Abstract Nanorefrigerants with low particle concentration (≤0.1 vol. %) would bring more benefits in industrial application. In this article, R141b based nanorefrigerants containing Al2O3, TiO2 and SiO2 nanoparticles with concentrations of 0.02 − 0.1 vol. % were prepared and characterized. Thermal conductivities of these nanorefrigerants were measured in the temperature range of 278 − 298 K. The effect of concentration, temperature, and particle size on the thermal conductivity of nanorefrigerants was investigated. Meanwhile, a model for thermal conductivity of nanorefrigerants was proposed considering the mechanisms of interfacial layer, aggregation and Brownian motion. Results show that the thermal conductivity increased with increasing temperature, concentration, while decreased with increasing particle size. Thermal conductivity was increased by reducing particle size in all cases. Also, the deviation of the data obtained by present model from the experimental values was mostly

中文翻译：

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低体积浓度纳米制冷剂热导率的测量和建模

摘要 低颗粒浓度（≤0.1 vol. %）的纳米制冷剂将在工业应用中带来更多好处。在本文中，基于 R141b 的纳米制冷剂含有浓度为 0.02 - 0.1 体积的 Al2O3、TiO2 和 SiO2 纳米颗粒。% 被制备和表征。在 278 - 298 K 的温度范围内测量了这些纳米制冷剂的热导率。研究了浓度、温度和粒径对纳米制冷剂热导率的影响。同时，考虑界面层、聚集和布朗运动的机制，提出了纳米制冷剂的热导率模型。结果表明，热导率随着温度、浓度的增加而增加，而随着粒径的增加而降低。在所有情况下，通过减小颗粒尺寸来提高热导率。此外，目前模型获得的数据与实验值的偏差主要是