Data acquisition in a simplified turbine model for prediction of unsteady vortex phenomena

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Data acquisition in a simplified turbine model for prediction of unsteady vortex phenomena. / Skripkin, S.; Suslov, D.; Gorelikov, E. et al.

In: Journal of Physics: Conference Series, Vol. 2752, No. 1, 012211, 2024.

Research output: Contribution to journal › Conference article › peer-review

BibTeX

@article{ef0d3f08f1f848a2bd0b73fbe99f3d31,

title = "Data acquisition in a simplified turbine model for prediction of unsteady vortex phenomena",

abstract = "The utilization of machine learning in finding decisions of engineering problems is the optimal way. This study presents a new tool that applies machine learning algorithms, to predict the frequency response of an unsteady vortex phenomenon known as the precessing vortex core (PVC) that appears in a conical draft tube behind a runner. The basic values involved in Linear Support Vector Classification model training are the two components of the time-averaged velocity profile at the cone diffuser inlet and cone angle which should be accurately measured. The paper introduces the approach to accumulating an experimental database and conducting primary analysis of the implemented regimes of swirling flow in a simplified hydraulic turbine model. It was obtained that it is necessary to clearly identify the zone of recirculation flow. The presence of this zone is a necessary, but not sufficient condition for the formation of the PVC in the flow. Injection of an axial jet in a situation with moderate swirl flow allows to shift the PVC frequency about by 10% relative to the PVC frequency without an additional jet.",

author = "S. Skripkin and D. Suslov and E. Gorelikov and M. Tsoy and I. Litvinov",

note = "The study was supported by the Russian Science Foundation (Project No. 21-79-10080).; The 4th IAHR Asian Working Group Symposium on Hydraulic Machinery and Systems, IAHR 2023 ; Conference date: 12-08-2023 Through 16-08-2023",

year = "2024",

doi = "10.1088/1742-6596/2752/1/012211",

language = "English",

volume = "2752",

journal = "Journal of Physics: Conference Series",

issn = "1742-6588",

publisher = "IOP Publishing Ltd.",

number = "1",

}

RIS

TY - JOUR

T1 - Data acquisition in a simplified turbine model for prediction of unsteady vortex phenomena

AU - Skripkin, S.

AU - Suslov, D.

AU - Gorelikov, E.

AU - Tsoy, M.

AU - Litvinov, I.

N1 - Conference code: 4

PY - 2024

Y1 - 2024

N2 - The utilization of machine learning in finding decisions of engineering problems is the optimal way. This study presents a new tool that applies machine learning algorithms, to predict the frequency response of an unsteady vortex phenomenon known as the precessing vortex core (PVC) that appears in a conical draft tube behind a runner. The basic values involved in Linear Support Vector Classification model training are the two components of the time-averaged velocity profile at the cone diffuser inlet and cone angle which should be accurately measured. The paper introduces the approach to accumulating an experimental database and conducting primary analysis of the implemented regimes of swirling flow in a simplified hydraulic turbine model. It was obtained that it is necessary to clearly identify the zone of recirculation flow. The presence of this zone is a necessary, but not sufficient condition for the formation of the PVC in the flow. Injection of an axial jet in a situation with moderate swirl flow allows to shift the PVC frequency about by 10% relative to the PVC frequency without an additional jet.

AB - The utilization of machine learning in finding decisions of engineering problems is the optimal way. This study presents a new tool that applies machine learning algorithms, to predict the frequency response of an unsteady vortex phenomenon known as the precessing vortex core (PVC) that appears in a conical draft tube behind a runner. The basic values involved in Linear Support Vector Classification model training are the two components of the time-averaged velocity profile at the cone diffuser inlet and cone angle which should be accurately measured. The paper introduces the approach to accumulating an experimental database and conducting primary analysis of the implemented regimes of swirling flow in a simplified hydraulic turbine model. It was obtained that it is necessary to clearly identify the zone of recirculation flow. The presence of this zone is a necessary, but not sufficient condition for the formation of the PVC in the flow. Injection of an axial jet in a situation with moderate swirl flow allows to shift the PVC frequency about by 10% relative to the PVC frequency without an additional jet.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85197224938&origin=inward&txGid=53edf824a3f2931e1f5c318b552cd245

UR - https://www.mendeley.com/catalogue/1e687cb4-4c17-3282-a610-8c7520fb91e4/

U2 - 10.1088/1742-6596/2752/1/012211

DO - 10.1088/1742-6596/2752/1/012211

M3 - Conference article

VL - 2752

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012211

T2 - The 4th IAHR Asian Working Group Symposium on Hydraulic Machinery and Systems

Y2 - 12 August 2023 through 16 August 2023

ER -

ID: 61253476