Analysis of accuracy in the numerical simulation of the freezing process in food materials

Simulation of freezing in foods is difficult due to the inherent nonlinearity of the numerical problem. In this study, a technique was presented and used to assess the accuracy of the Crank-Nicolson and the two-step finite difference methods in solving this nonlinear problem. Overall, the accuracy o...

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Bibliographic Details
Published in:Journal of food engineering Vol. 31; no. 1; pp. 95 - 111
Main Authors: Saad, Zoubeir, Scott, Elaine P.
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 1997
Elsevier
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Summary:Simulation of freezing in foods is difficult due to the inherent nonlinearity of the numerical problem. In this study, a technique was presented and used to assess the accuracy of the Crank-Nicolson and the two-step finite difference methods in solving this nonlinear problem. Overall, the accuracy of the two-step method was higher than that of the Crank-Nicolson. These numerical methods were also implemented to simulate one-dimensional freezing experiments. The results of the two-step method again exhibited better agreement with the experimental data than the Crank-Nicolson results.
ISSN:0260-8774
1873-5770
DOI:10.1016/S0260-8774(96)00029-5