Original scientific paper
https://doi.org/10.15255/CABEQ.2017.1173
Degradation Kinetics of Polycarbonate Composites: Kinetic Parameters and Artificial Neural Network
S. J. Charde
; Department of Chemical Engineering, Visvesvaraya National Institute of Technology (VNIT), Nagpur, India 440010
S. S. Sonawane
; Department of Chemical Engineering, Visvesvaraya National Institute of Technology (VNIT), Nagpur, India 440010
S. H. Sonawane
; Department of Chemical Engineering, NIT Warangal
N. G. Shimpi
; Department of Chemistry, University of Mumbai, Mumbai
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, 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.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Keywords
kinetics; non-isothermal degradation; polycarbonate; Artificial Neural Network
Hrčak ID:
203165
URI
Publication date:
5.7.2018.
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