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高通量磨粒图像在线监测传感器设计与应用

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研制了一款用于实验教学的高通量磨粒图像在线监测传感器.传感器由能够产生环形磁场的电磁铁、环形流道及两个CMOS成像模块构成,可实现 100 mL/min高通量下磨粒的宏观特征(浓度)和微观特征(尺寸、尺寸分布、形状)成像监测.基于此传感器,开展了齿轮箱全寿命周期磨损故障监测实验,并进行了实验教学典型案例分析.实验过程中,综合利用传感器监测到的宏观特征和微观特征对齿轮箱的磨损状态进行判别,并将磨损机理知识应用于实际故障监测,提高了学生在复杂工程背景下分析和解决问题的能力,为培养具备实践和创新能力的专业人才提供了有力支持.
Design and Application of a High-throughput Wear Particle Image Online Monitoring Sensor
This paper presents the design and development of a high-throughput wear particle image online monitoring sensor for experimental teaching.The sensor consists of an electromagnet capable of generating a ring-shaped magnetic field,an annular flow channel,and an imaging module containing two CMOS sensors.It enables the imaging and monitoring of the macroscopic characteristics(concentration)and microscopic characteristics(size,size distribution,shape)of wear particles at a high-throughput rate of 100 mL/min.Based on this sensor,a full lifecycle wear fault monitoring experiment of the gearbox is conducted,along with an analysis of typical case studies for experimental teaching.During the experiment,both macroscopic and microscopic features detected by the sensor are comprehensively utilized to assess the wear condition of the gearbox.Knowledge of wear mechanisms is applied to actual fault monitoring,enhancing students'ability to analyze and solve problems in complex engineering contexts.This provides strong support for cultivating professionals with practical and innovative abilities.

lubricating oilwear particle sensorwear mechanismfault diagnosis

聂延艳、王黎明、李方义、栾晓娜、方洋、李剑峰

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山东大学工程训练中心,济南 250002

山东大学机械工程学院,济南 250061

山东大学高效洁净机械制造教育部重点实验室,济南 250061

润滑油 磨粒传感器 磨损机理 故障诊断

2024

实验室研究与探索
上海交通大学

实验室研究与探索

CSTPCD北大核心
影响因子:1.69
ISSN:1006-7167
年,卷(期):2024.43(12)