Numerical assessment of parameters influencing the modal response of a Kaplan turbine model
العنوان: | Numerical assessment of parameters influencing the modal response of a Kaplan turbine model |
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المؤلفون: | Esteve Jou, Xavier Escaler, Oscar De La Torre, Rafel Roig |
المساهمون: | Universitat Politècnica de Catalunya. Doctorat en Enginyeria Mecànica, Fluids i Aeronàutica, Universitat Politècnica de Catalunya. Departament de Mecànica de Fluids, Universitat Politècnica de Catalunya. IFLUIDS - Grup de Recerca Barcelona Fluids & Energy Lab, Universitat Politècnica de Catalunya. FLUIDS - Enginyeria de Fluids |
المصدر: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
بيانات النشر: | Institute of Physics (IOP), 2021. |
سنة النشر: | 2021 |
مصطلحات موضوعية: | Fluid structure interaction, Enginyeria mecànica::Mecànica de fluids::Màquines hidràuliques i de fluids [Àrees temàtiques de la UPC], Modal analysis, 02 engineering and technology, 7. Clean energy, 01 natural sciences, Hydraulic turbines -- Fluid dynamics, 0103 physical sciences, Fluid–structure interaction, Turbines hidràuliques, 010301 acoustics, Structural response, Kaplan turbine, Added mass, Physics, business.industry, Kaplan turbine runner, Numerical assessment, Structural engineering, 021001 nanoscience & nanotechnology, Dinàmica de fluids, 0210 nano-technology, business, Rotor dynamics |
الوصف: | The present study intends to investigate numerically the impact of: i) the fluid added mass, ii) the turbine rotational speed and iii) the variation of the runner blade bearing stiffness due to the turbine water head on the modal response of a reduced scale Kaplan turbine. The impact of each variable has been quantified by means of a series of numerical modal analyses of the turbine in vacuum and in water, and at rest and rotating. It has been found that the natural frequencies of the Kaplan turbine model are sensitive to all the variables investigated in the present paper, the added mass being the factor which has the greatest impact. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 814958. The authors also wish to acknowledge Vattenfall for the technical support received for developing this work. |
وصف الملف: | application/pdf |
اللغة: | English |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4856eb96b61d2373aff167b59b6c8263 https://hdl.handle.net/2117/348008 |
Rights: | OPEN |
رقم الانضمام: | edsair.doi.dedup.....4856eb96b61d2373aff167b59b6c8263 |
قاعدة البيانات: | OpenAIRE |
الوصف غير متاح. |