Optimal mix of nano-additives with SAE10W30 lubricant oilfor enhanced performance

Abstract

This article focuses on enhancing the performance of SAE10W30 lubricant oil for desirable lubricant properties, mixing with three different nano-additives. An artificial neural network, trained with data from 810 samples, was employed to predict the properties for 8,000 combinations of nano additives. This analysis identified the optimal mix that minimized wear and friction while ensuring desirable viscosity, density, and thermal stability. The blend was validated through real-time testing on a crankshaft-bearing assembly.