Volume 36 Issue 9
Sep.  2021
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LI Jiaxing, LUO Jiaqi, CAO Zhiyuan. Adjoint-based aerodynamic design optimization of transonic turbine cascades considering different constraints[J]. Journal of Aerospace Power, 2021, 36(9): 1986-1998. doi: 10.13224/j.cnki.jasp.20200468
Citation: LI Jiaxing, LUO Jiaqi, CAO Zhiyuan. Adjoint-based aerodynamic design optimization of transonic turbine cascades considering different constraints[J]. Journal of Aerospace Power, 2021, 36(9): 1986-1998. doi: 10.13224/j.cnki.jasp.20200468

Adjoint-based aerodynamic design optimization of transonic turbine cascades considering different constraints

doi: 10.13224/j.cnki.jasp.20200468
  • Received Date: 2020-11-02
  • Publish Date: 2021-09-28
  • A simplified method based on non-reflecting boundary theory for determining the inlet and outlet boundary conditions of adjoint equations was introduced,by which the aerodynamic design optimization of turbomachinery blade considering different constraints was investigated.The results showed that the simplified adjoint equations strongly coupling with flow under inlet and outlet boundary conditions were sufficiently accurate and applicable in different constrained optimization design.After outlet specific entropy design optimization without constraints,the outlet specific entropy decreased by 0.253%,with varied passage area and outlet flow angle.Considering the constraints of outlet flow angle and passage area separately and the constraints from both of them,the outlet specific entropy after optimization decreased by 0.176%,0.227% and 0.164%,respectively.The aerodynamic performance of the optimized blades was significantly improved,while the optimization constraints were maintained.Moreover,the results demonstrated that changing the curvature of blade profile weakened the shock wave effectively.When the curvature of front portions decreased,the flow velocity decelerated and the outlet flow angle increased,meanwhile when the curvature of front portions changed slightly,the outlet flow angle was constrained better.

     

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