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Use of Genetic Algorithm to Determine the Kinetic Model of Solid‐State Reactions
Author(s) -
Maitra S.,
Pal A. J.,
Bandyopadhyay N.,
Das S.,
Pal Jayita
Publication year - 2007
Publication title -
journal of the american ceramic society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.9
H-Index - 196
eISSN - 1551-2916
pISSN - 0002-7820
DOI - 10.1111/j.1551-2916.2007.01553.x
Subject(s) - solid state , decomposition , kinetic energy , thermodynamics , kinetics , biological system , magnesite , genetic algorithm , reaction rate , materials science , process (computing) , chemical kinetics , algorithm , computer science , mathematics , mineralogy , mathematical optimization , chemistry , metallurgy , physics , organic chemistry , quantum mechanics , magnesium , biology , operating system , catalysis , biochemistry
Solid‐state reactions take place by different rate‐controlling heterogeneous processes. To find the appropriate kinetic model for a particular solid‐state reaction, a genetic algorithm‐based simulation technique was carried out using DTA data with a fitness function, and a computer program was developed for the same. The process was applied to the decomposition reactions of limestone and magnesite samples. It was observed that both the decomposition reactions mostly followed the Avrami–Erofeev kinetics model.