机油中痕量磨损金属元素的间接烧蚀LIBS探测研究

发布时间：2018-05-18 14:33

本文选题：机油磨损元素 + 间接烧蚀激光诱导击穿光谱　；参考：《光谱学与光谱分析》2017年09期

【摘要】：机油在发动机的运转过程中具有非常重要的作用。发动机的运转,会使机油的成分和元素含量发生变化,导致机油变质,进而加剧发动机的磨损,探寻一种快速有效的机油性能检测手段,则是防止发生事故的重要前提。间接烧蚀激光诱导击穿光谱技术(IA-LIBS)是针对机油样品提出的一种全新检测方法,其核心是基于金属基底产生的高温等离子体间接烧蚀样品,在保持了LIBS基本特点的基础上,提高了样品检测灵敏度和稳定性。在前期研究基础上,以机油中Mg、Fe和Ni为目标元素,分析了不同类型机油中的基体效应对其定量分析结果的影响,表明不同油种之间的基体效应对目标元素的定标曲线影响甚小,可忽略;同时建立了目标分析元素的综合定标曲线,拟合线性系数达到了0.99以上。通过对现场机油中添加的已知浓度的目标元素的检测,IA-LIBS分析结果与实际值吻合较好,准确度均低于5%。该研究完善了IA-LIBS的方法研究,为以后评价机油的性能提供了依据,对于诊断发动机的磨损状况具有重要的科学意义。
[Abstract]:Oil plays a very important role in the running of engine. The running of engine will change the composition and element content of engine oil, cause oil deterioration, and then aggravate the wear and tear of engine. It is an important prerequisite to prevent accidents by exploring a fast and effective testing method of oil performance. Indirect ablative laser-induced breakdown spectroscopy (IA-Libs) is a new detection method for oil samples. Its core is the indirect ablation of samples based on high temperature plasma produced by metal substrates, which maintains the basic characteristics of LIBS. The sensitivity and stability of the sample are improved. On the basis of previous research, the effect of matrix effect in different types of oil on the quantitative analysis results was analyzed, taking MgPe Fe and Ni in oil as target elements. The results showed that the matrix effect between different oil types had little effect on the calibration curve of target elements. At the same time, the comprehensive calibration curve of the target analysis elements is established, and the fitting linear coefficient is above 0.99. The results of IA-LIBS analysis are in good agreement with the actual values, and the accuracy is lower than 5%. The research improves the method of IA-LIBS, and provides the basis for evaluating the performance of engine oil in the future. It is of great scientific significance to diagnose the wear condition of engine.
【作者单位】：山东理工大学理学院;山东理工大学化学工程学院;
【基金】：国家自然科学基金项目(11404191) 山东省自然科学基金项目(ZR2016AQ22)资助
【分类号】：O657.3;TE626.3

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