Prediction of Freezing Time and Numerical Model of Heat Transfer during Freezing Process

In this study, three mathematical models (Plank, Pham and numerical model (finite element)) were used to predict the freezing time of potato samples. In order to develop the numerical model, thermophysical properties (density, thermal conductivity and specific heat) were predicted as a function of sample composition and temperature. Convective heat transfer coefficient was also estimated using the inverse problem method and dimensionless numbers. The results showed that the time calculated by the numerical model was the most accurate among three models and in the next step the best model was Pham model. In addition, an excellent agreement was obtained between observed temperature and temperature predicted by the numerical method in different freezing methods. In conclusion, the developed numerical model predicts the freezing temperature of potato samples correctly and can be used to simulate the freezing of suspended food in the air. In addition, the inverse problem method developed to predict convective heat transfer coefficient can be used in different freezing systems in order to choose the best system or optimize the process of food freezing.