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Inverse determination of thermal conductivity in lumber based on genetic algorithms

  • Jingyao Zhao , Zongying Fu , Xiaoran Jia und Yingchun Cai EMAIL logo
Veröffentlicht/Copyright: 7. Mai 2015
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Abstract

A 3D numerical solution of the heat conduction equation is proposed based on the finite volume method to describe the heating of wood, where the thermal conductivity (ThC) is variable, and the convective heat transfer coefficient is constant. ThC parameters were found through an optimization process based on genetic algorithms. The objective function between measured and simulated curves is determined, and parameters with greatest correspondence between measured and estimated values were obtained. As a result, a new equation for ThC is proposed, which depends on moisture and temperature. The proposed coefficient is validated by experiments, and a good agreement was found between experimental heating curves and those obtained by simulation by means of the new heat conduction equation.


Corresponding author: Yingchun Cai, Key Laboratory of Bio-based Material Science and Technology (Ministry of Education), College of Material Science and Engineering, Northeast Forestry University, Harbin 150040, P.R. China, Phone: +86 451 8219 1002, Fax: +86 451 8219 1002, e-mail:

Acknowledgments

The project was supported by the “Fundamental Research Funds for the Central Universities,” Grant No. 2572014AB21.

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Received: 2015-1-14
Accepted: 2015-3-30
Published Online: 2015-5-7
Published in Print: 2016-3-1

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