Temperature and number density measurement in non-uniform supersonic flowfields undergoing mixing using toluene PLIF thermometry
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  • 作者:Mirko Gamba ; Victor A. Miller ; M. Godfrey Mungal ; Ronald K. Hanson
  • 刊名:Applied Physics B: Lasers and Optics
  • 出版年:2015
  • 出版时间:August 2015
  • 年:2015
  • 卷:120
  • 期:2
  • 页码:285-304
  • 全文大小:7,136 KB
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  • 作者单位:Mirko Gamba (1)
    Victor A. Miller (2)
    M. Godfrey Mungal (3)
    Ronald K. Hanson (2)

    1. University of Michigan, Ann Arbor, MI, USA
    2. Stanford University, Stanford, CA, USA
    3. Santa Clara University, Santa Clara, CA, USA
  • 刊物类别:Physics and Astronomy
  • 刊物主题:Physics
    Electromagnetism, Optics and Lasers
    Physical Chemistry
    Laser Technology and Physics and Photonics
    Quantum Optics, Quantum Electronics and Nonlinear Optics
    Optical Spectroscopy and Ultrafast Optics
    Physics and Applied Physics in Engineering
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1432-0649
文摘
Single-excitation, dual-band-collection toluene planar laser-induced fluorescence (PLIF) is used to measure temperature and number density (or partial pressure) fields in non-uniform supersonic complex flows in the presence of mixing and compressibility. The study provides a quantitative evaluation of the technique in transverse jets in supersonic crossflow (JISCF). It is found that toluene PLIF is highly effective in visualizing the structure of supersonic flows and that temperature can be accurately inferred with acceptable signal-to-noise ratios (of order 30) even when mixing occurs. The technique was applied to several JISCFs that differ by jet fluid properties with resulting different structures. In the presence of compressibility and mixing, it is found that the PLIF signal is non-unique, a feature that is used to identify the mixing region of the transverse jet. Measurement errors due to camera registration errors have also been quantified. Because of the complexity of the flowfield, it is found that minute misalignment (<0.1 pixels) between the two PLIF images can introduce measurable errors on the order of tens of Kelvins and significant errors in temperature gradients.

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