Enabling computer-aided food process engineering: Property estimation equations for transport phenomena-based models

被引:73
作者
Gulati, Tushar [1 ]
Datta, Ashim K. [1 ]
机构
[1] Cornell Univ, Dept Biol & Environm Engn, Ithaca, NY 14853 USA
关键词
Modeling; Simulation; Thermal properties; Transport properties; Electrical properties; Mass diffusivity; EFFECTIVE THERMAL-CONDUCTIVITY; MICROWAVE DIELECTRIC-PROPERTIES; INITIAL FREEZING-POINT; ELECTRICAL-CONDUCTIVITY; WATER ACTIVITY; MASS-TRANSFER; POROUS-MEDIA; THERMOPHYSICAL PROPERTIES; PREDICTIVE EQUATIONS; PHYSICAL-PROPERTIES;
D O I
10.1016/j.jfoodeng.2012.12.016
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
During processing of a food, its temperature, moisture and other compositions, structure, etc., can change, continuously changing its physical properties. Realistic simulation of food processes require dynamic estimation of the food physical properties as they continue to change during the process. Having a few data points for a few states of the material, as is true for the majority of food properties data, is not sufficient for realistic process simulations. The goal of this article is a practical one: it is to develop a concise resource for the equations that can estimate food properties as they change during processing. Such a resource should make computer-aided food product, process and equipment design one step closer to reality by making the necessary input parameters available in one location and in a format that can be readily used in a simulation software. Several equilibrium, transport and electrical properties are included. The estimation equations for any property are chosen from among the most successful and accurate, staying away from property estimators that have theoretical basis but have not been as successful for food materials. For each property, implementation of its prediction equations in a computer model has also been discussed. Accuracy of each property estimation process have been included from the literature, showing most properties can be estimated to within 10% accuracy, sufficient for modeling purposes. Having such reasonable prediction models has the important implication that unavailability of sufficient data, that is expected to be always true due to the variety and complexity of food materials and processes, is not a bottleneck for computer-aided food process engineering. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:483 / 504
页数:22
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