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Sponsored by the Center for Science and Technology Development of the Ministry of Education
Supervised by Ministry of Education of the People's Republic of China
This paper presents a numerical investigation on the potential aerodynamic benefits of using endwall contouring in a fairly aggressive duct with six struts based on the platform of the endwall design optimization. The platform was built with Adaptive Genetic Algorithm (AGA), Design of Experiments (DOE), Response Surface Methodology (RSM) based on the Artificial Neural Network (ANN) and a 3D Navier-Stokes solver. Visual analysis method based on DOE was used to define the design space and analyse the impact of the design parameters on the target function (response). Optimization of axisymmetric endwall contouring in the duct has been performed and evaluated. The objective was to minimize the total pressure loss. The optimal duct was found to reduce the hub corner separation and suppress the migration of the low momentum fluid. The axisymmetric endwall contouring was shown to suppress the separation and reduce the net duct loss by 22%.