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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Published in: | Journal of food engineering Vol. 31; no. 1; pp. 95 - 111 |
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Main Authors: | , |
Format: | Journal Article |
Language: | English |
Published: |
Oxford
Elsevier Ltd
1997
Elsevier |
Subjects: | |
Online Access: | Get full text |
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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. |
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ISSN: | 0260-8774 1873-5770 |
DOI: | 10.1016/S0260-8774(96)00029-5 |