SPTV sheds light on flow dynamics of fractal-induced turbulence over a plate-fin array forced convection
Abstract A 3D stationary particle tracking velocimetry (SPTV) with a unique recursive corrective algorithm has been successfully established to detect the instantaneous regional fluid flow characteristics. The veracity of SPTV is corroborated by conducting actual displacement measurement validation,...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-01-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-02872-1 |
_version_ | 1818964064530857984 |
---|---|
author | Su Min Hoi Ean Hin Ooi Irene Mei Leng Chew Ji Jinn Foo |
author_facet | Su Min Hoi Ean Hin Ooi Irene Mei Leng Chew Ji Jinn Foo |
author_sort | Su Min Hoi |
collection | DOAJ |
description | Abstract A 3D stationary particle tracking velocimetry (SPTV) with a unique recursive corrective algorithm has been successfully established to detect the instantaneous regional fluid flow characteristics. The veracity of SPTV is corroborated by conducting actual displacement measurement validation, which gives a maximum percentage deviation of about 0.8%. This supports the accuracy of the current SPTV system in 3D position detection. More importantly, the SPTV detected velocity fluctuations are highly repeatable. In this study, SPTV is proven to be able to express the nature of chaotic fractal grid-induced regional turbulence, namely: the high turbulence intensity attributed to multilength-scale wake interactions, the Kolmogorov’s −5/3 law decay, vortex shedding, and the Gaussian flow undulations immediately leeward of the grid followed by non-Gaussian behaviour further downstream. Moreover, by comparing the flow fields between control no-grid and fractal grid-generated turbulence of a plate-fin array, SPTV reveals vigorous turbulence intensity, smaller regional integral-length-scale, and energetic vortex shedding at higher frequency for the latter, particularly between fins. Thereupon, it allows the unravelling of detailed thermofluid interplays of plate-fin heat sink heat transfer augmentation. The novelty of SPTV lies in its simplicity, use of low-cost off-the-shelf components, and most remarkably, low computational complexity in detecting fundamental characteristics of turbulent fluid flow. |
first_indexed | 2024-12-20T12:55:10Z |
format | Article |
id | doaj.art-fe9c424c6a144b39b85cc7ed24ba3278 |
institution | Directory Open Access Journal |
issn | 2045-2322 |
language | English |
last_indexed | 2024-12-20T12:55:10Z |
publishDate | 2022-01-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Scientific Reports |
spelling | doaj.art-fe9c424c6a144b39b85cc7ed24ba32782022-12-21T19:40:04ZengNature PortfolioScientific Reports2045-23222022-01-0112112010.1038/s41598-021-02872-1SPTV sheds light on flow dynamics of fractal-induced turbulence over a plate-fin array forced convectionSu Min Hoi0Ean Hin Ooi1Irene Mei Leng Chew2Ji Jinn Foo3School of Engineering, Monash University MalaysiaSchool of Engineering, Monash University MalaysiaSchool of Engineering, Monash University MalaysiaSchool of Engineering, Monash University MalaysiaAbstract A 3D stationary particle tracking velocimetry (SPTV) with a unique recursive corrective algorithm has been successfully established to detect the instantaneous regional fluid flow characteristics. The veracity of SPTV is corroborated by conducting actual displacement measurement validation, which gives a maximum percentage deviation of about 0.8%. This supports the accuracy of the current SPTV system in 3D position detection. More importantly, the SPTV detected velocity fluctuations are highly repeatable. In this study, SPTV is proven to be able to express the nature of chaotic fractal grid-induced regional turbulence, namely: the high turbulence intensity attributed to multilength-scale wake interactions, the Kolmogorov’s −5/3 law decay, vortex shedding, and the Gaussian flow undulations immediately leeward of the grid followed by non-Gaussian behaviour further downstream. Moreover, by comparing the flow fields between control no-grid and fractal grid-generated turbulence of a plate-fin array, SPTV reveals vigorous turbulence intensity, smaller regional integral-length-scale, and energetic vortex shedding at higher frequency for the latter, particularly between fins. Thereupon, it allows the unravelling of detailed thermofluid interplays of plate-fin heat sink heat transfer augmentation. The novelty of SPTV lies in its simplicity, use of low-cost off-the-shelf components, and most remarkably, low computational complexity in detecting fundamental characteristics of turbulent fluid flow.https://doi.org/10.1038/s41598-021-02872-1 |
spellingShingle | Su Min Hoi Ean Hin Ooi Irene Mei Leng Chew Ji Jinn Foo SPTV sheds light on flow dynamics of fractal-induced turbulence over a plate-fin array forced convection Scientific Reports |
title | SPTV sheds light on flow dynamics of fractal-induced turbulence over a plate-fin array forced convection |
title_full | SPTV sheds light on flow dynamics of fractal-induced turbulence over a plate-fin array forced convection |
title_fullStr | SPTV sheds light on flow dynamics of fractal-induced turbulence over a plate-fin array forced convection |
title_full_unstemmed | SPTV sheds light on flow dynamics of fractal-induced turbulence over a plate-fin array forced convection |
title_short | SPTV sheds light on flow dynamics of fractal-induced turbulence over a plate-fin array forced convection |
title_sort | sptv sheds light on flow dynamics of fractal induced turbulence over a plate fin array forced convection |
url | https://doi.org/10.1038/s41598-021-02872-1 |
work_keys_str_mv | AT suminhoi sptvshedslightonflowdynamicsoffractalinducedturbulenceoveraplatefinarrayforcedconvection AT eanhinooi sptvshedslightonflowdynamicsoffractalinducedturbulenceoveraplatefinarrayforcedconvection AT irenemeilengchew sptvshedslightonflowdynamicsoffractalinducedturbulenceoveraplatefinarrayforcedconvection AT jijinnfoo sptvshedslightonflowdynamicsoffractalinducedturbulenceoveraplatefinarrayforcedconvection |