Purpose

The presence of ferrous wear debris in lubricating oil may cause progressive damage in the internal combustion engines. Online monitoring of the size and concentration of these particles in the oil is a way to optimize the engine performance and its life cycle.

Design/methodology/approach

In this study, an online sensor was designed and fabricated to identify ferrous wear particles in the engine oil based on the induction method. The diameter of the sensor outlet duct was designed as small as possible to generate a high-intensity magnetic induction and achieve a proper sensitivity in the sensor. The experiments were designed and performed in offline mode. Furthermore, to evaluate the actual performance of the sensor in presence of iron particles in the oil, online tests were performed at different sizes and concentrations.

Findings

It was concluded from offline tests that the highest sensitivity of the sensor occurs at the frequency and voltage of 2.5 kHz and 120 V, respectively. According to the results of the online tests, the larger the particle size, the higher the peaks at the sensor output. Also, a high density of the peaks was observed in the sensor output graphs as the concentration of particles was increased.

Originality/value

The proposed sensor was able to identify ferrous wear particles larger than 125 µm separately, which is the failure limit in the internal combustion engines.

中文翻译：

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一种用于识别发动机油中铁质磨损颗粒的在线电感式传感器的设计与制造

目的

润滑油中含铁磨损碎屑的存在可能会导致内燃机逐渐损坏。在线监测油中这些颗粒的大小和浓度是优化发动机性能及其生命周期的一种方式。

设计/方法/方法

在这项研究中，设计并制造了一个在线传感器，用于基于感应方法识别发动机油中的铁质磨损颗粒。传感器出口管道的直径设计得尽可能小，以产生高强度的磁感应并在传感器中实现适当的灵敏度。实验是在离线模式下设计和进行的。此外，为了评估油中存在铁颗粒时传感器的实际性能，在不同尺寸和浓度下进行了在线测试。

发现

离线测试得出的结论是，传感器的最高灵敏度分别出现在 2.5 kHz 和 120 V 的频率和电压下。根据在线测试的结果，粒径越大，传感器输出的峰值越高。此外，随着颗粒浓度的增加，在传感器输出图中观察到高密度的峰值。

原创性/价值

所提出的传感器能​​够分别识别大于 125 µm 的铁质磨损颗粒，这是内燃机的故障极限。