Issue |
BIO Web Conf.
Volume 150, 2025
2024 6th International Conference on Biotechnology and Agriculture Engineering (ICBAE 2024)
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Article Number | 02004 | |
Number of page(s) | 8 | |
Section | Plant-Derived Antibacterial Agents and Plant Resources for Energy | |
DOI | https://doi.org/10.1051/bioconf/202515002004 | |
Published online | 15 January 2025 |
Combustion study of rice husk under different heating rates by integrating thermogravimetric analysis and decision tree regression
Department of Agricultural Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Ladkrabang, Bangkok 10520, Thailand
* Corresponding author: wanphut.sa@kmitl.ac.th
This study investigates the combustion behavior of rice husk using thermogravimetric analysis coupled with decision tree regression. Results indicated that increasing heating rates caused elevated burnout (Tb) and peak temperatures (Tp) while extending the active combustion stage. The optimized decision tree model effectively predicts mass loss, demonstrated by a perfect coefficient of determination (R²) of 1 with a low root mean square error (RMSE) of 0.1993 on the validation set. The model’s robustness suggested its potential for accurate mass loss prediction in rice husk combustion.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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