Performance of background-oriented schlieren with fractal-like background patterns and digital image correlation technique

IF 2.3 3区 工程技术 Q2 ENGINEERING, MECHANICAL
Wei Hu, Lijun Yang, Yue Zhang, Pengcheng Wang, Jingxuan Li
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引用次数: 0

Abstract

This paper presents the application of various artificial fractal-like background patterns and a digital image correlation algorithm, to enhance the accuracy of image displacement measurement within background-oriented schlieren technology. A novel method for generating new fractal-like patterns is proposed, allowing for the combination of different pattern strengths. A more robust image displacement estimation algorithm that considers the self-affine property inherent in fractal patterns is introduced. Various synthetic flow tests, as well as real supersonic flow and combustion tests, were conducted to demonstrate the advantages of the estimation algorithm and to gain a comprehensive understanding of the applicability of different fractal-like backgrounds.

Graphical abstract

Abstract Image

分形背景纹影与数字图像相关技术的性能研究
为了提高背景纹影技术中图像位移测量的精度,提出了各种人工类分形背景图案和数字图像相关算法的应用。提出了一种新的分形模式生成方法,允许不同模式强度的组合。提出了一种考虑分形图像固有的自仿射特性的图像位移估计算法。通过各种合成流动试验以及真实超声速流动和燃烧试验,验证了该估计算法的优势,全面了解了不同类分形背景的适用性。图形抽象
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来源期刊
Experiments in Fluids
Experiments in Fluids 工程技术-工程:机械
CiteScore
5.10
自引率
12.50%
发文量
157
审稿时长
3.8 months
期刊介绍: Experiments in Fluids examines the advancement, extension, and improvement of new techniques of flow measurement. The journal also publishes contributions that employ existing experimental techniques to gain an understanding of the underlying flow physics in the areas of turbulence, aerodynamics, hydrodynamics, convective heat transfer, combustion, turbomachinery, multi-phase flows, and chemical, biological and geological flows. In addition, readers will find papers that report on investigations combining experimental and analytical/numerical approaches.
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