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Multi-objective shape optimization of a hydraulic turbine runner using efficiency, strength and weight criteria Full article

Journal Structural and Multidisciplinary Optimization
ISSN: 1615-147X , E-ISSN: 1615-1488
Output data Year: 2018, Volume: 58, Number: 2, Pages: 627-640 Pages count : 14 DOI: 10.1007/s00158-018-1914-6
Tags Finite element analysis; Genetic algorithm; Hydraulic turbine runner; Thickness function; Three-dimensional flow simulation
Authors Chirkov Denis V. 2 , Ankudinova Anna S. 2 , Kryukov Artem E. 1 , Cherny Sergey G. 1,2 , Skorospelov Vladimir A. 3
Affiliations
1 Institute of Computational Technologies SB RAS, 6 Ak. Lavrentiev avenue, Novosibirsk, 630090, Russian Federation
2 Novosibirsk State University, 2 Pirogova Str., Novosibirsk, 630090, Russian Federation
3 Sobolev Institute of Mathematics SB RAS, 4 Ak. Koptyug avenue, Novosibirsk, 630090, Russian Federation

Abstract: 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 threeobjective 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.
Cite: Chirkov D.V. , Ankudinova A.S. , Kryukov A.E. , Cherny S.G. , Skorospelov V.A.
Multi-objective shape optimization of a hydraulic turbine runner using efficiency, strength and weight criteria
Structural and Multidisciplinary Optimization. 2018. V.58. N2. P.627-640. DOI: 10.1007/s00158-018-1914-6 WOS Scopus OpenAlex
Identifiers:
Web of science: WOS:000440107200016
Scopus: 2-s2.0-85044959247
OpenAlex: W2786997757
Citing:
DB Citing
Scopus 28
OpenAlex 32
Web of science 21
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