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用于发动机油评估的水平剪切表面声波传感器的可行性研究。

Feasibility Study on Shear Horizontal Surface Acoustic Wave Sensors for Engine Oil Evaluation.

作者信息

Kobayashi Saya, Kondoh Jun

机构信息

Graduate School of Integrated Science and Technology, Shizuoka University, Hamamatsu-shi 432-8561, Japan.

Graduate School of Science and Technology, Shizuoka University, Hamamatsu-shi 432-8561, Japan.

出版信息

Sensors (Basel). 2020 Apr 12;20(8):2184. doi: 10.3390/s20082184.

DOI:10.3390/s20082184
PMID:32290628
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7218720/
Abstract

On site monitoring of engine oil is required. The features of a shear horizontal surface acoustic wave (SH-SAW) sensor include simultaneous detection of mechanical and electrical properties of liquids (such as viscosity, relative permittivity, and conductivity) and loaded mass on the sensor surface. In this paper, the used engine oil extracted from a motorbike was measured using the SH-SAW sensor. The degradation factors of the used engine oil were experimentally discussed. Especially, the influences of the particles in the engine oil, heating effect, and water contained in the engine oil were considered by comparing the differences between new and used engine oils. The results indicate that the influence of the water contained in the engine oil is the primary cause of the degradation of the used engine oil.

摘要

需要对发动机油进行现场监测。剪切水平表面声波(SH-SAW)传感器的特点包括能够同时检测液体的机械和电学性质(如粘度、相对介电常数和电导率)以及传感器表面的负载质量。在本文中,使用SH-SAW传感器对从摩托车中提取的用过的发动机油进行了测量。通过实验讨论了用过的发动机油的降解因素。特别是,通过比较新油和用过的油之间的差异,考虑了发动机油中的颗粒、热效应和所含水分的影响。结果表明,发动机油中所含水分的影响是用过的发动机油降解的主要原因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/76ccdccf3086/sensors-20-02184-g014.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/4a9caa662cc5/sensors-20-02184-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/2d1b422f9ad7/sensors-20-02184-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/ee18dad6c94d/sensors-20-02184-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/c040e1ac0b79/sensors-20-02184-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/3a7055dc7065/sensors-20-02184-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/76ccdccf3086/sensors-20-02184-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/8fca62009fe8/sensors-20-02184-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/527a82f85e91/sensors-20-02184-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/e5680476f187/sensors-20-02184-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/bb7096c8691c/sensors-20-02184-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/60d5f432ea28/sensors-20-02184-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/999a122bc0d2/sensors-20-02184-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/33b02917320f/sensors-20-02184-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/6f811a9d6912/sensors-20-02184-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/6838e52ce77b/sensors-20-02184-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/4a9caa662cc5/sensors-20-02184-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/2d1b422f9ad7/sensors-20-02184-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/ee18dad6c94d/sensors-20-02184-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/c040e1ac0b79/sensors-20-02184-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/3a7055dc7065/sensors-20-02184-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b23/7218720/76ccdccf3086/sensors-20-02184-g014.jpg

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