Combustion study of rice husk under different heating rates by integrating thermogravimetric analysis and decision tree regression
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 deci...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2025/01/bioconf_icbae2025_02004.pdf |
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| author | Pambudi Suluh Jongyingcharoen Jiraporn Sripinyowanich Saechua Wanphut |
| author_facet | Pambudi Suluh Jongyingcharoen Jiraporn Sripinyowanich Saechua Wanphut |
| author_sort | Pambudi Suluh |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-f87a6f91b1f0441bbf869e56391c473f |
| institution | Kabale University |
| issn | 2117-4458 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| spelling | doaj-art-f87a6f91b1f0441bbf869e56391c473f2025-01-16T11:20:04ZengEDP SciencesBIO Web of Conferences2117-44582025-01-011500200410.1051/bioconf/202515002004bioconf_icbae2025_02004Combustion study of rice husk under different heating rates by integrating thermogravimetric analysis and decision tree regressionPambudi Suluh0Jongyingcharoen Jiraporn Sripinyowanich1Saechua Wanphut2Department of Agricultural Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, LadkrabangDepartment of Agricultural Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, LadkrabangDepartment of Agricultural Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, LadkrabangThis 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.https://www.bio-conferences.org/articles/bioconf/pdf/2025/01/bioconf_icbae2025_02004.pdf |
| spellingShingle | Pambudi Suluh Jongyingcharoen Jiraporn Sripinyowanich Saechua Wanphut Combustion study of rice husk under different heating rates by integrating thermogravimetric analysis and decision tree regression BIO Web of Conferences |
| title | Combustion study of rice husk under different heating rates by integrating thermogravimetric analysis and decision tree regression |
| title_full | Combustion study of rice husk under different heating rates by integrating thermogravimetric analysis and decision tree regression |
| title_fullStr | Combustion study of rice husk under different heating rates by integrating thermogravimetric analysis and decision tree regression |
| title_full_unstemmed | Combustion study of rice husk under different heating rates by integrating thermogravimetric analysis and decision tree regression |
| title_short | Combustion study of rice husk under different heating rates by integrating thermogravimetric analysis and decision tree regression |
| title_sort | combustion study of rice husk under different heating rates by integrating thermogravimetric analysis and decision tree regression |
| url | https://www.bio-conferences.org/articles/bioconf/pdf/2025/01/bioconf_icbae2025_02004.pdf |
| work_keys_str_mv | AT pambudisuluh combustionstudyofricehuskunderdifferentheatingratesbyintegratingthermogravimetricanalysisanddecisiontreeregression AT jongyingcharoenjirapornsripinyowanich combustionstudyofricehuskunderdifferentheatingratesbyintegratingthermogravimetricanalysisanddecisiontreeregression AT saechuawanphut combustionstudyofricehuskunderdifferentheatingratesbyintegratingthermogravimetricanalysisanddecisiontreeregression |