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

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Abstract

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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Acknowledgments

This work was supported by the Japan Society for the Promotion of Science, KAKENHI grants JP19H00800. T. Nagata was supported by Japan Science and Technology Agency, CREST Grant Number JPMJCR1763.

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Authors and Affiliations

  1. Department of Aerospace Engineering, Graduate School of Engineering, Tohoku University, 6-6-01 Aramaki-Aza-Aoba, Aoba-ku, Sendai, 980-8579, Japan

    Tsuyoshi Shigeta, Takayuki Nagata, Taku Nonomura & Keisuke Asai

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  1. Tsuyoshi Shigeta
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  2. Takayuki Nagata
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  3. Taku Nonomura
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  4. Keisuke Asai
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Correspondence to Tsuyoshi Shigeta.

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Shigeta, T., Nagata, T., Nonomura, T. et al. Enhancement of signal-to-noise ratio of schlieren visualization measurements in low-density wind tunnel tests using modal decomposition. J Vis 25, 697–712 (2022). https://doi.org/10.1007/s12650-022-00829-8

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  • DOI: https://doi.org/10.1007/s12650-022-00829-8

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