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Journal of Visualization

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30-03-2023 | Regular Paper

Schlieren imaging investigation of flow fields in synthetic jets generated by different orifice geometries with varying aspect ratios

Authors: Esra Türen, Hakan Yavuz

Published in: Journal of Visualization | Issue 4/2023

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Abstract

The presented experimental study is based on flow fields investigation of jet structure formations. The studied jet structures are generated by various orifice geometries by an impinging synthetic jet actuator. The characteristic of the generated jet is studied for a range actuator excitation-related electrical parameters. The synthetic jet actuator is driven using varying electrical excitation frequencies, such as 4, 6 and 8 Hz and varying excitation voltage amplitudes such as 1, 1.5 and 2 V. The waveform of the electrical signal is only chosen to be a square wave. In addition to the electrical properties of the excitation signal, a comprehensive examination of characteristics of the synthetic jets generated by different orifice geometries such as circular, rectangular and sinusoidal types is also studied. For determination of the characteristics of the synthetic jets generated, the experimental results are then examined for the electrical excitation related parameters as well as the orifice geometry related properties. It is observed that the geometry of the orifice structure and the electrical parameters of the excitation signal play an important role in determination of the flow properties and performance of the synthetic jets. The achieved results indicate that there is a considerable potential for industrial applications in areas such as electronic device cooling, heat transfer in optical applications, jet structure formation, oscillating flow generation and mixing flow.

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Title: Schlieren imaging investigation of flow fields in synthetic jets generated by different orifice geometries with varying aspect ratios
Authors: Esra Türen
Hakan Yavuz
Publication date: 30-03-2023
Publisher: Springer Berlin Heidelberg
Published in: Journal of Visualization / Issue 4/2023
Print ISSN: 1343-8875
Electronic ISSN: 1875-8975
DOI: https://doi.org/10.1007/s12650-023-00917-3

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