2019
DOI: 10.1002/htj.21531
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Finite difference Legendre wavelet collocation method applied to the study of heat mass transfer during food drying

Abstract: In this paper, we studied a single‐phase‐lag model of heat and moisture transfer in a finite slab, cylinder or sphere, undergoing industrial drying of foods. The present model is a boundary value problem of a system of two nonlinear second‐order hyperbolic partial differential equations. The solution of the present is model obtained by using finite difference Legendre wavelet collocation (FDLWCM) and Galerkin methods. In case of constant moisture diffusivity, we observe that the finite difference Legendre wave… Show more

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Cited by 8 publications
(1 citation statement)
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“…There was an advanced numerical model developed to identify the heat and moisture transport of porous material when it vibrates 72 . Temperature‐ and moisture‐dependent mass diffusivity is one of the complex numerical solution but it could predict the temperature and moisture distribution accurately in the study of Upadhyay et al 73 Recently, a study was made by Onwude et al 11 to solve the flow domain and temperature and moisture distribution of food material simultaneously. They developed a 2D simultaneous solution of heat and mass transfer using COMSOL Multiphysics for drying of sweet potato.…”
Section: Mathematical Models Developedmentioning
confidence: 99%
“…There was an advanced numerical model developed to identify the heat and moisture transport of porous material when it vibrates 72 . Temperature‐ and moisture‐dependent mass diffusivity is one of the complex numerical solution but it could predict the temperature and moisture distribution accurately in the study of Upadhyay et al 73 Recently, a study was made by Onwude et al 11 to solve the flow domain and temperature and moisture distribution of food material simultaneously. They developed a 2D simultaneous solution of heat and mass transfer using COMSOL Multiphysics for drying of sweet potato.…”
Section: Mathematical Models Developedmentioning
confidence: 99%