Hemmat Esfe Mohammad, Alidoust Soheyl, Mohammadnejad Ardeshiri Erfan, Kamyab Mohammad Hasan, Toghraie Davood
Department of Mechanical Engineering, Imam Hossein University, Tehran, Iran.
School of Chemistry, Damghan University, Damghan, 36716-41167, Iran.
Nanoscale Res Lett. 2022 Jan 4;17(1):4. doi: 10.1186/s11671-021-03639-3.
In this study, MWCNT-AlO hybrid nanoparticles with a composition ratio of 50:50 in SAE50 base oil are used. This paper aims to describe the rheological behavior of hybrid nanofluid based on temperature, shear rate ([Formula: see text] and volume fraction of nanoparticles ([Formula: see text]) to present an experimental correlation model. Flowmetric methods confirm the non-Newtonian behavior of the hybrid nanofluid. The highest increase and decrease in viscosity ([Formula: see text]) in the studied conditions are measured as 24% and - 17%, respectively. To predict the experimental data, the five-point-three-variable model is used in the response surface methodology with a coefficient of determination of 0.9979. Margin deviation (MOD) of the data is determined to be within the permissible limit of - 4.66% < MOD < 5.25%. Sensitivity analysis shows that with a 10% increase in [Formula: see text] at [Formula: see text] 1%, the highest increase in [Formula: see text] of 34.92% is obtained.
在本研究中,使用了在SAE50基础油中组成比为50:50的多壁碳纳米管-氧化铝混合纳米颗粒。本文旨在描述基于温度、剪切速率([公式:见原文])和纳米颗粒体积分数([公式:见原文])的混合纳米流体的流变行为,以提出一个实验关联模型。流量测量方法证实了混合纳米流体的非牛顿行为。在所研究的条件下,粘度([公式:见原文])的最大增加和减少分别测量为24%和-17%。为了预测实验数据,在响应面方法中使用了五点三变量模型,其决定系数为0.9979。数据的边缘偏差(MOD)确定在允许范围内,即-4.66% < MOD < 5.25%。敏感性分析表明,在[公式:见原文]为1%时,[公式:见原文]增加10%,可获得[公式:见原文]的最大增加量为34.92%。