In the current paper, the rheological behavior of MWCNTs-TiO₂/EG hybrid nanofluid was examined. The well-known two-step method was employed to scatter the nano-powder into the ethylene glycol (EG). The dispersed nano-powder consisted of 80 Vol% of TiO₂ and 20 Vol% of MWCNTs. The viscosity measurements were performed at the temperatures ranging from 25 to 55 °C and various solid volume fractions of 0.05, 0.1, 0.125, 0.25, 0.5, 0.75, and 1%. Experimental results showed that the addition of nano-powder to EG does not alter its Newtonian behavior. Besides, it was found that the viscosity of the prepared sample was directly related to the temperature and solid volume fractions of nano-powder. The dynamic viscosity of samples enhanced by growing the solid nanoparticles volume fraction and decreasing the temperature. The dynamic viscosity increase for the nanofluid containing 1 Vol% of nanoparticles was recorded to be 194% and 323% at the temperatures of 25 and 50 °C, respectively. Therefore, at greater temperatures, the effect of nanoparticles on the viscosity became more pronounced. Additionally, Adaptive Neuro Fuzzy Inference System (ANFIS) and Support Vector Machine (SVM) methodologies were applied to estimate the nanofluid viscosity. Based on the error calculations, both techniques can forecast the rheological behavior of MWCNTs-TiO2/EG nanofluids with high accuracy. However, the accuracy of the ANFIS method outperforms the SVM approach.

在本文中，研究了MWCNTs-TiO ₂ / EG杂化纳米流体的流变行为。采用众所周知的两步法将纳米粉末分散到乙二醇（EG）中。分散的纳米粉末由80体积％的TiO ₂和20体积％的MWCNT组成。粘度测量是在25至55° C的温度范围内进行的和各种固体体积分数0.05、0.1、0.125、0.25、0.5、0.75和1％。实验结果表明，向EG中添加纳米粉末不会改变其牛顿行为。此外，发现所制备样品的粘度与纳米粉末的温度和固体体积分数直接相关。通过增加固体纳米颗粒的体积分数并降低温度，可以提高样品的动态粘度。在25和50° C的温度下，包含1 Vol％纳米颗粒的纳米流体的动态粘度增加记录为194％和323％， 分别。因此，在更高的温度下，纳米颗粒对粘度的影响变得更加明显。此外，采用了自适应神经模糊推理系统（ANFIS）和支持向量机（SVM）方法来估算纳米流体的粘度。基于误差计算，这两种技术都可以高精度预测MWCNTs-TiO2 / EG纳米流体的流变行为。但是，ANFIS方法的准确性优于SVM方法。