Closer-to-reality artificial ageing of engine oils with implemented nitration

A. Agocs, C. Besser, M. Frauscher
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Abstract

Internal combustion engine development is predominantly focusing on emission aspects, where improvements are often achieved by turbocharged engines and higher compression ratios. These trends combined with increasingly higher oil change intervals require increasing stability of engine oils, especially since lubricant condition and tribological performance are strongly interrelated. Various artificial alteration methods have been developed to simulate lubricant degradation in the laboratory, however, nitration as a degradation mechanism is often not considered in standardized tests. Nitration is especially relevant, as it might be tied to emission values and petrol and diesel passenger vehicles show significant differences in this regard. Furthermore, the provision of close-to-reality, defined and reproducible test oils in large quantities are necessary to be able to perform component bench tests or engine dynamometer tests which can reliably predict on performance and lifetime of engine components. This study presents a novel artificial alteration method, where test oils can be produced for engine dynamometer testing or component testing during the development phase. This method is capable of close-to-reality simulation of additive degradation, nitration, oxidation, and various further degradation steps of engine oils in batches up to 200 l. Comparability of various chemical parameters of used oils from a modern turbocharged gasoline passenger car with the artificially altered oils is demonstrated
更接近现实的人工老化与实施硝化发动机油
内燃机的发展主要集中在排放方面,在这方面,涡轮增压发动机和更高的压缩比通常可以实现改进。这些趋势加上越来越长的换油间隔,要求发动机机油的稳定性越来越高,特别是因为润滑油状况和摩擦学性能密切相关。在实验室中,人们已经开发了各种人工改变方法来模拟润滑油的降解,然而,在标准化测试中,硝化作为一种降解机制往往没有被考虑。硝化作用尤其重要,因为它可能与排放值有关,而汽油和柴油乘用车在这方面表现出很大的差别。此外,为了能够进行部件台架试验或发动机测力机试验,可靠地预测发动机部件的性能和寿命,需要大量提供接近实际的、明确的和可重复的试验油。本研究提出了一种新的人工改造方法,即在研制阶段生产试验油用于发动机测力机试验或部件试验。该方法能够接近真实地模拟添加剂降解、硝化、氧化和各种进一步降解步骤,批量最多可达200升。演示了现代涡轮增压汽油乘用车废油与人工改变机油的各种化学参数的可比性
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