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Multidisciplinary ADjoint Design Optimisation of Gasturbines

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Research Fellows / Open Positions

Early Stage Researcher 7 at NTUA

Shape parametrisation and integrated constrained optimisation loops for turbomachinery applications

The ESR will continue on from previous work/methods/software developed by PCOpt/NTUA related to continuous adjoint for  shape optimisation of turbomachinery blades. The above-mentioned methods exist for compressible flows, for gas turbines, see D.I. Papadimitriou et al, ‘Total Pressure Losses Minimization in Turbomachinery Cascades, Using a New Continuous Adjoint Formulation’, Proc. IMechE, Part A: Journal of Power and Energy, 221: 865-872, 2007, and incompressible flows, for hydraulic turbomachines, see E.M.Papoutsis-Kiachagias, ‘The Continuous Adjoint Method for the Design of Hydraulic Turbomachines’, Computer Methods in Applied Mechanics and Engineering, 278:621-639, 2014. The former is now running on GPUs whereas the latter is based on OpenFOAM. In this project, the ESR will move from sensitivities with respect to the normal displacement of blade surfaces to an in-house parameterization tool for turbomachinery (compressor, turbines) blades. In order to do so, the parameterization tool has to be differentiated. Existing mesh-movement techniques will be expanded to support an integrated optimization tool. Handling geometrical constraints will be an indispensable part of this project.  

Objectives:

  • M4-M8: Familiarization with existing tools. Integration of the in-house parametrisation tool for turbomachinery applications into the adjoint-based optimisation loop. Link with both the in-house GPU-enabled CFD code (compressible) & OpenFOAM (incompressible) and their (continuous) adjoints. (WP4)
  • M8-M18: Differentiation (AD or hand-differentiation or both) of the parametrisation procedure. Minimum link with CAD; links with visualisation software/environment (Paraview).  Secondment to VKI (WP4)
  • M14-M28: Handling geometrical constraints in the aforementioned parametrisation. Link with GUI. Integration. (WP5)
  • M24-M34: Mesh movement and smoothing techniques, based on (a) RBF-morphing and (b) the harmonic coordinates method. Comparison between them. Cost reduction based on incremental/greedy algorithms and sensitivity analysis. Integration in workflow. (WP6)
  • M12-M40: Turbomachinery applications.  Secondment to RRD (WP1)

For further details, contact Prof. Kyrakos Giannakoglou, kgianna@central.ntua.gr

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