Use of Genetic Algorithm to Determine the Kinetic Model of Solid‐State Reactions

Abstract

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.

Application of genetic algorithm for baseline optimization in standard addition voltammetry

“…The genetic algorithms have found broad application in chemistry as a process optimization tool [18,19], in interpretation of chemical kinetics in gas [20], solid phase [21][22][23][24] and also in chemometrics [25]. Mostly, GAs are applied to select variables for a partial least squares modeling (PLSs) in many analytical methods like infrared spectroscopy [26][27][28][29][30], voltammetry [31][32][33], spectrophotometry [34] and for a bilinear least squares model in chromatography [35].…”

Application of Non‐Arrhenius Method for Analyzing the Decomposition Kinetics of SrCO3 and BaCO3

“…Maitra et al 6 further used genetic algorithm to determine the kinetic model of magnesite and limestone from DTA data. It was observed that both the reactions mostly followed the Avrami‐Erofeev kinetics model.…”