STATISTICAL ANALYSIS OF THE RESULTS OF STUDYING THE TRIBOTECHNICAL CHARACTERISTICS OF LUBRICANTS UNDER FRICTION
DOI:
https://doi.org/10.18372/0370-2197.4(101).18082Keywords:
lubricants, friction, wear, statistical analysis, regression analysis, ANOVAAbstract
Effective lubricants play a crucial role in ensuring machinery's smooth operation across diverse industries like aviation, engineering, and automotive sectors. Their significance lies in enhancing operational efficiency, reducing downtime due to equipment breakdowns, and extending machinery lifespan. These lubricants primarily target friction and wear reduction, thereby increasing intervals between maintenance and repair cycles in various equipment. The research aimed to evaluate the specific parameters impacting wear in friction pairs, focusing on the lubricating antifriction and anti-wear properties of Aero Shell Grease 33 and VNIINP-286M. Using an СМЦ -2 installation, real-time monitoring of tribocontact indicators like friction torque, roller speed, and lubricant temperature was conducted. The study considered non-stationary friction conditions, varied contact loads, and different lubricant application methods to prevent boundary lubrication. Statistical processing via Statgraphics Centurion software involved regression analysis and ANOVA. Regression models correlated wear with variables like friction work, lubricant layer thickness, friction coefficient, contact load, and penetration. Stepwise regression eliminated non-significant variables, refining the predictive model's accuracy. ANOVA validated the model's significance. The outcomes highlighted variables like load and friction as significant contributors to wear in friction pairs, leading to a more comprehensive understanding of lubricant performance in various operational conditions. The study emphasized the practical applicability of statistical tools in optimizing lubricant efficiency and machinery reliability, shedding light on key variables driving wear behavior in friction systems.
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