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基于KZK方程的在线超声磨粒传感器的设计 被引量:3

Design of Online Ultrasonic Wear Debris Transducer Using KZK Equation
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摘要 针对超声磨粒传感器的设计问题,利用时域KZK方程对超声传感器的声场进行数值模拟,分析传感器的关键参数如晶片半径、焦距和中心频率等对声场的影响。仿真结果表明:传感器的焦距越大,聚焦声场的声压越小、焦斑增大;随着传感器晶片半径的增大,焦斑区域先减小后变大,焦点声压先增加后降低;传感器中心频率越高,焦斑越小,声压先增后降。对比分析发现,KZK方程计算结果与传统经验公式的计算结果有较大差别,在磨粒传感器设计时应予以考虑。 Aimed at the design of online ultrasonic wear debris transducer, time-domain KZK equation was utilized to simulate the sound field of ultrasonic transducer. The relationship between the sound field and the key transducer parameters, i.e. the radius, the focal length and the center frequency of transducer was analyzed. The simulation results show that the sound pressure is decreased and the focal spot is increased with the increase of the focal length of transducer. Along the increasing of transducer radius, the sound pressure is increased first and then de- creased, while the focal spot changes in opposite trend. Along the increasing of the center frequency, the focal spot tends to be smaller, and the sound pressure is increased first and then decreased. There is a great difference between the calculation results of the KZK and the empirical for- mula, which should be considered when designing ultrasonic wear debris transducer.
出处 《润滑与密封》 CAS CSCD 北大核心 2014年第4期28-33,共6页 Lubrication Engineering
基金 国家自然科学基金项目(51205405)
关键词 在线磨粒监测 超声波传感器 KZK方程 online wear debris monitoring ultrasonic transducer KZK equation
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参考文献10

  • 1Whitesel H K, Nordling D A, Nemarich C P. On-line wear parti- cle monitoring based on ultrasonic detection[ J]. In Tech, 1986, 33 (6) :53 -57.
  • 2Edmonds J, Resner M S, Shkarlet K. Detection of precursor wear debris in lubrication systems [ C ]//2000 IEEE Aerospace Con- ference Proceedings, Big Sky, MT,2000 : 73 - 77.
  • 3明廷锋,朴甲哲,张永祥,危蓉.超声波磨粒监测方法的研究[J].内燃机学报,2004,22(4):357-362. 被引量:13
  • 4张永祥,明廷锋,朴甲哲.超声磨粒监测传感器设计研究[J].海军工程大学学报,2002,14(4):28-31. 被引量:12
  • 5Bakhvalov N S, Zhileikin Y M, Zabolotskaya E A. Nonliear theo- ry of sound beams[ M]. New York: American Institute of Phys- ics, 1987.
  • 6Aanonsen S I, Barkve T, Tj~tta J N, et al. Distortion and har- monic generation in the nearfield of a finite amplitude sound beam [ J ]. Journal of the Acoustical Society of America, 1984,75 (3) : 749 - 768.
  • 7Christopher P T, Parker K J. New approaches to nonlinear dif- fractive field propagation [ J ]. Journal of the Acoustical Society of America, 1991,90 ( 1 ) : 488 -499.
  • 8Lee Y S. Numerical solution of the KZK equation for pulsed fi- nite amplitude sound beams in thermoviscous fluids [ D ]. Aus- tin : The University of Texas at Austin, 1993.
  • 9Lee Y S, Hamilton M F. Time-domain modeling of pulsed finite- amplitude sound beams [ J]. Journal of the Acoustical Society of America,1995,97 (2) : 906 -917.
  • 10Pestorius F M, Blackstock D T. Finite-amplitude wave effects in fluids [ M ]. Guildford, Surrey, England : IPC Science and Tech- nology Press, 1974.

二级参考文献10

  • 1Harries C J,Sayles R S,Macpherson P B.Research Into an On-Line Device for Monitoring Contamination in Fluids Using Ultrasonic Techniques[R].AD-A181 597,1984.
  • 2Whitesel H K,Nordling D A.Online Wear-Particle Monitoring Based on Ultrasonic Detection[J].In Tech, 1986,7:53-57.
  • 3O'Neil H T.Theory of Focusing Radiators[J].J Acoustic Soc Am,1949,21 (5):516-526.
  • 4仰德标.用超声波识别液体中颗粒的研究 [D]. 武汉:海军工程大学, 2000.
  • 5石阳.MATLAB语言精要及动态仿真工具SIMULINK [M]. 西安:西北工业大学出版社, 1995.
  • 6俞科云.[D].武汉:海军工程学院,1996.
  • 7仰德标.[D].武汉:海军工程大学,2000.
  • 8陈鹏 丰田利夫.遗传算法在故障诊断技术中的应用[R]..全国设备诊断技术学术会议论文集(CMDTC-97)[C].北京,1997.104-114.
  • 9张永祥,明廷锋,朴甲哲.超声磨粒监测传感器设计研究[J].海军工程大学学报,2002,14(4):28-31. 被引量:12
  • 10明廷锋,张永祥,朴甲哲.故障识别中并行组合模拟退火算法的应用[J].中国机械工程,2003,14(17):1496-1498. 被引量:4

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