A high sensitive multi-parameter micro sensor for the detection of multi-contamination in hydraulic oil

被引:33
作者
Zeng, Lin [1 ]
Yu, Zilei [1 ]
Zhang, Hongpeng [1 ]
Zhang, Xingming [2 ]
Chen, Haiquan [1 ]
机构
[1] Dalian Maritime Univ, Marine Engn Coll, Dalian 116026, Peoples R China
[2] Harbin Inst Technol, Sch Naval Architecture & Ocean Engn, Weihai 264209, Peoples R China
关键词
Multi-parameter detection; Impedance sensor; Silicon steel sheet; Microfluidic chip; INDUCTIVE PROXIMITY SENSOR; WEAR DEBRIS;
D O I
10.1016/j.sna.2018.09.023
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A high sensitive multi-parameter micro sensor consisted of a microfluidic chip and a sensing unit is presented. The sensing unit, which composed of a dual-coil and two silicon steel sheets, is embedded in the simple microfluidic chip with a straight microchannel structure. The micro sensor can be used not only as an inductive sensor to distinguish between ferromagnetic and non-ferromagnetic metal particles, but also as a capacitive sensor to distinguish between water droplets and bubbles in hydraulic oil. The simulation results show that both the magnetic field and the electric field of the sensing unit are enhanced under the effect of the silicon steel sheets. In the experiments, the number of turns of the coil was optimized first, and then the comparative experimental results show that the detection amplitudes of both iron and copper particles were increased about four times compare with the sensing unit without silicon steel sheets, which verified the simulation results. Using the simple micro sensor, without any complicated external circuits, in the inductance detection experiments, we demonstrate the successful detection of 33 p.m iron particles and 90 in copper particles in hydraulic oil; and in the capacitance detection experiments, we can detect 100 p,m water droplets and 180 pm bubbles in hydraulic oil. For both the inductance and capacitance detection, the results of particles with different sizes were in good agreement with the simulation results. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:197 / 205
页数:9
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