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

被引：0
作者：
Kamble, Dinesh [1 ]
Gadekar, Tushar [2 ]
Ambhore, Nitin [3 ]
机构：
[1] Mechanical Engineering Department, Vishwakarma Institute of Technology, Pune
[2] VIIT and ZCOER, Pune
[3] Mechanical Department, VIIT Pune
来源：
Tribologia: Finnish Journal of Tribology | 2024年 / 41卷 / 3-4期
关键词：
ANOVA; Friction; Gearbox oil; Nano Composite; Predictor; Wear;
D O I：
10.30678/fjt.127887
中图分类号：
学科分类号：
摘要：
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. © 2024 The Authors.
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页码：37 / 48
页数：11
相关论文
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