|
|||||
|
|
Thermal decomposition of rice husk: a comprehensive artificial intelligence predictive model |
|
| 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 |
| Institution: | 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... |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |