Enhancement of signal-to-noise ratio of schlieren visualization measurements in low-density wind tunnel tests using modal decomposition

Shigeta Tsuyoshi; Nagata Takayuki; Nonomura TakuAsai Keisuke

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Enhancement of signal-to-noise ratio of schlieren visualization measurements in low-density wind tunnel tests using modal decomposition

机译：Enhancement of signal-to-noise ratio of schlieren visualization measurements in low-density wind tunnel tests using modal decomposition

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摘要

Signal processing methods that remove noise due to atmospheric fluctuation and image sensors and extract fluid phenomena from schlieren images obtained in the low-density wind tunnel test were developed together with the highly sensitive schlieren measurement setup. Time-series schlieren images of the flow around a triangular airfoil were analyzed, and the effectiveness of noise reduction methods using the randomized singular value decomposition and band-pass filtering using the fast Fourier transform (FFT) and the inverse FFT were investigated. The proposed method succeeded in removing noise by taking advantage of the frequency difference between the noise and fluid phenomena, and the fluid phenomena around the airfoil were clearly visualized at a Reynolds number of 3000 and a Mach number of 0.15.

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来源
《Journal of visualization》 |2022年第4期|697-712|共16页
作者
Shigeta Tsuyoshi; Nagata Takayuki; Nonomura TakuAsai Keisuke;
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作者单位

Tohoku Univ;

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原文格式 PDF
正文语种英语
中图分类应用物理学;
关键词
Digital image processing; Flow visualization; Low Reynolds number; REYNOLDS-NUMBER; MACH NUMBER; FLOW;

Enhancement of signal-to-noise ratio of schlieren visualization measurements in low-density wind tunnel tests using modal decomposition

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