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USE OF THERMAL CONDUCTIVITY MODELS TO CHECK MEASURED THERMAL CONDUCTIVITY DATA

机译:使用导热率模型检查测量的导热系数

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Thermal conductivity data are important for modelling thermal processes and designing refrigeration systems. The literature contains a large number of data for food products, but many are questionable, whether due to typographical errors during publication, indirect measurement methods or inherent variability in the properties of the food itself. This paper describes a method by which the reliability of thermal conductivity data can be checked using simple thermal conductivity models and basic heat transfer theory, provided composition data for the foods is available, or may be assumed based on foods with similar composition. The method is applied to a variety of foods to serve as worked examples. It is recommended that these bounds be used to check the credibility of measured data, before it is published, and also to check published data before it is used in any calculations.
机译:导热性数据对于建模热处理和设计制冷系统是重要的。 该文献包含大量的食品数据,但许多是可疑的,是否由于在出版时的印刷错误,间接测量方法或食物本身属性的固有变异性。 本文描述了一种方法,通过该方法可以使用简单的导热模型和基本传热理论检查导热系数的可靠性,提供食品的组合数据,或者可以基于具有相似组成的食物来假设。 该方法应用于各种食物以作为工作实例。 建议在发布之前,使用这些限制来检查测量数据的可信度,并在任何计算中使用之前检查已发布的数据。

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