Energy spectrum analysis of compressible flow based on MHz-PIV

IF 3.8 2区工程技术 Q1 ENGINEERING, MECHANICAL

Acta Mechanica Sinica Pub Date : 2024-11-22 DOI:10.1007/s10409-024-24574-x

Xintao Lu (, ), Hang Zhao (, ), Xing Wei (, ), Zhen Yang (, ), Menggang Kang (, ), Hua Yang (, ), Shuang Chen (, ), Fang Zhang (, ), Qi Gao (, )

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引用次数: 0

Abstract

High-speed flows have consistently presented significant challenges to experimental research due to their complex and unsteady characteristics. This study investigates the use of the megahertz-frequency particle image velocimetry (MHz-PIV) technique to enhance time resolution under high-speed flow conditions. In our experiments, five high-speed cameras were utilized in rapid succession to capture images of the same measurement area, achieving ultra-high time resolution particle image data. Through advanced image processing techniques, we corrected optical distortions and identified common areas among the captured images. The implementation of a sliding average algorithm, along with spectral analysis of the compressible turbulent flow field based on velocity data, facilitated a comprehensive analysis. The results confirm the capability of MHz-PIV for high-frequency sampling, significantly reducing reliance on individual camera performance. This approach offers a refined measurement method with superior spatiotemporal resolution for high-speed flow experiments.

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基于MHz-PIV的可压缩流能谱分析

高速流动由于其复杂和不稳定的特性，一直给实验研究带来巨大挑战。本研究利用兆赫频率粒子图像测速（MHz-PIV）技术来提高高速流动条件下的时间分辨率。在我们的实验中，利用5台高速摄像机快速连续捕获同一测量区域的图像，获得超高时间分辨率的粒子图像数据。通过先进的图像处理技术，我们纠正了光学畸变并识别了捕获图像中的共同区域。滑动平均算法的实现，以及基于速度数据的可压缩湍流流场的频谱分析，有助于进行全面的分析。结果证实了MHz-PIV的高频采样能力，显著降低了对单个相机性能的依赖。该方法为高速流动实验提供了一种具有优越时空分辨率的精细测量方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Acta Mechanica Sinica 物理-工程：机械

CiteScore

5.60

自引率

20.00%

发文量

1807

审稿时长

4 months

期刊介绍： Acta Mechanica Sinica, sponsored by the Chinese Society of Theoretical and Applied Mechanics, promotes scientific exchanges and collaboration among Chinese scientists in China and abroad. It features high quality, original papers in all aspects of mechanics and mechanical sciences. Not only does the journal explore the classical subdivisions of theoretical and applied mechanics such as solid and fluid mechanics, it also explores recently emerging areas such as biomechanics and nanomechanics. In addition, the journal investigates analytical, computational, and experimental progresses in all areas of mechanics. Lastly, it encourages research in interdisciplinary subjects, serving as a bridge between mechanics and other branches of engineering and the sciences. In addition to research papers, Acta Mechanica Sinica publishes reviews, notes, experimental techniques, scientific events, and other special topics of interest. Related subjects » Classical Continuum Physics - Computational Intelligence and Complexity - Mechanics