Deep Understanding of the Mechanism and Thermophysical Properties of Prepared Nanofluids Lube Oil Stock-60 with Al2O3 NPs

Abstract

Iraqi petroleum refineries produce large quantities of base lubricating oils (lube oils). Managing the influence of nano-additives on the lube oil nanofluids is required deep understanding to explain the resulting new specifications of produced nano-lubricants. The present study investigated the effect of Al 2 O 3 NPs addition on the thermal properties of lube oil stock-60. Different mass additions of 0.25, 0.65, 1.05, 1.45, and 1.85 wt.% of Al 2 O 3 NPs at operating temperatures of 20-50°C were evaluated. Also, the thermal conductivity coefficient of the prepared nanofluid was studied at the full range of the experimental temperatures (20-50°C). It was noted that the addition of Al 2 O 3 NPs improved the thermal properties of the prepared nano-lubricant due to the high thermal conductivity of the added Al 2 O 3 NPs. Moreover, the greatest improvement in the thermal conductivity of modified nano-lubricating oil was 13.02% at added Al 2 O 3 mass fraction of 1.85%. The results indicated that the viscosity index of the prepared nano-lubricant was improved dramatically with Al 2 O 3 NPs addition increase at measured standard temperatures of 40 and 100°C. The viscosity index of lubricant nanofluid is increased up to 2.46% at a weight fraction of 1.85%. The flashpoint increased by 1.33, 3.54, 5.75, 7.52, and 9.73% for mass fraction of 0.25, 0.65, 1.05, 1.45, and 1.85 wt.%, respectively. o of nanofluid lube wt.% Al O NPs. Finally, nano-lubricating oil has high feasibility. accurate for predicting the viscosity of both types of nano-lubricants was NPs the results of the XRD Al 2 O 3 the same key characteristics peaks of Al 2 O 3 NPs of PDF-Card-00-048-1548. in at The experimental data then using the curve approach. To forecast the relative viscosity of nano-lubricant, new correlations were developed. Relationship of µ nf in the other direction with temperature. A novel experimental correlation for estimating the relative viscosities of nano-lubricants of each kind of nanomaterial was presented. With acceptable accuracy, the suggested correlation could anticipate nano-lubricant dynamic viscosity.