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Industrial Optimal Design using Adjoint CFD

Welcome to the IODA Project Website

  • Application of the CAD-free morphing framework on an external aerodynamic case with advanced filtering methods
  • Optimised Compressor Stator Exit Angle deviation
  • Optimized Compressor Stator Isentropic Mach number contour
  • Streamlines around the TUM DrivAer vehicle

IODA is an Initial Training Network (ITN) funded by the European Commission from January 2015 to December 2018. IODA follows on from the EC projects FlowHead and About Flow and aims to advance with the systematic integration of adjoint-based design optimisation with CFD into the regular development processes. The developments focus on:

  • The missing link to CAD: part design starts from a CAD geometry and has to deliver the optimised geometry in CAD. However, there is currently no practicable way of either optimising directly on CAD geometries or generating a CAD model from the optimisation results. The currently practised manual capture is inefficient and loses important geometric details.

  • The missing link between topology and shape optimisation: Topology optimisation delivers ragged surfaces as the topology is based on the volume mesh. The currently employed smoothing techniques mitigate this problem insufficiently and often deliver geometries that do not respect the packaging space or manufacturing constraints, making the optimal shape non-feasible.

  • The missing option of considering constrains: Essentially all optimisation tasks in the automotive and turbomachinery industry are actually not primarily driven by pure performance but by constraints (packaging constraints for shape optimisation, trailing-edge radius for thermal life of turbine blades, manufacturability, etc), hence this shortcoming is especially critical. It restricts the usability specifically of shape optimisation methods to just a few selected applications, where constraints do not dominate or can be accounted for post-optimisation – and thereby diminishing the obtained gain in performance.

Recent Publications

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Ilias Vasilopoulos successfully defends his PhD thesis
Ilias has successfully defended his PhD thesis on "CAD-based and CAD-free Aerodynamic Shape Optimization of Turbomachinery Blade Rows using the ...
Rejish Jesudasan successfully defends his thesis
Rejish successfully defended his thesis on "An Adaptive Parametrisation Method for Shape Optimisation Using Adjoint Sensitivities". Owing to SARS-CoV-2, the ...
Proud achievement or Dheeraj Agarwal
The most proud achievement of Dheeraj so far, I'm sure his female supervisor was closely watching whether he is applying ...

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