食物比热模型综述

Baranov Igor Vladimirovich, A. Tun
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引用次数: 0

摘要

本文综述了常用的预测食物比热随温度变化的数学模型。比热是衡量食物温度变化一度所需能量的单位。食品比热是确定食品工艺和加工设备热负荷设计的关键。在冰点以上的预测数学模型称为食物比热。在冰点以下,由于相变过程中涉及的潜热,该模型被称为食物的表观比热。食物的比热取决于它们的成分、结构和温度。获取食品比热值数据的方法有三种:公开数据(文献)、直接测量(实验)和预测方程(预测)。利用数学模型对食品比热进行预测。建立数学模型是预测食品比热的一种经济有效的方法。通常,这些数学模型是基于食物成分的。使用最广泛的预测模型是Choi和Okos(1987)模型和Schwartzberg(1976)模型。这些数学模型可用于预测食物的比热随温度的变化。其他广泛使用的预测数学模型还有Seibel(1892)、Chen(1985)和Heldman(1975)。Seibel(1892)和Heldman和Singh(1981)模式没有显示温度的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review of the specific heat of food models
This review proposes the mathematical models widely used by predicting the specific heat of food as a function of temperature. Specific heat is a measure of the energy required to change the temperature of food by one degree. Specific heat of food is essential to determine the heat load imposed on the designing food processes and processing equipment. Above freezing temperature the predicting mathematical model is called specific heat of food. Below freezing temperature the model is called apparent specific heat of food, because of the latent heat involved during phase change. The specific heats of food depend on their composition, structure and temperature. Three ways to obtain value data of specific heat of food such as published data (literature), direct measurement (experiment) and predictive equation (prediction). Predicting of the specific heat of food products was using mathematical models. Mathematical modeling is economical method to determine for predicting of the specific heat of food. Typically, these mathematical models are based on food compositions. The most widely used predicting models are Choi and Okos (1987) model and Schwartzberg (1976) model. These mathematical models are can be used by predicting of the specific heat of food as function of temperature. Other widely used predicting the mathematical models are Seibel (1892), Chen (1985) and Heldman (1975). Seibel (1892) and Heldman and Singh (1981) models do not show the effect of temperature.
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