Rheological behavior of 10W40 base oil containing different combinations of MWCNT-Al2O3 nanoparticles and determination of the target nano-lubricant for industrial applications

IF 4.7 Q2 NANOSCIENCE & NANOTECHNOLOGY
Mohammad Hemmat Esfe, Soheyl Alidoust, Hossein Hatami, Davood Toghraie
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引用次数: 0

Abstract

The main goal of this research is to compare the rheological behavior of hybrid nano lubricants (HNLs) with different composition ratios in a base oil. The purpose of the comparison is to determine the HNL with the best lubrication performance at the start of the vehicle. Theoretical methods have confirmed the non-Newtonian behavior in different laboratory conditions. HNLs with the composition ratio of 30:70 and 25:75 had the highest percentage of increase and decrease in viscosity, respectively 34.97% and − 1.85% at T = 55 °C, shear rate SR = 6665 s−1 and solid volume fraction SVF = 1% and T = 5 °C, SR = 3999 s−1 and SVF = 0.05%. To predict the viscosity of the desired HNL, in the RSM, a special model with an accuracy of R2 = 0.9997 has been used. The margin of deviation (MOD) is determined in the range of − 3.43% < MOD < 4.75%. Viscosity sensitivity analysis shows that the greatest sensitivity will result from SVF changes at high SVFs. The experimental results of this study will introduce the optimal nano polishing to the craftsmen, and the theoretical part of this study will save the researchers from spending time and excessive economic costs.

含不同MWCNT-Al2O3纳米颗粒组合的10W40基础油流变行为及工业应用目标纳米润滑剂的测定
本研究的主要目的是比较不同成分比的混合纳米润滑油(HNLs)在基础油中的流变行为。比较的目的是确定车辆启动时润滑性能最佳的HNL。理论方法证实了在不同实验室条件下的非牛顿行为。在T = 55℃,剪切速率SR = 6665 s−1,固相体积分数SVF = 1%, T = 5℃,SR = 3999 s−1,SVF = 0.05%时,组成比为30:70和25:75的HNLs的粘度增减百分比最高,分别为34.97%和- 1.85%。为了预测期望HNL的粘度,在RSM中,使用了一个特殊的模型,其精度为R2 = 0.9997。偏差余量(margin of deviation, MOD)确定在−3.43% < MOD < 4.75%范围内。粘度敏感性分析表明,在高SVF时,SVF的变化将产生最大的敏感性。本研究的实验结果将为工匠们介绍最优的纳米抛光,本研究的理论部分将节省研究人员花费的时间和过高的经济成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Micro and Nano Systems Letters
Micro and Nano Systems Letters Engineering-Biomedical Engineering
CiteScore
10.60
自引率
5.60%
发文量
16
审稿时长
13 weeks
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