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Thermal decomposition of rice husk: a comprehensive artificial intelligence predictive model |
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| Authors: | Alaba Peter Adeniyi Popoola Segun I. Abnisal Faisal Lee Ching Shya Ohunakin Olayinka S. Adetiba Emmanuel Akanle Matthew Boladele Abdul Patah Muhamad Fazly Atayero Aderemi A. A. Wan Daud Wan Mohd Ashri |
| Affiliation: | 1.Department of Chemical Engineering, Faculty of Engineering, University of Malaya, 50603, Kuala Lumpur, Malaysia ;2.Department of Electrical and Information Engineering, Covenant University, Ota, Ogun State, Nigeria ;3.Department of Chemical Engineering, Faculty of Engineering, King Abdulaziz University, Rabigh, 21911, Saudi Arabia ;4.University of Malaya, 50603, Kuala Lumpur, Malaysia ;5.UMR5503 Laboratoire de Génie Chimique (LGC), Toulouse, France ;6.The Energy and Environment Research Group (TEERG), Mechanical Engineering Department, Covenant University, Ota, Ogun-State, Nigeria ;7.Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa ;8.HRA, Institute for Systems Science, Durban University of Technology, P.O. Box 1334, Durban, South Africa ; |
| Abstract: | Journal of Thermal Analysis and Calorimetry - This study explored the predictive modelling of the pyrolysis of rice husk to determine the thermal degradation mechanism of rice husk. The study can... |
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