牛奶蒸发过程的现象学半物理模型

Emiro A. Lopez-Acosta, Omar A. Perez-Sierra, Fabián A Ortega-Quintana, Everaldo J. Montes-Montes, Maria N. Martinez-Miranda
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引用次数: 2

摘要

本研究的目的是建立一个基于现象学的牛奶蒸发过程半物理模型。蒸发是溶剂以水蒸气的形式从溶液中消失。在乳制品工业中,蒸发是奶粉加工的一种预处理,可以降低干燥过程、储存和运输的成本。因此,需要一个合适的数学模型来控制和优化牛奶的蒸发过程,从而获得高质量的产品。以前的研究提出了蒸发过程的数学模型。然而,这些模型中的大多数都是基于保持恒定的值,如流体的热学性质、汽化潜热和总体传热系数等,这意味着预测的误差很大。该模型的目的是预测蒸发器中的温度、浓度和牛奶水平。利用LABVIEW 2011软件对得到的模型进行龙格-库塔法求解,并用实际过程的实验数据采用绝对平均误差对模型进行定量验证。通过对蒸发室真空压力、蒸汽流量和进奶流量等过程变量进行阶梯扰动,得到了蒸发器内温度、浓度和奶位的实验数据。定量验证表明,所建立的模型误差小于5%,能较好地预测牛奶蒸发过程中目标变量的动态行为。
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Phenomenological based Semi-Physical Model for the Milk Evaporation Process
The aim of this study was present a Phenomenological Based Semi-physical Model (PBSM) for the milk evaporation process. The evaporation is the elimination of solvent in form of water steam from a solution. In the dairy industry, the evaporation is a pretreatment for the powder milk processes that reduce the cost of the drying process, storage and transport. Thus, an appropriated mathematical model is necessary in order to get a good control and optimized process of milk evaporation, which allows obtaining a high-quality product. Previous studies have presented mathematical models for the evaporation process. However, the majority of these models are based on maintaining constant values such as the thermal properties of fluids, latent heat of vaporization and global coefficient of heat transfer, among others and this means that there will be high errors of predictions. The aim of this model was to predict the temperature, concentration and milk level in the evaporator. The model obtained was solved using the Runge-Kutta method with the software “LABVIEW 2011” and it was quantitatively validated with experimental data from a real process using the absolute mean error. The experimental data of temperature, concentration and milk level in the evaporator were obtained applying step-like disturbances in the process variables: vacuum pressure in the evaporation chamber, steam flow and milk feeding flow. The quantitative validation showed that the obtained model can predict satisfactorily the dynamic behavior of the target variables of the milk evaporation process because the error was less than 5%.
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