Developing charring rate models for Chinese species based on the thermodynamic theory

Developing charring rate models for Chinese species based on the thermodynamic theory In respect of fire resistance and fire integrity, the charring rate is the most important property of timber. It has been a worldwide research focus to develop a charring model for predicting the charring rate. The objective of this study is to establish an integral charring model, which is based on a tailored thermodynamic equation for commercial Chinese timber species. At 50 kW/m2 heat flux, results show that the cone calorimeter can equal the furnace trials for testing the charring rate and also establish a charring rate model with a relative error of less than 20%. The integral model at a heat flux of 50 kW/m2 is safer to predict the charring rate than the other two models. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Wood Science and Technology Springer Journals

Developing charring rate models for Chinese species based on the thermodynamic theory

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2017 by Springer-Verlag Berlin Heidelberg
Subject
Life Sciences; Wood Science & Technology; Ceramics, Glass, Composites, Natural Materials; Operating Procedures, Materials Treatment
ISSN
0043-7719
eISSN
1432-5225
D.O.I.
10.1007/s00226-017-0920-y
Publisher site
See Article on Publisher Site

Abstract

In respect of fire resistance and fire integrity, the charring rate is the most important property of timber. It has been a worldwide research focus to develop a charring model for predicting the charring rate. The objective of this study is to establish an integral charring model, which is based on a tailored thermodynamic equation for commercial Chinese timber species. At 50 kW/m2 heat flux, results show that the cone calorimeter can equal the furnace trials for testing the charring rate and also establish a charring rate model with a relative error of less than 20%. The integral model at a heat flux of 50 kW/m2 is safer to predict the charring rate than the other two models.

Journal

Wood Science and TechnologySpringer Journals

Published: Jun 12, 2017

References

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