The Use of the Artificial Neural Network (ANN) for Modeling of Thermogravimetric Curves of Tobacco Stalk Waste Exposed to Alkaline Treatment

• Autor(a) principal: Dalle, Danieli
• Data de Publicação: 2022
• Outros Autores: Hansen, Betina, Zattera, Ademir Jose, Ornaghi, Heitor Luiz, Monticeli, Francisco Maciel [UNESP], Catto, Andre Luis, Borsoi, Cleide
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1080/15440478.2022.2051670; http://hdl.handle.net/11449/218857
• topic: Tobacco residue; alkaline treatment; artificial neural network; surface response methodology

Tobacco is a rich source of cellulosic material and one of the most cultivated non-food plants in the world with great potential for incorporation in polymeric matrices. The use of tobacco residues as reinforcing filler requires chemical/physical fiber treatment aiming to maximize compatibility with the polymer. In this study, tobacco residues were treated with two concentrations of NaOH (10 or 15 wt.%) at two-time exposures (3 or 5 h). Four distinct heating rates were used for each condition. It was applied an artificial neural network to model the thermogravimetric curves. After, the fitted ANN curves were used to create a 3D surface response. The equations from 3D surface response allowed the creation of thermogravimetric curves in any heating rate situated between the minimum and maximum range tested.