Advanced algorithms for microscale particle image velocimetry

被引:120
|
作者
Wereley, ST [1 ]
Gui, L
Meinhart, CD
机构
[1] Purdue Univ, Dept Mech Engn, W Lafayette, IN 47907 USA
[2] Univ Calif Santa Barbara, Dept Mech & Environm Engn, Santa Barbara, CA 93106 USA
关键词
D O I
10.2514/2.1786
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The recent explosive increase in the use of fluidic microelectromechanical systems (MEMS) has subsequently driven the development of fluidic measurement techniques capable of measuring velocities at length scales small enough to be of use in characterizing and optimizing these new devices. Recently, several techniques have demonstrated spatial resolutions smaller than 100 mum but larger than 10 mum. These techniques include x-ray microimaging, molecular tagging velocimetry, and microlaser Doppler velocimetry. However, measurements with spatial resolutions smaller than 10 mum are necessary for making measurements in many MEMS applications. Only micro-particle image velocimetry has demonstrated this high spatial resolution, By the use of a combination of advanced imaging and processing techniques that are described here, spatial resolutions on the order of single micrometers can be achieved. These techniques are used to investigate the flow though a microfabricated thruster geometry.
引用
收藏
页码:1047 / 1055
页数:9
相关论文
共 50 条
  • [21] Powder dispersion mechanisms within a dry powder inhaler using microscale particle image velocimetry
    Kou, Xiang
    Wereley, Steven T.
    Heng, Paul W. S.
    Chan, Lai Wah
    Carvajal, M. Teresa
    INTERNATIONAL JOURNAL OF PHARMACEUTICS, 2016, 514 (02) : 445 - 455
  • [22] Assessment of advanced windowing techniques for digital particle image velocimetry (DPIV)
    Eckstein, Adric
    Vlachos, Pavlos P.
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2009, 20 (07)
  • [23] Experimental uncertainties associated with particle image velocimetry (PIV) based vorticity algorithms
    J. D. Luff
    T. Drouillard
    A. M. Rompage
    M. A. Linne
    J. R. Hertzberg
    Experiments in Fluids, 1999, 26 : 36 - 54
  • [24] Experimental uncertainties associated with particle image velocimetry (PIV) based vorticity algorithms
    Luff, JD
    Drouillard, T
    Rompage, AM
    Linne, MA
    Hertzberg, JR
    EXPERIMENTS IN FLUIDS, 1999, 26 (1-2) : 36 - 54
  • [25] Comparison between interpolation algorithms for post processing of particle image velocimetry data
    Wang, J
    Barnes, F
    Gray, C
    INTERNATIONAL SEMINAR ON OPTICAL METHODS AND DATA PROCESSING IN HEAT AND FLUID FLOW, 1996, 1996 (03): : 291 - 300
  • [26] Tomographic particle image velocimetry
    Elsinga, G. E.
    Scarano, F.
    Wieneke, B.
    van Oudheusden, B. W.
    EXPERIMENTS IN FLUIDS, 2006, 41 (06) : 933 - 947
  • [27] Photogrammetric particle image velocimetry
    Schimpf, A
    Kallweit, S
    PARTICLE IMAGE VELOCIMETRY: RECENT IMPROVEMENTS, 2004, : 295 - 300
  • [28] Holographic particle image velocimetry
    Hinsch, KD
    Herrmann, SF
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2004, 15 (04) : 613 - 621
  • [29] Diffeomorphic Particle Image Velocimetry
    Lee, Yong
    Mei, Shuang
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [30] Echo Particle Image Velocimetry
    DeMarchi, Nicholas
    White, Christopher
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2012, (70):