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Multidisciplinary ADjoint Design Optimisation of Gasturbines

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Research Fellows / Open Positions

Early Stage Researcher 8 at NTUA

Combined shape-topology optimisation with constraints for automotive applications

The ESR will continue on from previous work/methods/software developed by PCOpt/NTUA related to continuous adjoint for  shape and topology optimization, for car applications. These methods are programmed in OpenFOAM see A.S. Zymaris et al., ‘Adjoint Wall Functions: A New Concept for Use in Aerodynamic Shape Optimization’, and E.A. Kontoleontos et al., ‘Adjoint-based constrained topology optimization for viscous flows, including heat transfer’. In this project, topology and shape optimisation methods will be coupled in a sequential/hierarchical manner giving rise to an integrated software, by solving problems related to their interfacing. The optimal geometry will be compatible with widely used CAD formats. Handling geometrical constraints will be an indispensable part of this project.  

Objectives:

  • M6-M18: Familiarisation with existing tools. Development and evaluation of hierarchical optimisation schemes based on the combined use of shape and level-set based topology optimisation. Compatibility with CAD software. Secondment to ENGYS (WP2)
  • M16-M26: Transition from topology to shape optimisation: Surface smoothing for topology optimisation, the CAD-model reconstruction and the subsequent shape optimisation. Methods based on Lattice-Boltzman equations and the Marching Cubes algorithm will be investigated. An integrated/automated kernel is targeted. (WP3,6)
  • M24-M34: Including flow and geometrical constraints (e.g. curvature) in topology optimisation. Truncated Newton-based SQP algorithms for handling constraints. (WP5)
  • M30-M38: Compatibility of the hierarchical shape-topology optimisation with CAD software. Linked with RBF-based morphing and the harmonic coordinates method as developed by ESR7. (WP3,4)
  • M12-M42: Integration. Automotive industry applications. Secondment to VW (WP1)

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

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