2020
DOI: 10.1002/ceat.202000133
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Superheated Steam Drying of Single Wood Particles: Modeling and Comparative Study with Hot Air Drying

Abstract: A deterministic model is developed to describe the superheated steam drying process of single wood particles. A comparison between calculated data and experimental observations infers that the moisture‐dependent effective diffusivity is suitable to be used for beechwood material drying. To reduce the computational cost of the deterministic drying model, a semi‐empirical model is proposed within the framework of a reaction engineering approach (REA). The validity of the proposed model is checked by comparing ag… Show more

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Cited by 8 publications
(5 citation statements)
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“…The finite volume method is applied to solve the conjugated heat and mass transfer equations ( 1) and ( 2) numerically. A description of the discretization procedure was presented in the previous studies [19,20]. A sensitive study is conducted to check the mesh independence solution.…”
Section: Methodsmentioning
confidence: 99%
“…The finite volume method is applied to solve the conjugated heat and mass transfer equations ( 1) and ( 2) numerically. A description of the discretization procedure was presented in the previous studies [19,20]. A sensitive study is conducted to check the mesh independence solution.…”
Section: Methodsmentioning
confidence: 99%
“…For an example, this method is applied for single wood particle drying process in superheated steam environment. The detail description of the geometrical information, initial and boundary conditions is presented in Le et al [19]. The effective diffusivity of 6.633 Â 10 À9 m 2 /s determined using the experimental data observed at a drying temperature of 140°C can be used reliable for a large range of drying temperature as shown in Figure 7.…”
Section: Diffusion Modelmentioning
confidence: 99%
“…Different heat and mass transfer equations were developed to predict the change and distribution of the moisture content and temperature at different drying stages. Both the two‐dimensional pore network model and the reaction engineering methodology were also efficient in predicting moisture content and temperature (Le et al, 2017; Le et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…Both the two-dimensional pore network model and the reaction engineering methodology were also efficient in predicting moisture content and temperature (Le et al, 2017;Le et al, 2021).…”
mentioning
confidence: 99%