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大连海事大学 轮机工程学院,辽宁 大连 116026
[ "史皓天(1996-),男,甘肃会宁人,博士研究生,2017年于大连海事大学获得学士学位,主要研究方向为机电一体化,液压油污染物检测和微流体检测技术。E-mail:dmu6hao@163.com" ]
收稿日期:2019-04-29,
录用日期:2019-6-3,
纸质出版日期:2019-09-15
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史皓天, 王文琪, 孙广涛, 等. 高精度磨粒检测传感器的设计及研究[J]. 光学 精密工程, 2019,27(9):2043-2052.
Hao-tian SHI, Wen-qi WANG, Guang-tao SUN, et al. Design and research of high-sensitivity wear debris detection sensor[J]. Optics and precision engineering, 2019, 27(9): 2043-2052.
史皓天, 王文琪, 孙广涛, 等. 高精度磨粒检测传感器的设计及研究[J]. 光学 精密工程, 2019,27(9):2043-2052. DOI: 10.3788/OPE.20192709.2043.
Hao-tian SHI, Wen-qi WANG, Guang-tao SUN, et al. Design and research of high-sensitivity wear debris detection sensor[J]. Optics and precision engineering, 2019, 27(9): 2043-2052. DOI: 10.3788/OPE.20192709.2043.
为了提高电感检测传感器对于非铁磁性金属磨粒的检测精度,提出了一种可实现电感和电阻参数检测的磨粒检测传感器。所设计的传感器主要由紧密贴合的环状硅钢片和平面电感线圈构成,硅钢片的加入增强了检测区域的磁场强度,使得金属颗粒的磁化效应和涡流效应更加剧烈,从而提高了电感和电阻检测精度。通过对比实验发现,环状硅钢片在提升检测精度的同时,并未增加电感及电阻检测信号的噪声;且电感检测和电阻检测都对铁磁性金属颗粒具有更强的检测能力;对于铁磁性金属颗粒,电感检测更为有效;但对于非铁磁性金属颗粒,电阻检测更为有效。将电感检测结果和电阻检测结果相结合,则可使用20匝的平面电感线圈实现对55
μ
m铁颗粒和115
μ
m铜颗粒的检测。本文提出的磨粒检测传感器可为液压油污染物的在线监测提供了技术支持。
A wear debris detection sensor used to detect inductance and resistance parameters was presented
which could improve the detection sensitivity of the inductive sensor for nonferromagnetic metal particles. The designed sensor mainly consisted of a ring silicon steel sheet and planar coil. The silicon steel sheet enhanced the magnetic field strength of the detection region
making the magnetization effect and eddy current effect of the metal particles more intense
thereby improving the sensitivity of inductance and resistance detection. Through comparative experiments
it was found that the ring silicon steel sheet does not increase the noise of the inductance and resistance detection signals; and both the inductance and resistance detection capability are stronger for ferromagnetic metal particles. For ferromagnetic metal particles
inductance detection is more effective; for nonferromagnetic metal particles
resistance detection is more effective. By combining the inductance detection and resistance detection results
55
μ
m iron particles and 115
μ
m copper particles can be detected using a planar coil with 20 turns. The wear debris sensor provides technical support for online monitoring of hydraulic oil contaminants.
ASRAR N, NICKERSON W. Failure of drilling tools due to degradation of hydraulic Oils[J]. Materials Performance , 2015, 54(4):60-64.
刘银, 曾立文, 喻莉英, 等.一种液压油污染物净化器的设计与研究[J].机床与液压, 2011, 39(18): 69-71.
LIU Y, ZENG L W, YU L Y, et al .. Design and study of a kind of hydraulic oil purifier[J]. Machine Tool & Hydraulics , 2011, 39(18): 69-71.(in Chinese)
ZHU X L, ZHONG C, ZHE J. Lubricating oil conditioning sensors for online machine health monitoring - A review[J]. Tribology International , 2017, 109: 473-484.
范红波, 张英堂, 陶凤和, 等.铁磁质磨粒形态对电感式磨粒传感器输出特性的影响[J].传感技术学报, 2009, 22(10): 1401-1405.
FAN H B, ZHANG Y T, TAO F H, et al .. Effect of the ferromagnetic wear debris morphology on the output characteristic of inductive wear debris sensor[J]. Chinese Journal of Sensors and Actuators , 2009, 22(10): 1401-1405.(in Chinese)
董志磊, 潘燕, 王月行, 等.液压油污染度和水分含量在线检测研究[J].润滑与密封, 2015, 40(7): 129-132.
DONG ZH L, PAN Y, WANG Y X, et al .. Study on continuous measurements of contaminant level and water content in hydraulic oil[J]. Lubrication Engineering, 2015, 40(7): 129-132.(in Chinese)
GUREEV A A, POPOVA N N, NIZ'EVA O S, et al .. Effect of water contamination on aging of hydraulic oil[J]. Chemistry and Technology of Fuels and Oils , 1992, 28(12): 674-677.
张兴明, 张洪朋, 陈海泉, 等.微流体油液检测芯片分辨率-频率特性研究[J].仪器仪表学报, 2014, 35(2): 427-433.
ZHANG X M, ZHANG H P, CHEN H Q, et al .. Study on the resolution-frequency characteristic of microfluidic oil detection chip[J]. Chinese Journal of Scientific Instrument , 2014, 35(2): 427-433.(in Chinese)
DU L, ZHE J, CARLETTA J E, et al .. Inductive Coulter counting: detection and differentiation of metal wear particles in lubricant[J]. Smart Materials and Structures , 2010, 19(5): 057001.
刘恩辰, 张洪朋, 吴瑜, 等.油液过流速度对船舶液压油检测精度的影响[J].光学 精密工程, 2016, 24(3): 533-539.
LIU E CH, ZHANG H P, WU Y, et al .. Effect of oil velocity on sensitivity of micron metal particle detection by inductive sensor[J]. Opt. Precision Eng ., 2016, 24(3): 533-539.(in Chinese)
范红波, 张英堂, 陶凤和, 等.铁磁质磨粒形态对电感式磨粒传感器输出特性的影响[J].传感技术学报, 2009, 22(10): 1401-1405.
FAN H B, ZHANG Y T, TAO F H, et al .. Effect of the ferromagnetic wear debris morphology on the output characteristic of inductive wear debris sensor[J] . Chinese Journal of Sensors and Actuators , 2009, 22(10): 1401-1405.(in Chinese)
吴瑜, 张洪朋, 王满, 等.基于空间微螺线管的金属颗粒检测研究[J].仪器仪表学报, 2016, 37(3): 698-705.
WU Y, ZHANG H P, WANG M, et al .. Research on the metallic particle detection based on spatial micro coil[J]. Chinese Journal of Scientific Instrument , 2016, 37(3): 698-705.(in Chinese)
王强, 张洪朋, 张剑锋, 等.用于微流体油液检测芯片的电阻检测法[J].光学 精密工程, 2015, 23(10z): 342-347.
WANG Q, ZHANG H P, ZHANG J F, et al .. Resistance detection method for microfluidic oil detection chip[J]. Opt. Precision Eng ., 2015, 23(10z): 342-347.(in Chinese).
殷勇辉, 严新平, 萧汉梁.光纤油液污染监测传感器设计[J].仪表技术与传感器, 2006(11): 3-4.
YIN Y H, YAN X P, XIAO H L. Development on optic-fiber transducer in oil contamination monitoring[J]. Instrument Technique and Sensor, 2006(11): 3-4.(in Chinese)
WANG Y S, ZHANG M J, LIU D F. A compact on-line particle counter sensor for hydraulic oil contamination detection[J]. Applied Mechanics and Materials , 2011, 130-134: 4198-4201.
李钰洁, 王长湖, 田洪祥.润滑油含水率检测电容传感器的设计及实验研究[J].润滑与密封, 2011, 36(9): 107-110, 113.
LI Y J, WANG CH H, TIAN H X. The design and experimental study of capacitive sensors for measuring water content in lubricating oil[J]. Lubrication Engineering, 2011, 36(9): 107-110, 113.(in Chinese)
YANG Z C, DONG T, JENSEN A, et al .. Integratable capacitive sensor for identification of microfluidic two-phase flow patterns in lab-on-chip devices[J]. Journal of Microelectromechanical Systems , 2016, 25(1): 197-206.
张洪朋, 滕怀波, 曾霖, 等.电感-电容式微流体油液检测芯片设计[J].光学 精密工程, 2017, 25(10):104-112.
ZHANG H P, TENG H B, ZENG L, et al .. Design of inductance-capacitance microfluidic oil detection chip[J]. Opt. Precision Eng ., 2017, 25(10):104-112(in Chinese).
ZHU X L, DU L, ZHE J. An integrated lubricant oil conditioning sensor using signal multiplexing[J]. Journal of Micromechanics and Microengineering , 2015, 25(1): 015006.
APPLEBY M, CHOY F K, DU L, et al. Oil debris and viscosity monitoring using ultrasonic and capacitance/inductance measurements[J]. Lubrication Science, 2013, 25(8):507-524.
DU L, ZHE J. A high throughput inductive pulse sensor for online oil debris monitoring[J]. Tribology International , 2011, 44(2): 175-179.
曾霖, 张洪朋, 赵旭鹏, 等.液压油污染物双线圈多参数阻抗检测传感器[J].仪器仪表学报, 2017, 38(7): 1690-1697.
ZENG L, ZHANG H P, ZHAO X P, et al .. Double coil multi-parameter impedance sensor for hydraulic oil pollutants detection[J]. Chinese Journal of Scientific Instrument, 2017, 38(7): 1690-1697.(in Chinese)
刘晓琳, 施洪生.三线圈内外层电感磨粒传感器研究[J].传感器与微系统, 2014, 33(11): 12-15.
LIU X L, SHI H SH. Research on three-coil inner and outer layer inductive wear particle sensor[J]. Transducer and Microsystem Technologies , 2014, 33(11): 12-15.(in Chinese)
ZILEI YU, LIN ZENG, HONGPENG ZHANG. Frequency Characteristic of Resonant Micro Fluidic Chip for Oil Detection Based on Resistance Parameter. 2018, 9(7).
DU, L, ZHU X L, HAN Y, ZHAO L, et al .. Improving sensitivity of an inductive pulse sensor for detection of metallic wear debris in lubricants using parallel LC resonance method. Measurementence & Technology, 2013, 24(7): 660-664.
徐涛, 许琢, 韩娇.三线圈电感式滑油磨屑传感器检测电路设计[J].测控技术, 2016, 35(8): 132-137.
XU T, XU ZH, HAN J. Detection circuit design for the lubrication debris inductive sensor with three coils[J]. Measurement & Control Technology , 2016, 35(8): 132-137.(in Chinese)
BOZCHALOOI I S, LIANG M. In-line identification of oil debris signals: an adaptive subband filtering approach[J]. Measurement Science & Technology , 2010, 21(1):015104.
LUO J, YU D, LIANG M. Enhancement of oil particle sensor capability via resonance-based signal decomposition and fractional calculus[J]. Measurement, 2015, 76:240-254.
史皓天, 张洪朋, 顾长智, 等.液压油污染物多参数检测传感器[J].仪器仪表学报, 2018, 39(11): 172-179.
SHI H T, ZHANG H P, GU CH ZH, et al .. Multi-parameter sensor for hydraulic oil pollutant[J]. Chinese Journal of Scientific Instrument , 2018, 39(11): 172-179.(in Chinese)
张兴明.时谐磁场金属颗粒磁化特性及微流体油液检测机理研究[D].大连: 大连海事大学, 2014.
ZHANG X M. Study on Metal Particle Magnetization in Harmonic Field and Mechanism of Microfluidic Oil Detection [D]. Dalian: Dalian Maritime University, 2014.(in Chinese)
高萍.油液中金属颗粒检测技术研究[D].济南: 济南大学, 2016.
GAO P. Research on Monitoring Technology of Metal Wear Particle in Oil Fluid [D]. Jinan: University of Jinan, 2016. (in Chinese)
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