The work focuses on an experimental evaluation of the changes of thermal conductivity (TC) of ethylene glycol-based nanofluid containing SiO₂ nanoadditives against volume concentration of nanoadditives (φ) and temperature. The experiments are carried out in the φ range of 0–2.5% and temperature range of 30–55 °C. The dynamic light scattering method is used to obtain the particle size distribution, while the transmission electron microscopy technique is utilized to visualize agglomerated particles in the prepared nanofluid samples. The outcomes revealed that the TC of the nanofluid grows by boosting both the φ and temperature. The percentage enhancement varied in the range of 0.72–26.66%. Furthermore, the curve-fitting method was utilized to model the TC of the nanofluid using experimental data. It was found that the developed model is able to properly forecast the TC of nanofluid with the maximum percentage error of 1.75%.

这项工作的重点是对含SiO ₂纳米添加剂的乙二醇基纳米流体相对于纳米添加剂的体积浓度（φ）和温度的热导率（TC）的变化进行实验评估。实验是在φ范围为0–2.5％和温度范围为30–55°C的条件下进行的。动态光散射法用于获得粒径分布，而透射电子显微镜技术用于可视化所制备的纳米流体样品中的团聚颗粒。结果表明，纳米流体的TC通过提高φ和温度。增强百分比在0.72-26.66％的范围内变化。此外，曲线拟合方法用于利用实验数据对纳米流体的TC建模。发现开发的模型能够正确预测纳米流体的TC，最大百分比误差为1.75％。