A predictive system based on experimental study of lubricant blended with composite additives

Authors

• Dinesh Kamble Mechanical Engineering Department, Vishwakarma Institute of Technology, Pune, India
• Tushar Gadekar VIIT and ZCOER Pune https://orcid.org/0000-0002-3155-620X
• Nitin Ambhore Mechanical Department, VIIT Pune https://orcid.org/0000-0001-8468-8057

DOI: https://doi.org/10.30678/fjt.127887

Keywords:

Friction, Wear, Nano Composite, Gearbox oil, ANOVA, Predictor

Abstract

Friction & wear are main reasons for mechanical failures of heavy loaded gearboxes. However, reformed lubricant can be used to control this. This study investigates the tribological behavior of composite Nano size particles with ZDDP as add-on in EP gearbox oil for various concentrations of composite additive - 0.005, 0.01, 0.02 wt.%. All tests have conducted under variable loads (60 N, 80 N & 100N) & sliding velocities (0.65m/s, 1.05 m/s & 1.50 m/s). The experimental reading on antiwear & antifriction parameters for gear EP oil has been tested on pin on disc instrument. The response surface approach was used to build the experiment's design (DOE), which examined the ideal friction coefficient & wear volume loss in EP 220 Lubricant. Outcomes from the experimental study have been compared for two gear EP oils to indicate influence of various parameters like nanoparticles blend %, load and sliding velocity. It is found that the blending of gear EP oil with composite additives & ZDDP diminishes the wear & COF by 11.98 % and 9.81 % individually under various load & speed working conditions.