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Particle Image Velocimetry Dynamic Analysis on the Penstock Vortex Flow for the Dam Reliability Study

Flow visualization; Reliability analysis; Velocimeters; Vortex flow; Downs model; Dynamics analysis; Flow visualisation; Numerical simulated; Operating configurations; Particle image velocimetry analysis; Physical modelling; Velocity measurement

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Bibliographic Details
Main Authors: Zahari N.M., Zawawi M.H., Ng F.C., Sidek L.M., Abas A., Nurhikmah F., Aziz N.A., Hao T.L., Radzi M.R.M.
Other Authors: 54891672300
Format: Conference Paper
Published: Springer Science and Business Media Deutschland GmbH 2023
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id my.uniten.dspace-27296
record_format dspace
spelling my.uniten.dspace-272962023-05-29T17:42:16Z Particle Image Velocimetry Dynamic Analysis on the Penstock Vortex Flow for the Dam Reliability Study Zahari N.M. Zawawi M.H. Ng F.C. Sidek L.M. Abas A. Nurhikmah F. Aziz N.A. Hao T.L. Radzi M.R.M. 54891672300 39162217600 57192101900 35070506500 56893346700 57204810651 57201665672 57345051100 57204677038 Flow visualization; Reliability analysis; Velocimeters; Vortex flow; Downs model; Dynamics analysis; Flow visualisation; Numerical simulated; Operating configurations; Particle image velocimetry analysis; Physical modelling; Velocity measurement This paper detailed the particle image velocimetry (PIV) experimental work in the study of vortex flow in the penstock section. The scaled-down physical model for the penstock pipe and turbines was constructed for the PIV analysis. From the study, it was found that there is no visible vortex being observed in the penstock pipe at the present operating configuration. Upon being compared with the numerical simulated penstock flow, a slight discrepancy of 12% is recorded, indicating the findings are acceptable. In conclusion, the PIV approach on the scaled-down model is suitable for the flow visualization work in dam reliability analysis. � 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Final 2023-05-29T09:42:16Z 2023-05-29T09:42:16Z 2022 Conference Paper 10.1007/978-981-16-6978-1_38 2-s2.0-85119321720 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119321720&doi=10.1007%2f978-981-16-6978-1_38&partnerID=40&md5=87da3d55f1c002719701e47174b9e0a6 https://irepository.uniten.edu.my/handle/123456789/27296 202 493 501 Springer Science and Business Media Deutschland GmbH Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Flow visualization; Reliability analysis; Velocimeters; Vortex flow; Downs model; Dynamics analysis; Flow visualisation; Numerical simulated; Operating configurations; Particle image velocimetry analysis; Physical modelling; Velocity measurement
author2 54891672300
author_facet 54891672300
Zahari N.M.
Zawawi M.H.
Ng F.C.
Sidek L.M.
Abas A.
Nurhikmah F.
Aziz N.A.
Hao T.L.
Radzi M.R.M.
format Conference Paper
author Zahari N.M.
Zawawi M.H.
Ng F.C.
Sidek L.M.
Abas A.
Nurhikmah F.
Aziz N.A.
Hao T.L.
Radzi M.R.M.
spellingShingle Zahari N.M.
Zawawi M.H.
Ng F.C.
Sidek L.M.
Abas A.
Nurhikmah F.
Aziz N.A.
Hao T.L.
Radzi M.R.M.
Particle Image Velocimetry Dynamic Analysis on the Penstock Vortex Flow for the Dam Reliability Study
author_sort Zahari N.M.
title Particle Image Velocimetry Dynamic Analysis on the Penstock Vortex Flow for the Dam Reliability Study
title_short Particle Image Velocimetry Dynamic Analysis on the Penstock Vortex Flow for the Dam Reliability Study
title_full Particle Image Velocimetry Dynamic Analysis on the Penstock Vortex Flow for the Dam Reliability Study
title_fullStr Particle Image Velocimetry Dynamic Analysis on the Penstock Vortex Flow for the Dam Reliability Study
title_full_unstemmed Particle Image Velocimetry Dynamic Analysis on the Penstock Vortex Flow for the Dam Reliability Study
title_sort particle image velocimetry dynamic analysis on the penstock vortex flow for the dam reliability study
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2023
_version_ 1806428371154894848
score 13.222552

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