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2023 | OriginalPaper | Chapter

Cross-Correlation of Schlieren Images to Retrieve Velocity Information

Authors : Louther Charl Flores David, Jhoffanel Pazo, Efstratios L. Ntantis, Kizhakkelan Sudhakaran Siddharth

Published in: Advances in Engineering Design

Publisher: Springer Nature Singapore

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Abstract

Schlieren imaging has been utilized in experimental fluid mechanics as a tool in quantifying flow characteristics of gas flows. This non-intrusive technique when coupled along with cross-correlation turns to be effective in estimating velocity information. This study is an attempt to study the flow occurring around an airfoil, by cross-correlating successive schlieren images after seeding the flow with appropriate tracer particles with the aid of open-source software PIVlab®. Velocity variation at multiple spatial locations in a particular region of interest of flow around the airfoil was estimated in the study. The different possible reason(s) of error and necessary precautions while incorporating the method that should be followed have also been abridged.

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Metadata
Title
Cross-Correlation of Schlieren Images to Retrieve Velocity Information
Authors
Louther Charl Flores David
Jhoffanel Pazo
Efstratios L. Ntantis
Kizhakkelan Sudhakaran Siddharth
Copyright Year
2023
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-99-3033-3_45

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