Assessment of fiber bragg grating sensors for monitoring induced strains on the draft tube cone of hydraulic turbines

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Abstract

In hydraulic turbines, several flow instabilities can take place inside the draft tube cone during off-design and transient operating conditions such as the rotating vortex rope which can severely damage the structure if sustained in time. In the frame of the AFC4Hydro H2020 research project, an extensive measurement campaign has been carried out to monitor and predict this rotating vortex rope phenomenon in a reduced scale Kaplan turbine model at the Vattenfall Research and Development facility in Älvkarleby, Sweden. The hydraulic turbine model has been operated in propeller mode with a fixed blade angle corresponding to its best efficiency point. Several sensors have been placed along the test stand to monitor vibrations, strains and pressures. Concretely, the present paper assesses the performance of using Fiber Bragg Grating sensors to measure the strains induced on the draft tube cone walls with high-spatial resolution in three different zones of influence: the upper and lower flanges and the vertical cone wall between the runner outlet and the elbow. To do so, a total of 3 arrays embedding a total of 48 Fiber Bragg Grating sensors were glued inside three grooves previously machined on these particular areas of the draft tube cone. Analysing the frequency response of the different Fiber Bragg Grating sensors, the strain patterns induced by the rotating and plunging components of the rotating vortex rope have been precisely determined. Moreover, their impacts at the different part load conditions tested have also been quantified.

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Sanchez, X. [et al.]. Assessment of fiber bragg grating sensors for monitoring induced strains on the draft tube cone of hydraulic turbines. A: IAHR Asian Working Group Symposium on Hydraulic Machinery and Systems. "The 4th IAHR Asian Working Group Symposium on Hydraulic Machinery and Systems: 12/08/2023-16/08/2023 Kashgar, China". Londres: Institute of Physics (IOP), 2023, ISBN 1742-6596. DOI 10.1088/1742-6596/2752/1/012219 .

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1742-6596

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