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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Viscosity and liquidus-based predictor of glass-forming ability of oxide glasses

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Jiusti, Jeanini [1] ; Zanotto, Edgar D. [1] ; Cassar, Daniel R. [1] ; Andreeta, Marcello R. B. [1]
Total Authors: 4
[1] Fed Univ Sao Carlos UFSCar, Ctr Res Technol & Educ Vitreous Mat CeRTEV, Grad Program Mat Sci & Engn, Sao Carlos, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: Journal of the American Ceramic Society; SEP 2019.
Web of Science Citations: 1

Glass-forming ability (GFA) is a measure of the easiness to vitrify a given substance. Theoretically, it is possible to make a glass from any liquid provided it is quenched from its liquidus temperature with a cooling rate above a critical value R-c to avoid crystallization. However, measuring GFA is a laborious and time-consuming task. Moreover, predicting the GFA of substances that have never been vitrified is of greater interest. Here, we propose and evaluate a new parameter that can predict the glass forming ability of oxide mixtures. We derived a mother parameter, GFA = 1/R-c proportional to {[}U(T-max) x T-L](-1), where U(T-max) is the maximum crystal growth rate, and T-L is the liquidus temperature, which strongly correlates with the experimental critical cooling rates of oxide glass-formers. A simplified version derived from the mother parameter-which does not need (scarce) crystal growth rate data and only relies on viscosity eta and T-L, GFA proportional to {[}eta(T-L)/TL2]-also correlates well with the R-c of several oxide compositions. This new GFA parameter, dubbed Jezica, works when heterogeneous nucleation prevails. It corroborates the widespread concept that substances having high viscosity at T-L, and a low T-L can be easily vitrified, and provides a powerful tool for the quest and design of novel glasses. (AU)

FAPESP's process: 17/12491-0 - Kinetic processes in glass and formulation of new glasses using machine learning
Grantee:Daniel Roberto Cassar
Support type: Scholarships in Brazil - Post-Doctorate
FAPESP's process: 13/07793-6 - CEPIV - Center for Teaching, Research and Innovation in Glass
Grantee:Edgar Dutra Zanotto
Support type: Research Grants - Research, Innovation and Dissemination Centers - RIDC