CAD-Based Adjoint Shape Optimisation of a One-Stage Turbine With Geometric Constraints

Author:

Xu Shenren1,Radford David2,Meyer Marcus3,Müller Jens-Dominik4

Affiliation:

1. University of Liverpool, Liverpool, UK

2. Rolls-Royce plc, Derby, UK

3. Rolls-Royce Deutschland Ltd & Co KG, Blankenfelde-Mahlow, Germany

4. Queen Mary University of London, London, UK

Abstract

An extension of the CAD-based parametrisation termed ‘NURBS-based parametrisation with complex constraints’, or NsPCC, is developed and applied to the aerodynamic shape optimisition of a one-stage high pressure turbine. NsPCC uses a test-point approach to impose various geometric constraints such as continuity, thickness and trailing edge radius constraint. To perform the shape optimisation using NsPCC, The surface sensitivity is first computed efficiently using a discrete adjoint solver. The displacements of the control points of the NURBS patches are used as the design variables and linked to the surface sensitivity through consistent application of Automatic Differentiation. A robust mesh deformation based on linear elasticity and further enhanced with sliding mesh capability is used to deform the mesh at each design step. Finally, the optimised rotor shape is exported as a STEP file. The method is demonstrated on a turbine stage where isentropic efficiency is improved by over 0.4% with both the inlet capacity and rotor reaction ratio deviation below the prescribed thresholds. Satisfaction of the G1 continuity, thickness and trailing radius constraints is verified.

Publisher

American Society of Mechanical Engineers

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1. A review on aerodynamic optimization of turbomachinery using adjoint method;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2024-01-23

2. Aerodynamic adjoint optimization of turbomachinery with direct control on blade design parameters;Chinese Journal of Aeronautics;2023-11

3. An efficient geometric constraint handling method for surrogate-based aerodynamic shape optimization;Engineering Applications of Computational Fluid Mechanics;2023-01-06

4. A Unified Geometry Parametrization Method for Turbomachinery Blades;Computer-Aided Design;2021-04

5. A Framework of gradient-based shape optimization using feature-based CAD parameterization;AIAA Scitech 2020 Forum;2020-01-05

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