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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

Puni tekst: engleski, pdf (4 MB) str. 151-165 preuzimanja: 398* citiraj
APA 6th Edition
Charde, S.J., Sonawane, S.S., Sonawane, S.H. i Shimpi, N.G. (2018). Degradation Kinetics of Polycarbonate Composites: Kinetic Parameters and Artificial Neural Network. Chemical and Biochemical Engineering Quarterly, 32 (2), 151-165. https://doi.org/10.15255/CABEQ.2017.1173
MLA 8th Edition
Charde, S. J., et al. "Degradation Kinetics of Polycarbonate Composites: Kinetic Parameters and Artificial Neural Network." Chemical and Biochemical Engineering Quarterly, vol. 32, br. 2, 2018, str. 151-165. https://doi.org/10.15255/CABEQ.2017.1173. Citirano 14.06.2021.
Chicago 17th Edition
Charde, S. J., S. S. Sonawane, S. H. Sonawane i N. G. Shimpi. "Degradation Kinetics of Polycarbonate Composites: Kinetic Parameters and Artificial Neural Network." Chemical and Biochemical Engineering Quarterly 32, br. 2 (2018): 151-165. https://doi.org/10.15255/CABEQ.2017.1173
Harvard
Charde, S.J., et al. (2018). 'Degradation Kinetics of Polycarbonate Composites: Kinetic Parameters and Artificial Neural Network', Chemical and Biochemical Engineering Quarterly, 32(2), str. 151-165. https://doi.org/10.15255/CABEQ.2017.1173
Vancouver
Charde SJ, Sonawane SS, Sonawane SH, Shimpi NG. Degradation Kinetics of Polycarbonate Composites: Kinetic Parameters and Artificial Neural Network. Chemical and Biochemical Engineering Quarterly [Internet]. 2018 [pristupljeno 14.06.2021.];32(2):151-165. https://doi.org/10.15255/CABEQ.2017.1173
IEEE
S.J. Charde, S.S. Sonawane, S.H. Sonawane i N.G. Shimpi, "Degradation Kinetics of Polycarbonate Composites: Kinetic Parameters and Artificial Neural Network", Chemical and Biochemical Engineering Quarterly, vol.32, br. 2, str. 151-165, 2018. [Online]. https://doi.org/10.15255/CABEQ.2017.1173

Sažetak
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.






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

Ključne riječi
kinetics; non-isothermal degradation; polycarbonate; Artificial Neural Network

Hrčak ID: 203165

URI
https://hrcak.srce.hr/203165

Posjeta: 603 *