基于微流控谐振式芯片的金属颗粒检测
作者:
作者单位:

大连海事大学轮机工程学院大连116026

中图分类号:

TP212.1;TN129

基金项目:

国家自然科学基金(51679022)、中央高校基本科研业务费专项资金(3132017013)资助项目


Detection of metal particles based on microfluidic resonant chip
Author:
Affiliation:

Marine Engineering College, Dalian Maritime University, Dalian 116026, China

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    摘要:

    液压系统中大部分的异常磨损是液压油中的金属颗粒造成的。通过检测这些金属颗粒可以及时预测故障并减少损失。由此设计了一种简单有效的液压油微小金属颗粒快速检测系统。基于LC谐振的原理进行金属颗粒检测,通过理论分析了检测的可行性;设计并制作了微流控检测芯片,芯片的流道为300 μm;在所搭建的检测系统上进行了金属颗粒计数检测。实验结果表明,在所有参数一致以及颗粒相同的情况下,谐振式芯片的颗粒检测的信噪比优于单线圈式检测芯片的信噪比。当激励频率高于谐振频率时,铁磁性颗粒通过检测区域输出信号的脉冲向上,当激励频率低于谐振频率时,铁磁性颗粒通过检测区域输出信号的脉冲向下,非铁磁性金属颗粒则相反。所设计的微流控检测芯片及其检测系统可实现金属颗粒的区分检测,在实验室条件下,最小可对50 μm的铁颗粒和110 μm的铜颗粒进行区分检测。

    Abstract:

    Most of the abnormal wear in the hydraulic system is caused by the metal particles in the hydraulic oil. By detecting these metal particles, the fault can be predicted on time and the loss can be reduced. A simple and effective hydraulic oil micrometal particle rapid detection system is designed. Based on the principle of LC resonance for metal particle detection and the feasibility of experiment is analyzed theoretically. Design and manufacture of microfluidic detection chip, the diameter of microchannel in the experiment is 300 μm. The metal particle counting test is carried out on the detection system. The experiment results show that the signaltonoise ratio of LC resonance detection chip is better than the single coil detection chip when all parameters are the same. When the excitation frequency is higher than the resonance frequency, the ferromagnetic particles passing the detection area will produce an upward pulse. When the excitation frequency is lower than the resonance frequency, the ferromagnetic particles passing the detection area will produce a downward pulse. And the nonferromagnetic metal particles are the opposite. The microfluidic chip and its system can be achieved to distinguish the detection of metal particles. In the experiment condition, a minimum of 50 μm of iron particle and 110 μm of copper particle can be achieved to distinguish the detection.

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虞子雷,张洪朋,曾霖,滕怀波.基于微流控谐振式芯片的金属颗粒检测[J].电子测量与仪器学报,2017,31(10):1627-1632

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  • 在线发布日期: 2017-12-04
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