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Thermal modelling of epoxy based intumescent coating in fire

Lookup NU author(s): Dr Kai Yi, Dr George Kotsikos, Sandra Christke

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Abstract

© 2016, European Conference on Composite Materials, ECCM. All rights reserved. Steel is the commonly used material for structural framework especially in industrial and civil buildings. Although it offer numerous advantages but it suffer in fire, where it softens or loses its rigidity and compromises the integrity of the structure. Fire retardant intumescent coatings are extensively used as passive fire protection system for structural protection which will be degraded and expanded forming into a char layer with relatively high resistance to heat transfer and consequently improve the fire resistance as well as survivability of structures. Most of intumescent coatings are polymer based compound contains ammonium polyphosphate (APP) as acid source, melamine (Mel) as the blowing agent and pentaerythritol (PER) as carbon agent. Current procedures for evaluation of structural fire protection systems involve large-scale burner and jet-fire tests which are expensive and often inhibit products development. Many works were developed for mathematical modelling of heat transfer process and obtaining thermal information like time-temperature curve of substrate protected by intumescent coating. In this research, in-house and commercially prepared epoxy based intumescent coating were selected to evaluate the accuracy of the developed model in different intumescent coating system. The fire protection of the intumescent coatings were simulated by bonding them to a 10 mm thick steel plate, exposing them to a constant heat flux and recording the temperature rise of the plate respectively. A model which includes heat conduction, heat evolved due to reaction of active compounds and convective heat flow of volatiles gases was applied to predict the time-temperature of substrate protected by these two intumescent coatings. Kinetic and thermal properties of these two intumescent coatings were analysed using TGA and DSC. This data will be the kinetic parameters for the thermal modelling. The coefficient of determination R2 of TGA curve fitting is more than 99.5%. The modelling predictions and the experimental results were show a good agreement with each other.


Publication metadata

Author(s): Yi K, Jusoh WW, Gibson G, Kotsikos G, Christke S

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: ECCM 17: 17th European Conference on Composite Materials

Year of Conference: 2016

Acceptance date: 02/04/2016

Publisher: European Conference on Composite Materials, ECCM

URL: http://www.eccm17.org/

Library holdings: Search Newcastle University Library for this item

ISBN: 9783000533877


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