Deterioration Mechanism and Status Prediction of Hydrocarbon Lubricants under High Temperatures and Humid Environments

IF 4.7 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-03-31 DOI:10.3390/lubricants12040116
Rui Su, Wei Cao, Zili Jin, Yifan Wang, Letian Ding, Muhammad Maqsood, Dong Wang
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Abstract

In practical engineering applications, high temperatures and water ingress seriously affect the service life of hydrocarbon lubricants. In this study, the deterioration process of hydrocarbon lubricants under high temperatures and humid environments was investigated, and a new health state prediction model was proposed. Simulation of hydrocarbon lubricant Polyalpha−olefin (PAO) molecules used the ReaxFF force field to analyse the high temperature thermal oxidation process of lubricants. The rheological properties of oil−water emulsions were determined by observing the morphology of oil−water two−phase mixtures with different water contents. A multiparameter fusion viscosity prediction model was proposed using a linear model of the viscosity of aqueous fluids, as affected by temperature and water content, and was fitted with the Andrade viscosity−temperature equation to predict lubricant viscosity changes under multiple parameters. Online validation tests were carried out on a compound planetary transmission system, and the surface topographical parameters of the transmission components were further discussed. Experimental results show that the linear correlation with the improved lubricant viscosity prediction model is 0.966, and the surface wear of transmission components is consistent with the trend of lubricant quality change. These findings provide a fundamental basis for the assessment of lubricant service life in high temperatures and humid environments.
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高温潮湿环境下碳氢化合物润滑油的劣化机理和状态预测
在实际工程应用中,高温和进水严重影响了碳氢化合物润滑油的使用寿命。本研究对碳氢化合物润滑油在高温和潮湿环境下的劣化过程进行了研究,并提出了一种新的健康状态预测模型。利用 ReaxFF 力场模拟碳氢化合物润滑油聚α-烯烃(PAO)分子,分析润滑油的高温热氧化过程。通过观察不同含水量的油水两相混合物的形态,确定了油水乳剂的流变特性。利用水性流体粘度受温度和含水量影响的线性模型,提出了多参数融合粘度预测模型,并与安德拉德粘度-温度方程进行拟合,以预测多参数条件下的润滑油粘度变化。在复合行星传动系统上进行了在线验证测试,并进一步讨论了传动部件的表面形貌参数。实验结果表明,改进后的润滑油粘度预测模型的线性相关性为 0.966,变速器部件的表面磨损与润滑油质量变化趋势一致。这些研究结果为评估润滑油在高温潮湿环境下的使用寿命提供了基本依据。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
期刊介绍: ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric. Indexed/​Abstracted: Web of Science SCIE Scopus CAS INSPEC Portico
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