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首页> 外文期刊>Applied physics >A one-way coupled model for the vibration of tuning fork-based trace gas sensors driven by a thermoacoustic wave
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A one-way coupled model for the vibration of tuning fork-based trace gas sensors driven by a thermoacoustic wave

机译:基于热声波驱动的基于音叉的痕量气体传感器振动的单向耦合模型

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摘要

We present a single computational model for both quartz-enhanced photoacoustic spectroscopy and resonant optothermoacoustic detection trace gas sensors. These sensors employ a quartz tuning fork to detect the acoustic pressure and thermal waves generated when a laser excites a trace gas. The model is based on a coupled system of equations developed by Morse and Ingard for pressure and temperature in a fluid. The pressure and temperature solutions drive the resonant vibration of the tuning fork, which is modeled using the equations of linear elasticity. At high ambient pressure, excellent agreement is obtained with laboratory experiments. This result provides the first quantitative match between a fully computational simulation and experiments for a QEPAS sensor. Such a model could ultimately facilitate sensor design optimization. At low ambient pressure (less than 60 Torr), quantitative agreement is obtained after reweighting the contributions from the pressure and thermal components of the signal. While this result is a substantial improvement over previous results in which a scaling factor was required to obtain agreement at any ambient pressure, at low pressures, it appears that a more accurate physical model may be required to match experimental data.
机译:我们为石英增强的光声光谱和共振光热声检测痕量气体传感器提供了一个单一的计算模型。这些传感器使用石英音叉来检测激光激发痕量气体时产生的声压和热波。该模型基于Morse和Ingard为流体中的压力和温度开发的耦合方程组。压力和温度解决方案驱动音叉的共振,该共振使用线性弹性方程式进行建模。在高环境压力下,通过实验室实验可获得极好的一致性。该结果为QEPAS传感器的完全计算仿真和实验之间提供了首次定量匹配。这样的模型最终可以促进传感器设计的优化。在低环境压力(小于60托)下,重新加权信号压力和热分量的贡献后即可获得定量协议。尽管此结果相对于先前的结果(其中比例因子需要在任何环境压力下,在低压下获得一致性)有实质性的改进,但似乎可能需要更准确的物理模型来匹配实验数据。

著录项

  • 来源
    《Applied physics》 |2020年第2期|29.1-29.10|共10页
  • 作者单位

    Univ Texas Dallas Dept Math Sci 800 W Campbell Rd Richardson TX 75080 USA|Eawag Swiss Fed Inst Aquat Sci & Technol Uberlandstr 133 CH-8600 Dubendorf Switzerland;

    Univ Texas Dallas Dept Math Sci 800 W Campbell Rd Richardson TX 75080 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
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