2009
DOI: 10.1016/j.jfoodeng.2008.11.001
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Development of an approximate empirical-CFD model estimating coupled heat and water transfers of stacked food products placed in airflow

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Cited by 29 publications
(11 citation statements)
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“…The following five model assumptions were made for the temperature and relative humidity field distribution in the container (Chourasia & Goswami, 2007b; Haijun & Ankang, 2014; Le Page, Chevarin, Kondjoyan, Daudin, & Mirade, 2009; Li, Jiani, & Yang, 2011; Thorpe, 2008): The tomato stack is a porous medium model with laminar flow in its interior. The air in the container is a Newtonian fluid, which conforms to the Boussinesq assumption, that is, the fluid density changes with temperature while density changes caused by pressure changes are ignored. The container is well sealed and thus the effects of air leakage can be ignored. Heat radiation between walls and tomatoes can be ignored. The air at the container wall meets the no‐slip boundary condition. …”
Section: Description Of Numerical Modelmentioning
confidence: 99%
“…The following five model assumptions were made for the temperature and relative humidity field distribution in the container (Chourasia & Goswami, 2007b; Haijun & Ankang, 2014; Le Page, Chevarin, Kondjoyan, Daudin, & Mirade, 2009; Li, Jiani, & Yang, 2011; Thorpe, 2008): The tomato stack is a porous medium model with laminar flow in its interior. The air in the container is a Newtonian fluid, which conforms to the Boussinesq assumption, that is, the fluid density changes with temperature while density changes caused by pressure changes are ignored. The container is well sealed and thus the effects of air leakage can be ignored. Heat radiation between walls and tomatoes can be ignored. The air at the container wall meets the no‐slip boundary condition. …”
Section: Description Of Numerical Modelmentioning
confidence: 99%
“…The mathematical relationships are different than when air and product domain are seen as one domain; the simulation has to take the interaction in terms of mass and energy at the boundary between product and air into account. This way of modelling and simulation is common in several post-harvest food applications (such as Zou et al, 2006;Ferrua and Singh, 2009;Tutar et al, 2009;Page et al, 2009;Dehghannya et al, 2011;Delele et al, 2013).…”
Section: Notice Frommentioning
confidence: 99%
“…At low air velocities (i.e. below 0.1 m.s -1 ) natural convection can become prevalent and as a result heat transfer is no longer solely dominated by forced convection (Page et al, 2009).…”
Section: Thermal Anemometersmentioning
confidence: 99%