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Optimising treatment system for Kenaf (Hibiscus cannabinus) particleboard with fire retardants


Izran, K and Ashaari, Zaidon and Beyer, G and Abdul Rashid, A. M and Abood, F and Rahim, S (2010) Optimising treatment system for Kenaf (Hibiscus cannabinus) particleboard with fire retardants. Journal of Tropical Forest Science, 22 (2). pp. 175-183. ISSN 0128-1283


Particleboard is widely used for panelling, partitioning and ceiling in buildings. The treatment of this material to improve fire performance is not an exception. A study was carried out to determine the fire performance of kenaf particleboard treated with phosphorous-based fire retardants. Kenaf core particles were first treated separately with 8 and 10% solutions of monoammonium phosphate (MAP), diammonium phosphate (DAP) and a mixture of boric acid, guanylurea phosphate and phosphoric acid (BP®) using hot and cold bath processes. The soaking time needed to achieve the standard dry salt retention, i.e. 50 kg m-3 was determined. Particleboards from these treated kenaf particles were fabricated and their fire performance evaluated. Using 8% treating solution, it took about 36, 21 and 48 min of immersing in cold bath to achieve the standard retention requirement for MAP, DAP and BP® respectively but for 10% concentration, the times were slightly shorter, i.e. 15, 20 and 35 min respectively. Among the three phosphorous formulations, BP® showed the best performance in improving the insulation and integrity of kenaf particleboard when exposed to fire. This is followed by MAP and DAP. BP®-treated board was the last to ignite compared with the other two boards.

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Additional Metadata

Item Type: Article
Subject: Kenaf industry.
Subject: Fireproofing agents.
Subject: Particle board.
Divisions: Faculty of Forestry
Keywords: MAP; DAP; BP; Hot and cold bath; Fire resistance; Early burning performance
Depositing User: kmportal
Date Deposited: 14 May 2013 01:57
Last Modified: 28 Sep 2015 08:20
URI: http://psasir.upm.edu.my/id/eprint/15961
Statistic Details: View Download Statistic

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