Sh. Derakhshan and A. Mostafavi
Optimization of GAMM Francis Turbine Runner
2132 - 2138
2011
5
11
International Journal of Agricultural and Biosystems Engineering
https://publications.waset.org/pdf/4986
https://publications.waset.org/vol/59
World Academy of Science, Engineering and Technology
Nowadays, the challenge in hydraulic turbine design is
the multiobjective design of turbine runner to reach higher
efficiency. The hydraulic performance of a turbine is strictly depends
on runner blades shape. The present paper focuses on the application
of the multiobjective optimization algorithm to the design of a small
Francis turbine runner. The optimization exercise focuses on the
efficiency improvement at the best efficiency operating point (BEP)
of the GAMM Francis turbine. A global optimization method based
on artificial neural networks (ANN) and genetic algorithms (GA)
coupled by 3D NavierStokes flow solver has been used to improve
the performance of an initial geometry of a Francis runner. The
results show the good ability of optimization algorithm and the final
geometry has better efficiency with initial geometry. The goal was to
optimize the geometry of the blades of GAMM turbine runner which
leads to maximum total efficiency by changing the design parameters
of camber line in at least 5 sections of a blade. The efficiency of the
optimized geometry is improved from 90.7 to 92.5. Finally,
design parameters and the way of selection have been considered and
discussed.
Open Science Index 59, 2011