Abstract

In this study, effective parameters on viscosity of a suitable oil for lubrication of heavy-duty engines (vehicles that are in use in construction, farm, and logging equipment, semi-trucks, delivery trucks, etc.) are studied. SAE50 as a single-degree engine oil is examined in present experimental work. The mentioned engine oil is enriched by MgO and MWCNT nanoparticles (NPs). The nanofluid was prepared in six solid volume fractions (SVF) and in temperature range of 25–50 °C. The results showed the viscosity dependence on shear rate, so nanolubricant has a non-Newtonian behavior. 2–4% Viscosity reduction in concentrations of 0.0625% and 0.125% reported in comparison with viscosity of pure fluid. Also sensitivity analysis of viscosity measurement was lower than 1% for all investigated conditions. To lower experimental costs, a mathematical correlation was proposed to predict the viscosity. The R² was considered as criterion for accuracy of proposed correlation. Having amount of 0.9995 for R² shows accommodation of correlation predictions with experimental results. Also maximum deviation of < 3% indicates that the proposed correlation has a high accuracy.

Graphic abstract

中文翻译：

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纳米颗粒作为重型发动机润滑剂富集SAE50的粘度分析

摘要

在这项研究中，研究了适用于润滑重型发动机（用于建筑，农场和伐木设备，半卡车，送货卡车等的车辆）的机油粘度的有效参数。在当前的实验工作中，对SAE50作为单度机油进行了研究。提到的机油富含MgO和MWCNT纳米颗粒（NPs）。纳米流体以六个固体体积分数（SVF）制备，温度范围为25–50°C。结果表明粘度与剪切速率有关，因此纳米润滑剂具有非牛顿行为。据报道，与纯流体的粘度相比，粘度降低了0.0625％和0.125％，降低了2-4％。在所有研究条件下，粘度测量的灵敏度分析均低于1％。为了降低实验成本，提出了一种数学相关性来预测粘度。的R ²被认为是提出的相关性准确性的标准。R ^2的量为0.9995，表明相关预测与实验结果相适应。此外，最大偏差<3％表示所提出的相关性具有很高的准确性。

图形摘要