Flow distortion based S-duct optimization using adjoint methodology

V Kamat, V Rao, M Xu, S Saxena - AIAA Aviation 2020 Forum, 2020 - arc.aiaa.org
V Kamat, V Rao, M Xu, S Saxena
AIAA Aviation 2020 Forum, 2020arc.aiaa.org
In the present work, a duct geometry is optimized to reduce the flow distortion using adjoint
method. The S-duct geometry is from AIAA Propulsion and Aerodynamics Workshop (PAW
[1]). ANSYS Fluent Adjoint solver is used to run the design optimization study. The workflow
involves a 4-step process: CFD run, adjoint calculation, design calculation based on the
sensitivity data and environment constraints, and mesh update. This process is repeated
until the optimum geometry is obtained. The variance of total pressure at the Aerodynamic …
In the present work, a duct geometry is optimized to reduce the flow distortion using adjoint method. The S-duct geometry is from AIAA Propulsion and Aerodynamics Workshop (PAW [1]). ANSYS Fluent Adjoint solver is used to run the design optimization study. The workflow involves a 4-step process: CFD run, adjoint calculation, design calculation based on the sensitivity data and environment constraints, and mesh update. This process is repeated until the optimum geometry is obtained. The variance of total pressure at the Aerodynamic Interface Plane (AIP) is chosen as the quantity of interest. It correlates well with the circumferential and radial distortion index (CDI & RDI) as defined in [2], which indicates flow distortion at the inlet/exit plane. After 3 design iterations, the variance of total pressure and the average CDI at AIP was reduced by 20.91% and 8.36% respectively, while the maximum CDI and RDI showed a drop of 2.15% and 12.37% respectively.
AIAA Aerospace Research Center
以上显示的是最相近的搜索结果。 查看全部搜索结果