Application of Artificial Neural Network Approach for the Kinetic Parameters Determination of Pyrolysis Aseptic Waste Packages
| Author | Goh, Sharon Meng Xuang |
| Author | Chin, Bridgid Lai Fui |
| Author | Tan, Yie Hua |
| Author | Yiin, Chung Loong |
| Author | Jawad, Zeinab Abbas |
| Author | Abdeen, Dana H. |
| Available date | 2024-04-22T04:57:05Z |
| Publication Date | 2023 |
| Publication Name | 2023 International Conference on Digital Applications, Transformation and Economy, ICDATE 2023 |
| Resource | Scopus |
| Abstract | The thermal degradation behavior for the pyrolysis of aseptic packages was studied using thermogravimetric analyzer under nitrogen atmosphere at the temperature range of 50–900°C with five different heating rates (10, 20, 30, 50, and 100 °C/min). Artificial neural network (ANN) model was also employed in this study to predict the thermal degradation behavior of the aseptic packages. The ANN model employed in this study can predict the result with an accuracy of 99.9%. Model-free methods such as Kissinger-Akahira-Sunose (KAS), Friedman (FR) and Starink methods were employed to determine the kinetic parameters. The KAS model was the most accurate model among the three model-free methods as it has the lowest percentage error. The activation energy, Ea for aseptic packages is in the range of 182-218 kJ/mol. |
| Sponsor | The authors would like to thank Curtin University Malaysia and Qatar University for their technical support and assistance in carrying out this research. |
| Language | en |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Subject | Artificial neural network Aseptic waste packages Kinetic Pyrolysis |
| Type | Conference Paper |
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Chemical Engineering [1133 items ]