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المؤلفGoh, Sharon Meng Xuang
المؤلفChin, Bridgid Lai Fui
المؤلفTan, Yie Hua
المؤلفYiin, Chung Loong
المؤلفJawad, Zeinab Abbas
المؤلفAbdeen, Dana H.
تاريخ الإتاحة2024-04-22T04:57:05Z
تاريخ النشر2023
اسم المنشور2023 International Conference on Digital Applications, Transformation and Economy, ICDATE 2023
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/ICDATE58146.2023.10248689
معرّف المصادر الموحدhttp://hdl.handle.net/10576/53989
الملخصThe 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.
راعي المشروعThe authors would like to thank Curtin University Malaysia and Qatar University for their technical support and assistance in carrying out this research.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعArtificial neural network
Aseptic waste packages
Kinetic
Pyrolysis
العنوانApplication of Artificial Neural Network Approach for the Kinetic Parameters Determination of Pyrolysis Aseptic Waste Packages
النوعConference
dc.accessType Abstract Only


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