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首页> 外文期刊>International Journal of Heat and Mass Transfer >Experimental, numerical and analytic study of unconstrained melting in a vertical cylinder with a focus on mushy region effects
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Experimental, numerical and analytic study of unconstrained melting in a vertical cylinder with a focus on mushy region effects

机译:垂直圆柱中无约束熔化的实验,数值和解析研究,重点是糊状区域效应

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摘要

The enthalpy-porosity method is widely used in solving solid-liquid phase change problems that involve convection in the me however the influence of the required mushy zone parameter on the melting process has been largely overlooked. In this paper, further investigation of the mushy zone parameter is presented. The enthalpy-porosity method is the default model in Fluent for melting simulations. A comprehensive discussion of previously reported mushy zone parameter values is presented with a comparison to numerical and experimental results. In this paper, based on experimental validations of melting times, it is found that mushy zone parameters can be optimized based on relevant driving temperature differences. And despite the fact that the model cannot capture bulk solid sinking behaviors, numerical solid sinking behaviors by Fluent are still widely reported in the literature. Explanations and supporting numerical analysis are given for this seeming contradiction. Finally, an analytic solution for unconstrained sinking is developed. With the introduction of a tuning parameter to modify the viscosity of the mushy region in the bottom liquid layer, good agreement between the analytical model and experimental results is achieved. A linear correlation for the tuning parameter based on driving temperature differences is given. (C) 2018 Elsevier Ltd. All rights reserved.
机译:焓-孔隙率法广泛用于解决涉及熔体对流的固液相变问题。然而,所需的糊状区参数对熔融过程的影响已被大大忽略。在本文中,提出了对糊状区参数的进一步研究。焓-孔隙率方法是Fluent中用于熔融模拟的默认模型。提出了对以前报道的糊状区域参数值的全面讨论,并与数值和实验结果进行了比较。在本文中,基于融化时间的实验验证,发现可以根据相关的驱动温度差异来优化糊状区域参数。尽管该模型无法捕获大量固体下沉行为,但Fluent的数值固体下沉行为仍在文献中广泛报道。给出了这种似乎矛盾的解释和支持的数值分析。最后,开发了无约束下沉的解析解。通过引入调整参数来修改底部液体层中糊状区域的粘度,可以使分析模型与实验结果保持良好的一致性。给出了基于驱动温度差的调整参数的线性相关性。 (C)2018 Elsevier Ltd.保留所有权利。

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