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A new pool boiling heat transfer correlation for wetting dielectric fluids on metal foams

机译:一种新的池沸腾传热相关性,用于润湿金属泡沫上的介电流液

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摘要

Porous structures, as metal foams, can enhance the heat transfer performance. For a safe industrial application, a predictive model for both heat transfer coefficient and maximum heat flux is required. But, there is no correlation for dielectric fluids on metal foams available in the literature. This work aims to develop a correlation based on dimensional analysis for metal foam surfaces in pool boiling with different dielectric fluids. The model takes into account the porous heating surface characteristics (porosity, pore diameter, and thickness), the working fluid thermophysical properties, and its interaction. The model was developed based on the experimental database obtained by the authors and validated with the open literature database. Two metal foams with different characteristics were used for carrying out the pool boiling tests with two different working fluids: HFE-7100 and ethanol. The newly developed correlation predicted well the database with an average error equal to 10.8% where 93.8% within the error range of ± 30%. To the maximum heat flux, the average error was 13.6% where 100% within the error range of ± 30%. The pore diameter and thickness play an important role in both models. The porosity and solid-phase thermal conductivity from the metal foam change the porous medium thermal conductivity, which influences the heat transfer coefficient (HTC). Finally, the properties of the working fluid also influence the predictive model, mainly the latent heat of vaporization, liquid thermal conductivity, and saturation temperature.
机译:多孔结构作为金属泡沫,可以增强传热性能。对于安全的工业应用,需要一种用于传热系数和最大热通量的预测模型。但是,在文献中可用的金属泡沫上的介电流体没有相关性。这项工作旨在基于池中具有不同介电流液中的金属泡沫表面的尺寸分析来发展相关性。该模型考虑到了多孔加热表面特性(孔隙率,孔径和厚度),所述工作流体热物理性质,且其相互作用。该模型是根据作者获得的实验数据库开发的,并用公开文献数据库验证。使用具有不同特性的两种金属泡沫用于使用两种不同的工作流体进行池沸腾试验:HFE-7100和乙醇。新开发的相关性预测了数据库,平均误差等于10.8%,其中误差范围为±30%。到最大热通量,平均误差为13.6%,其中100%在误差范围内为±30%。孔径和厚度在两种型号中发挥着重要作用。来自金属泡沫的孔隙率和固相导热率改变了多孔介质导热率,这影响了传热系数(HTC)。最后,工作流体的性质也影响预测模型,主要是蒸发的潜热,液体导热率和饱和温度。

著录项

  • 来源
    《International Journal of Heat and Mass Transfer》 |2021年第6期|121070.1-121070.15|共15页
  • 作者单位

    UNESP - Sao Paulo State University School of Engineering Post-Graduation Program in Mechanical Engineering Av. Brasil 56 15385-000 Ilha Solteira SP Brazil IFMS - Federal Institute of Education Science and Technology of Mato Grosso do Sul Campus Campo Grande Campo Grande MS Brazil;

    IN+ Dep. Mechanical Engineering Instituto Superior Tecnico Universidade de Lisboa Lisbon Portugal CINAM1L Military Academy Research Center Department of Exact Sciences and Engineering Portuguese Military Academy Lisbon Portugal;

    UNESP - Sao Paulo State University School of Engineering Post-Graduation Program in Mechanical Engineering Av. Brasil 56 15385-000 Ilha Solteira SP Brazil UNESP - Sao Paulo State University Campus of Sao Joao da Boa Vista Sao Joao da Boa Vista SP Brazil;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Pool boiling; Metal foam; Dielectric fluid; Predictive model; Immersion cooling;

    机译:池沸腾;金属泡沫;介电液;预测模型;浸没冷却;

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