Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Multi-objective shape optimization of a hydraulic turbine runner using efficiency, strength and weight criteria. / Chirkov, Denis V.; Ankudinova, Anna S.; Kryukov, Artem E. и др.
в: Structural and Multidisciplinary Optimization, Том 58, № 2, 08.2018, стр. 627-640.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Multi-objective shape optimization of a hydraulic turbine runner using efficiency, strength and weight criteria
AU - Chirkov, Denis V.
AU - Ankudinova, Anna S.
AU - Kryukov, Artem E.
AU - Cherny, Sergey G.
AU - Skorospelov, Vladimir A.
N1 - Funding Information: The work was done in the framework of state assignment for the Institute of Computational Technologies of Siberian Branch of Russian Academy of Sciences (topic No. 0316-2015-0001). Publisher Copyright: © 2018, Springer-Verlag GmbH Germany, part of Springer Nature. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/8
Y1 - 2018/8
N2 - An approach for multi-discipline automatic optimization of the hydraulic turbine runner shape is presented. The approach accounts hydraulic efficiency, mechanical strength and the weight of the runner. In order to effectively control the strength and weight of the runner, a new parameterization of the blade thickness function is suggested. Turbine efficiency is evaluated through numerical solution of Reynolds-averaged Navier-Stokes equations, while the finite element method is used to evaluate the von Mises stress in the runner. An objective function, being the weighted sum of maximal stress and the blade volume, is suggested to account for both the strength and weight of the runner. Multi-objective genetic algorithm is used to solve the optimization problem. The suggested approach has been applied to automatic design of a Francis turbine runner. Series of three-objective optimization runs have been carried out. The obtained results clearly indicate that simultaneous account of stress and weight objectives accompanied by thickness variation allows obtaining high efficiency, light and durable turbine runners.
AB - An approach for multi-discipline automatic optimization of the hydraulic turbine runner shape is presented. The approach accounts hydraulic efficiency, mechanical strength and the weight of the runner. In order to effectively control the strength and weight of the runner, a new parameterization of the blade thickness function is suggested. Turbine efficiency is evaluated through numerical solution of Reynolds-averaged Navier-Stokes equations, while the finite element method is used to evaluate the von Mises stress in the runner. An objective function, being the weighted sum of maximal stress and the blade volume, is suggested to account for both the strength and weight of the runner. Multi-objective genetic algorithm is used to solve the optimization problem. The suggested approach has been applied to automatic design of a Francis turbine runner. Series of three-objective optimization runs have been carried out. The obtained results clearly indicate that simultaneous account of stress and weight objectives accompanied by thickness variation allows obtaining high efficiency, light and durable turbine runners.
KW - Finite element analysis
KW - Genetic algorithm
KW - Hydraulic turbine runner
KW - Thickness function
KW - Three-dimensional flow simulation
KW - STEADY
KW - MULTIDISCIPLINARY
KW - DESIGN
KW - FLUID
KW - Three-dimensional flowsimulation
KW - NUMERICAL-SIMULATION
KW - FLOW
UR - http://www.scopus.com/inward/record.url?scp=85044959247&partnerID=8YFLogxK
U2 - 10.1007/s00158-018-1914-6
DO - 10.1007/s00158-018-1914-6
M3 - Article
AN - SCOPUS:85044959247
VL - 58
SP - 627
EP - 640
JO - Structural and Multidisciplinary Optimization
JF - Structural and Multidisciplinary Optimization
SN - 1615-147X
IS - 2
ER -
ID: 12475354