Schlieren 测量 2 马赫超音速圆柱形隔离器中的冲击系流场

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Yang Ou, Bing Xiong, Yifan Dai, Xiaoqiang Fan, Shanyong Chen, Shangcheng Xu, Yuepeng Yan, Hao Hu, Yupeng Xiong, Chunyang Du, Chaoliang Guan
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引用次数: 0

摘要

在马赫数为 2 的超音速圆柱形隔振器中,利用离散测量法对冲击列流场的结构和频率特性进行了实验研究。根据圆柱形管道中平行光通过离散窗的设计原理,设计了高精度共形光学窗对,并对其进行了综合处理。在背压可调的直连式风洞中,基于自建的带有保形窗的管道结构,首先用裂隙法捕捉了 2 马赫下圆柱形隔离器中的冲击面。然后,通过非线性图像变换算法对裂隙照片进行校正,以还原真实的冲击系结构,并将实验结果与数值模拟结果进行定量比较。最后,利用图像识别算法计算了冲击列车的位置,分析了冲击列车结构的自激振荡频率特性。该研究的方法和实验丰富了通过非矩形截面隔离器的超音速流在scramjet中的光学观测方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Schlieren measurements of shock train flow fields in a supersonic cylindrical isolator at Mach 2

Schlieren measurements of shock train flow fields in a supersonic cylindrical isolator at Mach 2

In a supersonic cylindrical isolator at Mach 2, the structures and frequency characteristics of shock train flow fields were experimentally studied by the schlieren measurement method. According to the design principle of parallel light through schlieren windows in a cylindrical duct, a high-precision conformal optical window pair was designed and integratively processed before. Based on a self-built pipeline structure with conformal windows in a direct-connect wind tunnel under adjustable back-pressure conditions, the shock surfaces in a cylindrical isolator at Mach 2 were first captured by the schlieren method. Then, the schlieren photographs were corrected by a nonlinear image transformation algorithm for the restoration of real shock train structures, and the experimental results were compared with numerical simulation results quantitatively. Finally, the shock train positions were calculated by an image recognition algorithm to analyze the self-excited oscillation frequency characteristics of shock train structures. The methods and experiments in this study enriched optical observation methods of supersonic flows through non-rectangular cross-section isolators in scramjet.

Graphical abstract

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来源期刊
Journal of Visualization
Journal of Visualization COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
CiteScore
3.40
自引率
5.90%
发文量
79
审稿时长
>12 weeks
期刊介绍: Visualization is an interdisciplinary imaging science devoted to making the invisible visible through the techniques of experimental visualization and computer-aided visualization. The scope of the Journal is to provide a place to exchange information on the latest visualization technology and its application by the presentation of latest papers of both researchers and technicians.
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