Combustion study of rice husk under different heating rates by integrating thermogravimetric analysis and decision tree regression

Pambudi, Suluh; Jongyingcharoen, Jiraporn Sripinyowanich; Saechua, Wanphut

doi:10.1051/bioconf/202515002004

Combustion study of rice husk under different heating rates by integrating thermogravimetric analysis and decision tree regression

Author(s)

Pambudi, Suluh

Jongyingcharoen, Jiraporn Sripinyowanich

Saechua, Wanphut

Date Issued

January 15, 2025

Type

Conference Paper

DOI

10.1051/bioconf/202515002004

Abstract

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.

Citation

Bio Web of Conferences, 150, 2025