硼系列添加剂在汽车合成齿轮润滑油中的摩擦学机理及应用研究

发布时间：2018-05-01 04:13

本文选题：汽车齿轮润滑油 + 硼系列添加剂　；参考：《沈阳理工大学》2016年硕士论文

【摘要】：随着汽车工业的迅猛发展,全球的资源危机越来越明显。不论汽车、机车、所有的机械,润滑的效能决定该机械使用年数与动效率,润滑油或油脂好坏、选用就成了最重要的课题。本研究使用MS-800型四球试验机,在新戊基多元醇酯(NPE-3)中对硫氮硼酸酯、含氮硼酸酯、十六烷基硼酸钙、十八烷氧基硫代纳米硼酸钙十八烷氧基氮代硼酸钙五个硼类添加剂进行摩擦学研究;在新戊基多元醇酯(NPE-3)与己二酸异辛酯(1:1)中对聚五硫化物、二烷基二硫代氨基甲酸酯、猪油cd-1二硫代磷酸酯进行了摩擦学研究。采用均匀设计方法对含硫氮硼酸酯、含氮硼酸酯、十六烷基硼酸钙、十八烷氧基纳米硫代纳米硼酸钙和十八烷氧基氮代硼酸钙五种硼系列添加剂分别与二烃基五硫化物、磷之星和硫化异丁烯和苯三唑脂肪胺盐在新戊基多元醇酯(NPE-3)中进行了3因素7水平和5因素9水平的试验设计,并使用人工神经网络方法对试验结果进行了优化,又对试验验证和误差分析,从而验证初步试验的准确性及选出更加优化的添加剂含量配比结果研究;采用电子显微镜和能谱图分析摩擦表面状态和机理,研究了硼系列添加剂在新戊基多元醇酯(NPE-3)中的摩擦学规律和硼系列添加剂在新戊基多元醇酯(NPE-3)中与传统的硫系和磷系添加剂的协同作用,并分析其润滑作用机理,研究不同载荷下的压力对磨斑直径的影响,并用扫描电子显微镜(SEM)分析含氮硼酸酯添加剂对钢球摩擦表面膜的组成和化学状态的影响,以揭示添加剂间相互作用机理。利用BP神经网络理论建立了多种添加剂在新戊基多元醇酯(NPE-3)中的摩擦学性能神经网络模型。面对环保要求和汽车齿轮润滑发展的趋势,开发研制环保型汽车齿轮润滑油势在必行,进行环保型汽车齿轮润滑油的润滑性能具有十分重要的意义。
[Abstract]:With the rapid development of automobile industry, the global resource crisis is becoming more and more obvious. Whether automobile, locomotive, all machinery, lubricating effectiveness determines the number of years of service and dynamic efficiency of the machinery, lubricating oil or grease quality, selection has become the most important subject. In this study, MS-800 four-ball tester was used in the study of p-thio-borate, nitroborate and calcium hexadecyl borate in a new pentyl polyol ester (NPE-3). Tribological study on five boron additives of octadecyl calcium octadecyl thioboric acid calcium octadecoxy azoboric acid, in the presence of neopentyl polyol ester (NPE-3) and isooctyl adipate (1: 1) for the treatment of poly (pentafisulfide), dialkyldithiocarbamate, dialkyl dithiocarbamate, Tribological study of lard cd-1 dithiophosphate was carried out. Five series of boron additives, such as sulfide-containing borate, nitroborate, calcium hexadecyl borate, octadecoxy nanometer calcium thioborate and octadecoxy azoboric acid calcium, were prepared by uniform design method. Phosphorus star, isobutene sulphide and triazole aliphatic salt were designed at the levels of 3 factors 7 and 5 factors 9 in the new pentyl polyol ester NPE-3, and the experimental results were optimized by artificial neural network method. The experimental verification and error analysis are also carried out to verify the accuracy of the preliminary test and to select a more optimized additive content ratio. The friction surface state and mechanism are analyzed by means of electron microscopy and energy dispersive spectroscopy. The tribological rules of boron series additives in neopentyl polyol ester (NPE-3) and the synergistic effect of boron series additives with traditional sulfur and phosphorus series additives in neopentyl polyol ester (NPE-3) were studied, and the lubrication mechanism was analyzed. The effect of pressure on the diameter of wear spot under different loads was studied. The effect of borate additive containing nitrogen on the composition and chemical state of friction surface film of steel ball was analyzed by scanning electron microscope (SEM) in order to reveal the mechanism of interaction between additives. The neural network model of tribological properties of various additives in neopentyl polyol ester (NPE-3) was established by using BP neural network theory. In the face of the requirement of environmental protection and the development trend of automobile gear lubrication, it is imperative to develop and develop environment-friendly automobile gear lubricating oil. It is of great significance to carry out the lubricating performance of environment-friendly automobile gear lubricating oil.
【学位授予单位】：沈阳理工大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：U473.6

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