Semi-analytical Approach for Prediction of Freezing Times of Regular Shaped Foods
Keywords:
estimation, freezing, literature., temperature, comparingAbstract
Food freezing is one of the most significant applications of refrigeration. In order for freezing operations to be cost-effective, it is necessary to optimally design the refrigeration equipment. This requires estimation of the freezing times of foods. Estimation of food freezing time analytically is not possible, and numerous semi analytical methods for predicting food freezing times are available. A new method has been proposed for the prediction of freezing time and the performance of these various methods is evaluated in this paper by comparing their results to experimental freezing time data obtained from the literature. The proposed method shows error ranges upto 10 %, hence may be used for estimation of food freezing time.
References
Heldman, D.R. (1975) Food Process Engineering, AVI Publishing Co., Westport, CT.
Plank, R. (1913) Zeitschrift für die gesamte Kalte Industrie 20: 109-114.
Plank, R. (1941) Beiheft zur Zeitschrift für die gesamte Kalte-Industrie Reihe 3(10): 1- 17.
Cleland, A. C., and Earle, R. L. (1977). A comparison of analytical and numerical methods of predicting the freezing times of foods. Journal of Food Science, 42(5): 1390-1395.
Cleland, A. C., and Earle, R. L. (1979). Prediction of freezing times for foods in rectangular packages. Journal of Food Science, 44(4): 964-970.
Nagaoka, J., Takaji, S., and Hohani, S. (1955). Experiments on fish freezing in air blast freezers. Proceedings of the Ninth International Congress on Refrigeration, Paris, paper 4.321.
Pham, Q. T. (1984). Extension to Planck's equation for predicting freezing times of foodstuffs
Pham, Q. T. (1986). Simplified equation for predicting the freezing time of foodstuffs.
International Journal of Food Science &
Technology, 21(2): 209-219.
Hossain, M. M., Cleland, D. J., and Cleland, A. C. (1992). Prediction of freezing and thawing
times for foods of regular multi
dimensional shape by using an
analytically derived geometric factor.
International Journal of Refrigeration,
(4): 227-234.
Kumar, S. 2006. Studies on Freezing time in a cryo-freezer. Ph.D. thesis. IIT Kharagpur,
India.
