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Licensed Unlicensed Requires Authentication Published by De Gruyter July 29, 2010

Analysis of water vapour sorption of oleo-thermal modified wood of Acacia mangium and Endospermum malaccense by a parallel exponential kinetics model and according to the Hailwood-Horrobin model

  • Zaihan Jalaludin , Callum A.S. Hill , Hashim W. Samsi , Hamdan Husain and Yanjun Xie
From the journal Holzforschung

Abstract

Two Malaysian hardwoods, acacia (Acacia mangium Wild.) and sesendok (Endospermum malaccense Bent. ex Müll. Arg.) that had been previously subjected to oleo-thermal modification, were studied to determine their dynamic sorption kinetic behaviour. All specimens were thermally modified in palm oil at 180°C, 200°C, and 220°C and 3 h treatment time. Data were analysed using the parallel exponential kinetics (PEK) model, and excellent fits to the experimental data were obtained. The relation between the monolayer water and polylayer water was also examined by the Hailwood-Horrobin (H-H) model at a range of relative humidity (RH) values. The PEK model divides the sorption kinetics curve into a fast and slow sorption processes. Characteristic times of the two processes at various RH showed sorption hysteresis with all of the specimens only in the slow process. However, with mass change data, sorption hysteresis occurred with both the slow and fast processes. By comparing H-H and PEK models, it was found that the fast and slow sorption process of untreated and treated E.malaccense could possibly be linked, respectively, to monolayer and polylayer formation from 5 to 40% RH. No such correlation was found for A. mangium, however.


Corresponding author. Centre for Timber Engineering, Joint Research Institute for Civil and Environmental Engineering, School of Engineering and the Built Environment, Edinburgh Napier University, Edinburgh, EH10 5DT, UK Phone: +44-131-4552573

Received: 2010-3-5
Accepted: 2010-5-7
Published Online: 2010-07-29
Published Online: 2010-07-29
Published in Print: 2010-10-01

©2010 by Walter de Gruyter Berlin New York

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