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Validation of a melting fraction-based effective thermal conductivity correlation for prediction of melting phase change inside a sphere

机译:验证基于熔融级分的有效导热性相关性,以预测球体内的熔化相变

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摘要

It is complicated and costly to directly simulate the natural convection influenced melting processes involving multiple PCM units in packed bed phase change system. An effective method to simulate such melting process is using an equivalent conduction model, in which the effective thermal conductivity (ETC) of PCM considering the natural convection effects is an important thermal parameter needing to be determined. In this paper, the ETC of PCM is investigated and determined by comparing numerical results based on models considering natural convection and pure conduction, respectively. Parameters of interest include melting fraction (alpha), Rayleigh number (Ra, 1.5 x 10(4) <= Ra <= 6.3 x 10(7)), Prandtl number (Pr, 17 <= Pr <= 550) and Stefan number (Ste, 0.011 <= Ste <= 0.276.). Results show that the ETC of PCM has a strong relation to alpha and R alpha, while it has lithe relation to Pr and Ste. Hence, an ETC correlation is developed as a function of R alpha and alpha. Validation and application of the ETC correlation are further carried out, and it is found that the melting fraction predicted based on the present ETC correlation can better reflect the effect of liquid zone geometry on the melting heat transfer with natural convection than that predicted based on the previously reported correlations using a liquid gap parameter.
机译:直接模拟自然对流影响涉及包装床相变系统中的多个PCM单位的自然对流,昂贵且昂贵。模拟这种熔化过程的有效方法使用的等效传导模型,其中考虑到自然对流效应的PCM的有效导热率(ETC)是需要确定的重要热参数。在本文中,通过基于考虑自然对流和纯传导的模型比较数值结果来研究和确定PCM等等。感兴趣的参数包括熔融级分(α),瑞利数(RA,1.5×10(4)<= Ra <= 6.3×10(7)),Prandtl号(Pr,17 <= Pr <= 550)和斯特凡数(STE,0.011 <= STE <= 0.276。)。结果表明,PCM的等与Alpha和Rα的特性有很强的关系,而它与PR和STE有关系。因此,作为Rα和alpha的功能开发了ETC相关性。进一步进行了ETC相关性的验证和应用,发现基于当前等等的预测的熔化部分可以更好地反映液体区几何形状对具有的自然对流的熔化热传递的影响,而不是基于所预测的以前报道了使用液间隙参数的相关性。

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