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首页> 外文期刊>Optics and Lasers in Engineering >Role of data processing in measuring temperature gradients with DOE Schardin's schlieren #2
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Role of data processing in measuring temperature gradients with DOE Schardin's schlieren #2

机译:数据处理在使用DOE Schardin的schlieren#2测量温度梯度中的作用

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Flows having a variable fluid density can be visualized with optical methods. Recently, a background distortion technique, which can be considered a type of Schardin's schlieren #2, was proposed to study the refractive index variation in fluid and hence to measure the convective heat transfer. The background is a fringe pattern generated by a diffractive optical element (DOE). However, this system may exhibit poor performance when using air as a working fluid. Different strategies were proposed for improving sensitivity, such as modifying the experimental setup or increasing the frequency of the projected fringe pattern. In this paper the performance of the system is evaluated, by using different data processing methods, through a numerical simulation of free convection from a vertical plate in air. In particular, we found that the use of windowed Fourier transform method for data processing enhances both the accuracy and the sensitivity of the temperature gradient measurements.
机译:具有可变流体密度的流动可以通过光学方法可视化。最近,有人提出了一种背景畸变技术,该技术可以被认为是沙丁氏合金的schlieren#2类型,用于研究流体中的折射率变化,从而测量对流传热。背景是由衍射光学元件(DOE)产生的条纹图案。但是,使用空气作为工作流体时,该系统的性能可能较差。提出了提高灵敏度的不同策略,例如修改实验设置或增加投影条纹图案的频率。在本文中,通过使用不同的数据处理方法,通过对垂直板在空气中自由对流的数值模拟,对系统的性能进行了评估。特别是,我们发现使用窗口傅里叶变换方法进行数据处理可以提高温度梯度测量的准确性和灵敏度。

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