The Autohydrolysis of Albies Alba Wood Using Adaptive Neural Fuzzy Interference System Mathematical Modeling

Abstract

In this work, autohydrolysis pretreatment of Albies alba wood was conducted to obtain a liquid fraction, which contains hemicellulosic fraction recovered as sugars and byproducts, and a solid phase, which contains cellulose and lignin. The influence of temperature (180°C, 190°C, and 200°C) and pretreatment time (5, 10, and 15 minutes) on the compounds resulting in liquid and in solid fractions were studied. The software ANFIS Edit Matlab 7.0 was used to develop a fuzzy neural model that reproduces the experimental results of the dependent variables with errors less than 10%. The optimum of solubilized components in liquid fraction has been obtained at 190°C and 10 minutes pretreatment time. The proposed ANFIS model and the neuro-fuzzy modeling demonstrate performance of prediction on the autohydrolysis of wood process.

Keywords:

• Wood
• Autohydrolysis
• ANFIS
• Hemicellulose
• Sugars

FUNDING

This work was supported by the UEFISCDI, PNII Program No. 43 - HYCAT, (ANCS Program).