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

ABSTRACT

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.

摘要

烟草是纤维素物质的丰富来源, 是世界上栽培最多的非食用植物之一, 具有很大的潜力, 可用于聚合物基质. 将烟草残渣用作增强填料需要进行化学/物理纤维处理, 以最大限度地提高与聚合物的相容性. 在本研究中, 烟草残留物在两次暴露 (3或5小时) 下用两种浓度的NaOH (10或15 wt.%) 处理. 每种情况使用四种不同的加热速率. 采用人工神经网络对热重曲线进行建模。之后, 使用拟合的ANN曲线创建3D表面响应. 根据de 3D表面响应方程, 可以在最小和最大测试范围之间的任何加热速率下创建热重曲线.

KEYWORDS:

• Tobacco residue
• alkaline treatment
• artificial neural network
• surface response methodology

关键词:

• 关键词
• 烟草残渣
• 碱处理
• 人工神经网络
• 表面响应法

Acknowledgments

The authors would like to thank CAPES and UNIVATES for the financial support.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplementary material

Supplemental data for this article can be accessed on the publisher’s website