ArticleJournal of the Taiwan Institute of Chemical Engineers2023
Thermal degradation model of used surgical masks based on machine learning methodology.
Article in Journal of the Taiwan Institute of Chemical Engineers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Design framework and optimization of portable biomedical waste decomposition systems using ANN and MOPSO.Scientific reports · 2025Article
- Dodecahedral hollow multi-shelled CoRSC advances · 2024Article
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Authors and funding
5 authors.
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Abstract
Background: The COVID-19 pandemic has leveraged facial masks to be one of the most effective measures to prevent the spread of the virus, which thereby has exponentially increased the usage of facial masks that lead to medical waste mismanagements which pose a serious threat to life. Thermal degradation or pyrolysis is an effective treatment method for the used facial mask wastes and this study aims to investigate the thermal degradation of the same. Methods: Predicted the TGA experimental curves of the mask components using a Machine Learning model known as Artificial Neural Network (ANN). Significant findings: Three different parts of the mask namely- ribbon, body, and corner were separated and used for the analysis. The thermal degradation behavior is studied using Thermogravimetric Analysis (TGA) and this is crucial for determining the reactivity of the individual mask components as they are subjected to a range of temperatures. Using the curves obtained from TGA, kinetic parameters such as Activation energy (
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