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22 December 2022 Study on two-dimensional grid data extraction method of HTV
Jun Shao, Qiang Liu, Jing-Feng Ye, Zhenrong Zhang, Aiping Yi, Sheng Wang, Guohua Li, Zhenjie Wu, Yamin Wang, Junzheng Wu, Zhiyun Hu
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Proceedings Volume 12459, Sixth International Symposium on Laser Interaction with Matter; 124590Q (2022) https://doi.org/10.1117/12.2637333
Event: Sixth International Symposium on Laser Interaction with Matter (LIMIS 2022), 2022, Ningbo, China
Abstract
In order to improve extraction ability of the two-dimensional HTV grid experiment data and achieve rich flow field velocimetry data. In this paper, a two-dimensional grid extraction method combining cross ponits and grid lines is proposed. A template indirect correlation method was used to extract the position of cross ponits. Based on the vector position information of cross ponits, two-dimensional inversion of convective field velocity is achieved by using the method of skeleton extraction with directional template. This method not only can extend the inversion data, but also can be used in the scramjet combustion flow field, that the relative uncertainty of calculation speed is optimized from 0.8% to 0.17%.
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Jun Shao, Qiang Liu, Jing-Feng Ye, Zhenrong Zhang, Aiping Yi, Sheng Wang, Guohua Li, Zhenjie Wu, Yamin Wang, Junzheng Wu, and Zhiyun Hu "Study on two-dimensional grid data extraction method of HTV", Proc. SPIE 12459, Sixth International Symposium on Laser Interaction with Matter, 124590Q (22 December 2022); https://doi.org/10.1117/12.2637333
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KEYWORDS
Velocimetry
Signal to noise ratio
Combustion
Image processing
Velocity measurements
Feature extraction
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