Degradation Kinetics of Polycarbonate Composites: Kinetic Parameters and Artificial Neural Network

S. J. Charde, S. S. Sonawane, S. H. Sonawane and N. G. Shimpi

Abstract
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, ∆S*, ∆H* and ∆G* (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. (This work is licensed under a Creative Commons Attribution 4.0 International License.)

This work is licensed under a Creative Commons Attribution 4.0 International License

Keywords
kinetics, non-isothermal degradation, polycarbonate, Artificial Neural Network