect.com/science/article/pii/S2238785422019032

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