Backpropagation DNN and Thermokinetic Analysis of the Thermal Devolatilization of Dried Pulverized Musa sapientum (Banana) Peel
Abdulrazak Jinadu Otaru · 2025
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Description
Abdulrazak Jinadu Otaru models how banana peel waste breaks down under heat, pairing classic thermal kinetics with a neural network fit. The pulverized peel is a lignocellulosic biomass whose pyrolysis behavior decides its value as fuel or feedstock. Thermogravimetric runs at four heating rates traced the degradation.
Most mass loss fell between roughly one hundred ninety and six hundred sixty degrees. A backpropagation network trained on the traces reproduced them almost exactly and cut its training loss dramatically over many epochs. Sensitivity analysis named degradation temperature the dominant influence on conversion. Master plot analysis of the separated components pointed to a three-dimensional diffusion mechanism for hemicellulose, cellulose, and lignin alike. The study blends machine learning with established thermokinetics.
Catalog record
| CREATOR | Abdulrazak Jinadu Otaru |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 50 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |