Estimation and optimization of Kinetic Parameters for thermal decomposition of MDF by genetic algorithm
کد مقاله : 1264-PHYSCHEM20
نویسندگان:
محمد حسین احمدی ازغندی *
چکیده مقاله:
In this study, the Genetic algorithm method, as evolution strategy, through simultaneous thermogravimetric analysis experiments was used for modelling the burning behaviour of medium density fiberboard (MDF) and estimate pyrolysis kinetic parameters.
Thermal degradation kinetic parameters (e.g. Ea, A and n) were calculated by Kissinger–Akahira–Sunose method (KAS). According comparison made between kinetic properties predicated by the genetic algorithm, experimental and KAS method is found that GA could effectively contribute to the estimation of precise activation energy (Ea) and reaction order (n) values with least amount of experimental work and most accuracy.
Furthermore, the four components of MDF, hemicellulose, cellulose, lignin, and resin were considered during the modelling of MDF decomposition.
کلیدواژه ها:
Genetic algorithm; Kinetics; TGA; Ea
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