CFD Simulation of Frost on Horizontal Cold Surfaces.

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES
Kailiang Huang, Jiaxing Wei, Xianshi Fang, Guohui Feng, Xuejiao Meng, Guodong Qiu
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引用次数: 0

Abstract

Frost formation is a common phenomenon observed across many different fields, including refrigeration, construction, and natural gas processing. However, due to its complex nature, developing an accurate and reliable numerical model remains a significant challenge. Despite previous efforts to tackle this issue, current models still have certain limitations. This paper introduces a modified numerical model for frost formation, developed based on the fundamental mechanisms underlying frost formation. The model utilizes an Eulerian multiphase flow approach coupled with the Lee phase change model. In addition, the approach for determining the maximum frost volume fraction is updated, enabling the model to consider density variations during the frosting process. The model is rigorously validated by comparing it with experimental data on thickness, density, and distribution from various studies. The results indicate that the mean absolute relative deviation (MARD) for frost thickness is 8.97%, while the MARD for density is 16.06%. Furthermore, the frost morphology predicted by the model closely matches the experimental observations reported in the reference.

水平冷面霜的CFD模拟。
结霜是在许多不同领域观察到的常见现象,包括制冷、建筑和天然气加工。然而,由于其复杂性,开发一个准确可靠的数值模型仍然是一个重大挑战。尽管之前的努力解决了这个问题,但目前的模型仍然有一定的局限性。本文介绍了一种修正的霜冻形成数值模型,该模型是根据霜冻形成的基本机制发展起来的。该模型采用欧拉多相流方法与李相变模型相结合。此外,更新了确定最大霜体积分数的方法,使模型能够考虑结霜过程中的密度变化。通过与各种研究的厚度、密度和分布的实验数据进行比较,对模型进行了严格的验证。结果表明,霜厚的平均绝对相对偏差(MARD)为8.97%,密度的平均绝对相对偏差(MARD)为16.06%。此外,该模型预测的霜形态与参考文献中报道的实验观测结果非常吻合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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