Simulation of tagasaste pulping using soda-anthraquinone.

Abstract:

:In this work, published experimental result data of the pulping of tagasaste (Chamaecytisus proliferus L.F.) with soda and anthraquinone (AQ) have been used to develop a model using a neural network. The paper presents the development of a model with a neural network to predict the effects that the operational variables of the pulping reactor (temperature, soda concentration, AQ concentration, time and liquid/solid ratio) have on the properties of the paper sheets of the obtained pulp (brightness, traction index, burst index and tear index). Using a factorial experimental design, the results obtained with the neural network model are compared with those obtained from a polynomial model. The neural network model shows a higher prediction precision that the polynomial model.

journal_name

Bioresour Technol

journal_title

Bioresource technology

authors

Labidi J,Tejado A,García A,Jiménez L

doi

10.1016/j.biortech.2007.12.052

subject

Has Abstract

pub_date

2008-10-01 00:00:00

pages

7270-7

issue

15

eissn

0960-8524

issn

1873-2976

pii

S0960-8524(07)01086-3

journal_volume

99

pub_type

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