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Design optimization of axial flow hydraulic turbine runner: Part II—multi‐objective constrained optimization method
Author(s) -
Peng Guoyi,
Cao Shuliang,
Ishizuka Masaru,
Hayama Shinji
Publication year - 2002
Publication title -
international journal for numerical methods in fluids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 112
eISSN - 1097-0363
pISSN - 0271-2091
DOI - 10.1002/fld.343
Subject(s) - shape optimization , computation , turbine , flow (mathematics) , engineering , multi objective optimization , optimization problem , mathematical optimization , control theory (sociology) , computer science , mathematics , mechanical engineering , finite element method , structural engineering , algorithm , geometry , control (management) , artificial intelligence
This paper is concerned with the design optimization of axial flow hydraulic turbine runner blade geometry. In order to obtain a better design plan with good performance, a new comprehensive performance optimization procedure has been presented by combining a multi‐variable multi‐objective constrained optimization model with a Q3D inverse computation and a performance prediction procedure. With careful analysis of the inverse design of axial hydraulic turbine runner, the total hydraulic loss and the cavitation coefficient are taken as optimization objectives and a comprehensive objective function is defined using the weight factors. Parameters of a newly proposed blade bound circulation distribution function and parameters describing positions of blade leading and training edges in the meridional flow passage are taken as optimization variables. The optimization procedure has been applied to the design optimization of a Kaplan runner with specific speed of 440 kW. Numerical results show that the performance of designed runner is successfully improved through optimization computation. The optimization model is found to be validated and it has the feature of good convergence. With the multi‐objective optimization model, it is possible to control the performance of designed runner by adjusting the value of weight factors defining the comprehensive objective function. Copyright © 2002 John Wiley & Sons, Ltd.