设计一种基于电感检测原理实现金属颗粒区分检测的微流体计数芯片.应用电磁学理论对检测机理进行研究, 得出该芯片输出信号与颗粒几何特性以及芯片几何特性的关系式, 并用该关系式对该芯片的精度进行详细分析.对100 μm铁质颗粒以及150 μm铜颗粒在不同流动状态下电感峰值变化量与数值计算进行验证对比.结果表明,曲线符合度良好.该方式对颗粒检测以及区分可行并验证该理论基本正确, 为进一步开发高精度微流体油液检测芯片提供了理论支持.
Abstract
This paper described a microfluidic counting chip which can realize the metal debris detection based on the principle of inductance detection. Electromagnetic theory was used to study the detection mechanism, the relationship between output signal of chip and particle geometric characteristics, and the chip geometric characteristics were known. Then a detailed analysis was conducted to the chip accuracy using the relationship. The experiments confirmed the curves fit well by comparing peak change in inductance and numerical calculation under different flow conditions of 100 μm iron particles and 150 μm copper particles. The proposed method for particles detection and discrimination is feasible, which can provide theoretical support for the further development of high precision microfluidic oil detection chip.
关键词
微流体芯片 /
金属颗粒检测 /
平面电感
Key words
microfluidic chip /
metal debris detection /
planar spiral inductors
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参考文献
[1]TUCKER J E, GALIE T R, SCHULTZ A, et al. LASERNET FINES optical wear debris monitor: a navy shipboard evaluation of CBM enabling technology [C]// ?54th, Society for Machinery Failure Prevention Technology,2000: 191-202.
[2]ZHANG Hong-peng, CHAN Hee Chon, PAN Xinxiang, et al. Methods for counting particles in microfluidic applications[J]. Microfluid Nanofluid, 2009,7:739–749.
[3]颜佳,吴敏渊. 遮挡环境下采用在线Boosting的目标跟踪[J]. 光学精密工程,2012,20(2):439-446.
YAN Jia, WU Min-yuan. On-line boosting based target tracking under occlusion [J]. Opt Precision Eng, 2012, 20(2): 439-446. (in Chinese)
[4]EDMONDS J, RESNER M S , SHKARLET K. Detection of precursor wear debris in lubrication systems [C]//2000 IEEE Aerosp Conf Proc, 2009,6:73-77.
[5]ZHANG J, DRINKWATER B W , BWYERJOYCE R S. Monitoring of lubricant film failure in a ball bearing using ultrasound [J]. J Tribol, 2006,128:612-618.
[6]LIU Y, LIU Z, XIE Y , et al. Research on an online wear condition monitoring system for marine diesel engine [J]. Tribol Int, 2009,33(12):829-835.
[7] RAADNUI S , KLEESUWAN S. Low cost condition monitoring for used oil analysis[J]. Wear, 2009, 259:1502-1506.
[8] 范红波, 张英堂, 李志宁,等.电感式磨粒传感器中铁磁质磨粒的磁特性研究[J].摩擦学学报, 2009, 29(5):452-457.
FAN Hong-bo, ZHANG Ying-tang, LI Zhi-ning, et al. Study on magnetic characteristic of ferromagnetic wear debris in inductive wear debris sensor [J]. Tribology,2009, 29(5):452-457 (in Chinese)
[9] 杨平, 施克仁, 张英堂.便携油液金属物质直读仪的低噪声设计[J].仪器仪表学报,2005,26(7):754-756.
YANG Ping, SHI Ke-ren, ZHANG Ying-tang. Lownoise design of the portable metal particle monitor for oil analysis [J]. Chinese Journal of Scientific Instrument, 2005,26(7):754-756. (in Chinese)
[10] MILLER J L ,KITALJEVICH D. Inline oil debris monitor for aircraft engine condition assessment[C]// 2000 IEEE Aerosp Conf Proc, 2000,6:49-56.
[11] STOLL R L. The analysis of eddy currents [M]. Oxford: Clarendon Press, 1974:110-120.
[12] 张之敬,杜芳,金鑫,等. 微小尺寸零件复杂边缘识别算法[J]. 光学精密工程,2009,17(2):356-361.
ZHANG Zhi-jing, DU Fang,JIN Xin, et al. Complex edge recognition algorithm of microaccessory[J]. Opt Precision Eng, 2009, 17(2): 356-361. (in Chinese)
[13] 卡兰塔罗夫.电感计算手册[M].陈汤铭 译.北京:机械工业出版社,1992.
[14] 吴晓波,安问斗,杨钢.图像测量系统中的误差分析即提高测量精度的途径[J]. 光学精密工程,1997,5(1):133-141.
WU Xiao-bo, AN Wen-dou, YANG Gang. Error analysing and approaches of improving measuring precision in image measuring system [J]. Opt Precision Eng, 1997, 5(1): 133-141. (in Chinese)
基金
国家自然科学基金资助项目(51205034, 51109021);辽宁省教育厅科学研究项目(L2012179); 交通运输部科技项目(2013329225260)