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电感式磨粒在线监测传感器灵敏度提高方法
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Sensitivity Improvement Method of On-line Inductive Wear Particles Monitor Sensor
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    摘要:

    电感式磨损颗粒在线监测传感器的研究所面临的主要瓶颈是传感器灵敏度与孔径之间存在矛盾,灵敏度较高的传感器一般采用微流道结构(孔径<1 mm),最大允许流量小;而大孔径的传感器其灵敏度较低.为满足重型机械磨损状态在线监测的需求,研究了大孔径(7 mm)的电感式磨粒监测传感器灵敏度提高方法.提出使传感器工作于全谐振状态,其中激励线圈工作于并联谐振状态,感应线圈工作于串联谐振状态,共同增强颗粒引起的传感器输出感应电动势.检测机理上建立了交变磁场中金属颗粒对磁场的扰动模型,考虑了颗粒在交变磁场中的涡流效应,提高了模型的实用性.实验表明谐振原理极大地提高了传感器的灵敏度,实现了直径75 μm铁磁性颗粒和220 μm非铁磁性颗粒的有效检测,初步满足了重型机械设备初期异常磨损阶段的在线监测需求.

    Abstract:

    The main technical bottleneck in the research of on-line inductive wear particles monitoring sensor lies in the contradiction between the sensor sensitivity and channel diameter. The sensor with high sensitivity generally adopts the micro-flow channel structure, leading to a small maximum allowable flow rate, while the sensor with large channel diameter has markedly lower sensitivity. To satisfy the requirements of online wear condition monitoring of heavy machinery, the sensitivity improvement method of large aperture inductive abrasive particle sensor is studied. It is proposed to make the sensor work in full resonance state, in which the excitation coil works in the parallel resonance state and the induction coil works in the series resonance state so as to jointly enhance the sensor output induced electromotive force caused by the wear particles. For the detection mechanism, a perturbation model of magnetic field caused by wear debris in the alternating magnetic field is established, which considers the eddy current effect of particles in alternating magnetic field and improves the practicability of the model. The experimental results show that the resonance mechanism largely increases the sensitivity of the sensor, which can successfully detect up to 75 μm ferromagnetic particles and 220 μm non-ferromagnetic particles, and satisfy the online monitoring requirements of initial abnormal wear stage of the heavy machineries.

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贾 然, 马 彪, 郑长松 ,王立勇,杜 秋, 王 凯.电感式磨粒在线监测传感器灵敏度提高方法[J].湖南大学学报:自然科学版,2018,45(4):129~137

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  • 在线发布日期: 2018-04-26
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