Taguchi optimization of process parameters used for improving tribological behaviour of graphene nanoparticle dispersed nanolubricant

Abstract

The present study attempts to analyze the influence of specific process parameters that influence the tribological behavior of polyolester (POE) oils with Graphene nanoparticle-based additive. Graphene nanoparticle blends as additives for lubricant oil gained immense attention in recent years. Graphene is a two-dimensional material that possesses unique wear and friction characteristics; it can also serve as a colloidal or solid lubricant. To analyze the impact of factors, such as concentration of Graphene nanoparticles in POE oil, Sliding Velocity, and the Applied Load, on the tribological characteristics of the lubricant, the Taguchi robust design method is used. Best combination of the considered factors and the most important factor that affects the tribological behavior of the lubricants are brought out. In addition, the friction and wear properties of the lubricants are evaluated using a pin on disc type tribo test rig. Analysis of variance (ANOVA) is performed to analyze the significance of the considered control factors. The best combination of control factors will provide a minimum Coefficient of friction (COF). Thereby, in this study to improving the performance of the nano lubricant mixture, the optimum control factors are Graphene Nanoparticles- 0.05%, Sliding Velocity- 3.6 m/s, and Applied Load – 50 N.