.png){kind=icon}
返回
Quantitative flow visualization by hidden grid background oriented schlieren
.png){kind=icon}
OA
AI
DOI：10.1016/j.optlaseng.2022.107307.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The paper introduces hidden grid background oriented schlieren for quantitative study and visualization of natu-ral convection heat transfer. In this technique, the refractive index variation, induced by the temperature gradient, is encoded in the recorded signal phase through the distortion of a background pattern. The background (undis-torted) pattern is implicit (or hidden) in the light source. Quantitative estimation of the phase map is obtained by windowed Fourier transform. This method offers localized processing of the signal using joint space-frequency representation. The performance of hidden grid background oriented schlieren is practically demonstrated by investigating natural convective flow, a demanding task due to its comparatively small heat transfer.
Keyword:
Background oriented schlieren
Hidden grid
Phase estimation
Windowed Fourier transform
Heat flow
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.7
论文数:
7.3K
被引数:
1.7W
机构
引用论文
Design process and preliminary psychometric study of a video game to detect cognitive impairment in senior adults用于检测老年人认知障碍的视频游戏的设计过程和初步心理研究.png)
PeerJOAAI
PeerJIF0
OAAI分享收藏VisG is essential for biosynthesis of virginiamycin S, a streptogramin type B antibiotic, as a provider of the nonproteinogenic amino acid phenylglycineMicrobiologyOAAI
MicrobiologyIF0
OAAI分享收藏分享收藏Polysaccharide breakdown by anaerobic microorganisms inhabiting the mammalian gut.哺乳动物肠道中厌氧微生物对多糖的分解。
IF0
PREAI
分享收藏分享收藏
查看更多内容