2010
DOI: 10.1016/j.icheatmasstransfer.2009.08.008
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Computational and experimental analysis of high temperature thermal treatment of wood based on ThermoWood technology

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Cited by 26 publications
(15 citation statements)
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“…They predominate over turbulence effects, due to the small value of local Reynolds number of turbulence. In consequence, the classical wall function method [24,33,43] was used for fluid in this region to bridge the near-solid-wall region in the case of standard k-ε model. The integration of k and ε equations from the fully turbulent region to the wall led to the following equation for the wall shear stress:…”
Section: Equations For the Fluidmentioning
confidence: 99%
See 1 more Smart Citation
“…They predominate over turbulence effects, due to the small value of local Reynolds number of turbulence. In consequence, the classical wall function method [24,33,43] was used for fluid in this region to bridge the near-solid-wall region in the case of standard k-ε model. The integration of k and ε equations from the fully turbulent region to the wall led to the following equation for the wall shear stress:…”
Section: Equations For the Fluidmentioning
confidence: 99%
“…These predominant mechanisms depend not only on the internal physical properties and hygroscopic nature of wood; but also on external conditions of temperature, fluid humidity and flow, and the way that heat is supplied during the treatment [22,23]. Some authors have numerically considered the problem of thermal treatment of wood at high temperature as a conjugate simultaneous heat and mass transfer through porous medium [7,[24][25][26]. The theory of transport phenomena in porous materials can be found in several investigations [27][28][29][30][31].…”
Section: Introductionmentioning
confidence: 99%
“…Younsi et al (2010) adopted the commercial software ANSYS-CFX to solve numerically the turbulent flow of a binary mixture in a wood dry kiln. The authors compared the numerical results with experimental data aiming at validating the simulation.…”
Section: Introductionmentioning
confidence: 99%
“…In a similar direction, Mohan and Talukdar [2] present a 3D computational model to study the convective drying of a moist object. More recently, two works assessing convective drying of wood have been reported in the literature [7,8]. Younsi et al [7] utilise a 3D model to compute the turbulent flow inside convective kilns and evolution of the temperature and moisture content.…”
Section: Introductionmentioning
confidence: 99%
“…More recently, two works assessing convective drying of wood have been reported in the literature [7,8]. Younsi et al [7] utilise a 3D model to compute the turbulent flow inside convective kilns and evolution of the temperature and moisture content. Thibeault et al [8] combine the Ansys CFX (heat and moisture transfer) and FESh++ (mechanical approximation) commercial codes to predict the thermo-hygro-mechanical behaviour of wood during convective drying.…”
Section: Introductionmentioning
confidence: 99%