Author/Authors :
Pholdee, N. Sustainable Infrastructure Research and Department of Mechanical Engineering - Faculty of Engineering, Khon Kaen University, Thailand , Nuantong, W. Department of Mechatronics Engineering - Faculty of Engineering - Rajamangala University of Technology Isan - Khon Kaen Campus, Thailand , Taechajedcadarungsri, S. Department of Mechanical Engineering - Faculty of Engineering - Ubon Ratchathani University, Thailand , Bureerat, S. Sustainable Infrastructure Research and Department of Mechanical Engineering - Faculty of Engineering, Khon Kaen University, Thailand
Abstract :
bstract. The present study investigates the design of a very low head axial
ow turbine using surrogate-based optimization. The design variables were blade angles between guide
vanes and runner blades with the objective function of turbine eciency. A Latin hypercube
sampling method was initially used to design the experiment with thirty sampling points,
and a large eddy simulation was modeled to analyze the ow for all sampling points. The
correlation between the design variables and turbine eciency was then evaluated using
surrogate models while the optimal design variables were identied. In addition, several
optimizers were employed to tackle the proposed problem and evaluate their performance.
The optimal design of blade angles 1
Keywords :
Optimization , Blade angle , Response surface , Surrogate model , Large Eddy Simulation
