Unsteady Adjoint of Pressure Loss for a Fundamental Transonic Turbine Vane

High fidelity simulations, e.g., large eddy simulation are often needed for accurately predicting pressure losses due to wake mixing and boundary layer development in turbomachinery applications. An unsteady adjoint of high fidelity simulations is useful for design optimization in such aerodynamic a...

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Bibliographic Details
Main Authors: Laskowski, Gregory M. (Author), Talnikar, Chaitanya Anil (Contributor), Wang, Qiqi (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor), Massachusetts Institute of Technology. Computation for Design and Optimization Program (Contributor)
Format: Article
Language:English
Published: ASME International, 2018-06-11T16:02:14Z.
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042 |a dc 
100 1 0 |a Laskowski, Gregory M.  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Aeronautics and Astronautics  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Computation for Design and Optimization Program  |e contributor 
100 1 0 |a Talnikar, Chaitanya Anil  |e contributor 
100 1 0 |a Wang, Qiqi  |e contributor 
700 1 0 |a Talnikar, Chaitanya Anil  |e author 
700 1 0 |a Wang, Qiqi  |e author 
245 0 0 |a Unsteady Adjoint of Pressure Loss for a Fundamental Transonic Turbine Vane 
260 |b ASME International,   |c 2018-06-11T16:02:14Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/116206 
520 |a High fidelity simulations, e.g., large eddy simulation are often needed for accurately predicting pressure losses due to wake mixing and boundary layer development in turbomachinery applications. An unsteady adjoint of high fidelity simulations is useful for design optimization in such aerodynamic applications. In this paper we present unsteady adjoint solutions using a large eddy simulation model for a vane from VKI using aerothermal objectives. The unsteady adjoint method is effective in capturing the gradient for a short time interval aerothermal objective, whereas the method provides diverging gradients for long timeaveraged thermal objectives. As the boundary layer on the suction side near the trailing edge of the vane is turbulent, it poses a challenge for the adjoint solver. The chaotic dynamics cause the adjoint solution to diverge exponentially from the trailing edge region when solved backwards in time. This results in the corruption of the sensitivities obtained from the adjoint solutions. An energy analysis of the unsteady compressible Navier-Stokes adjoint equations indicates that adding artificial viscosity to the adjoint equations can dissipate the adjoint energy while potentially maintain the accuracy of the adjoint sensitivities. Analyzing the growth term of the adjoint energy provides a metric for identifying the regions in the flow where the adjoint term is diverging. Results for the vane from simulations performed on the Titan supercomputer are demonstrated. 
520 |a United States. Department of Energy. Office of Science (Contract DE-AC05-00OR22725) 
655 7 |a Article 
773 |t Volume 5A: Heat Transfer