Degradation Kinetics of Polycarbonate Composites: Kinetic Parameters and Artificial Neural Network
In order to design a reactor, kinetics of degradation of polycarbonate/CaCO3 composites was investigated here by thermogravimetric analysis (TGA), applying model-free and modelistic methods together, to obtain E, A, ΔS*, ΔH* and ΔG* (kinetic parameters). The system was tested with all the mechanisms...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Croatian Society of Chemical Engineers
2018-07-01
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Series: | Chemical and Biochemical Engineering Quarterly |
Subjects: | |
Online Access: | http://silverstripe.fkit.hr/cabeq/assets/Uploads/01-2-18.pdf |
Summary: | In order to design a reactor, kinetics of degradation of polycarbonate/CaCO3 composites was investigated here by thermogravimetric analysis (TGA), applying model-free and modelistic methods together, to obtain E, A, ΔS*, ΔH* and ΔG* (kinetic parameters). The system was tested with all the mechanisms available using non-isothermal modelistic method (Coats-Redfern). This approach allowed choosing the models, which are otherwise difficult to decide upon simply based on regression fit methods. The mechanism proposed was a simple nth order. Application of artificial neural network supported in
designing a neural network could lead to a quick determination of kinetic parameters. |
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ISSN: | 0352-9568 1846-5153 |