Sepehrnia Mojtaba, Lotfalipour Mohammad, Malekiyan Mahdi, Karimi Mahsa, Farahani Somayeh Davoodabadi
Department of Mechanical Engineering, Shahabdanesh University, Qom, Iran.
Department of Mechanical Engineering, Technical and Vocational University, Qom, Iran.
Nanoscale Res Lett. 2022 Dec 8;17(1):117. doi: 10.1186/s11671-022-03756-7.
In this study, for the first time, the effects of temperature and nanopowder volume fraction (NPSVF) on the viscosity and the rheological behavior of SAE50-SnO-CeO hybrid nanofluid have been studied experimentally. Nanofluids in NPSVFs of 0.25% to 1.5% have been made by a two-step method. Experiments have been performed at temperatures of 25 to 67 °C and shear rates (SRs) of 1333 to 2932.6 s. The results revealed that for base fluid and nanofluid, shear stress increases with increasing SR and decreasing temperature. By increasing the temperature to about 42 °C at a NPSVF of 1.5%, about 89.36% reduction in viscosity is observed. The viscosity increases with increasing NPSVF about 37.18% at 25 °C. In all states, a non-Newtonian pseudo-plastic behavior has been observed for the base fluid and nanofluid. The highest relative viscosity occurs for NPSVF = 1.5%, temperature = 25 °C and SR = 2932.6 s, which increases the viscosity by 37.18% compared to the base fluid. The sensitivity analysis indicated that the highest sensitivity is related to temperature and the lowest sensitivity is related to SR. Response surface method, curve fitting method, adaptive neuro-fuzzy inference system and Gaussian process regression (GPR) have been used to predict the dynamic viscosity. Based on the results, all four models can predict the dynamic viscosity. However, the GPR model has better performance than the other models.
在本研究中，首次通过实验研究了温度和纳米粉末体积分数（NPSVF）对SAE50 - SnO - CeO混合纳米流体粘度和流变行为的影响。采用两步法制备了NPSVF为0.25%至1.5%的纳米流体。实验在25至67°C的温度和1333至2932.6 s的剪切速率（SR）下进行。结果表明，对于基础流体和纳米流体，剪切应力随SR的增加和温度的降低而增加。在NPSVF为1.5%时，将温度升高至约42°C，观察到粘度降低约89.36%。在25°C时，粘度随NPSVF的增加而增加约37.18%。在所有状态下，基础流体和纳米流体均表现出非牛顿假塑性行为。NPSVF = 1.5%、温度 = 25°C且SR = 2932.6 s时相对粘度最高，与基础流体相比粘度增加了37.18%。敏感性分析表明，最高敏感性与温度有关，最低敏感性与SR有关。采用响应面法、曲线拟合方法、自适应神经模糊推理系统和高斯过程回归（GPR）来预测动态粘度。结果表明，所有四种模型都可以预测动态粘度。然而，GPR模型的性能优于其他模型。
