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首页> 外文期刊>Tribology Transactions >Wear Condition Monitoring and Working Pattern Recognition of Piston Rings and Cylinder Liners Using On-Line Visual Ferrograph
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Wear Condition Monitoring and Working Pattern Recognition of Piston Rings and Cylinder Liners Using On-Line Visual Ferrograph

机译:在线视觉铁谱仪监测活塞环和缸套的磨损状态并识别工作模式

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摘要

This study applies stepped loading and stepped velocity approaches to simulate the actual working conditions of gasoline engines. Accelerated wear tests were conducted for piston rings and cylinder liners under different lubricating conditions by using a self-made pin-on-disc wear machine equipped with an on-line visual ferrograph (OLVF) for wear monitoring. The wear coefficients for oil monitoring were extracted to distinguish between constant conditions and stepped changing conditions. A similarity model for oil monitoring was constructed and the monitoring data sets of similar working conditions were grouped together. Results show that the OLVF monitoring system can be used to obtain the real-time variation in debris concentration. The index of particle coverage area (IPCA) of OLVF increases abruptly after the load or speed changes. The similarity model can evaluate the similarity of the variation trend of IPCA under different operating conditions. The relationship between IPCA and working conditions was examined in this study and provides an essential support to wear monitoring and life prediction of engines.
机译:本研究采用步进加载和步进速度方法来模拟汽油发动机的实际工作条件。通过使用配备有在线视觉铁谱仪(OLVF)的磨损监测的自制针盘式磨损机,在不同的润滑条件下对活塞环和气缸套进行了加速磨损测试。提取用于机油监测的磨损系数,以区分恒定条件和阶跃变化条件。建立了石油监测的相似模型,并将相似工作条件的监测数据集组合在一起。结果表明,OLVF监控系统可用于获取碎片浓度的实时变化。负载或速度变化后,OLVF的粒子覆盖面积指数(IPCA)突然增加。相似度模型可以评估不同操作条件下IPCA变化趋势的相似度。这项研究检查了IPCA与工作条件之间的关系,并为发动机的磨损监测和寿命预测提供了必要的支持。

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