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Critical Cooling Rate Prediction by the Reduced Glass Temperature and Fragility Index
Author(s) -
Gao Qian,
Jian Zengyun
Publication year - 2019
Publication title -
physica status solidi (b)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.51
H-Index - 109
eISSN - 1521-3951
pISSN - 0370-1972
DOI - 10.1002/pssb.201900012
Subject(s) - fragility , thermodynamics , linear regression , glass transition , binary number , index (typography) , regression analysis , materials science , mathematics , statistics , physics , composite material , computer science , arithmetic , world wide web , polymer
The reduced glass transition temperature ( T rg ) and fragility index ( m ) are both used to predict the critical cooling rate ( R c ). When either T rg or m is individually used to predict log 10 ( R c ), a large deviation occurrs in the prediction of log 10 ( R c ) because both of the corresponding correlations have low coefficients of determination ( R 2 ). The R 2 value increases from either 0.33 (by using only T rg ) or 0.68 (by using only m ) to 0.91 by using both T rg and m . Therefore, the glass‐forming ability (GFA) is estimated more accurately when T rg and m are both applied to predict log 10 ( R c ) through a binary linear regression analysis.