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Logistic mixture model versus Arrhenius for kinetic study of material degradation by dynamic thermogravimetric analysis
Author(s) -
Naya Salvador,
Cao Ricardo,
de Ullibarri Ignacio López,
Artiaga Ramón,
Barbadillo Fernando,
García Ana
Publication year - 2006
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.1023
Subject(s) - thermogravimetric analysis , arrhenius equation , thermodynamics , logistic regression , chemistry , computer science , mathematics , statistics , materials science , physics , activation energy , organic chemistry
In this work, an alternative method to the Arrhenius equation for thermogravimetric analysis (TGA) is presented. It is based in performing a logistic regression of the raw TGA data. This model assumes that more than one physical process may be involved in each mass loss step and that each physical process may extend along all the experiment. The logistic mixture obtained explains the complete TGA trace, including as many mass loss steps as the experiment has. The typical asymptotic tendency of the mass loss steps is perfectly reproduced by the model. A discussion of the model from the statistical point of view is presented as well as a comparison with other classical models. Copyright © 2007 John Wiley & Sons, Ltd.