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Multidisciplinary Adjoint Design Optimisation of Gasturbines

Objective

Adjoint based design optimization techniques are widely recognized as having a large potential to revolutionize the design process of modern gasturbines. By applying such techniques, the optimization of the entire gasturbine system with million degrees of freedom is within reach of the current available computational power. Such simulations include inherently all interactions between the different components avoiding sub-optimal designs.
However, today’s reality is far from this prospect. Current adjoint design optimization techniques only consider aerodynamic performance, preventing the optimization of complete systems, as they are by their very nature multidisciplinary. This project will develop an adjoint optimization methodology that goes beyond only aerodynamic considerations and includes other disciplines such as structural mechanics and vibration dynamics concurrently for the first time, such that in the longer term optimization of complete systems will be achievable.
The key to achieving a true multidisciplinary adjoint design optimization is to work with a master CAD geometry that is shared between all the different disciplines. This differs significantly from the current practice in adjoint techniques, which mainly considers parameterisations that are suitable for only aerodynamic optimizations. The involvement of a master CAD geometry requires the differentiation of a CAD system, until now this has not been performed as CAD systems are invariably proprietary and as such not accessible. In addition, the extension of the methodology to multiple disciplines requires for a highly skilled researcher with a background in aerodynamics as well as structural mechanics.
The fellow of this proposal is a research leader at the Von Karman Institute, which has gained significant experience in the area of multidisciplinary design optimization of turbomachinery over the past 9 years and is the developer of a gradient free optimization system which includes a dedicated

Field of science

  • /engineering and technology/mechanical engineering/vehicle engineering/automotive engineering
  • /engineering and technology/environmental engineering/energy and fuels/energy conversion
  • /natural sciences/mathematics/pure mathematics/geometry

Call for proposal

H2020-MSCA-IF-2014
See other projects for this call

Funding Scheme

MSCA-IF-EF-ST - Standard EF

Coordinator

QUEEN MARY UNIVERSITY OF LONDON
Address
327 Mile End Road
E1 4NS London
United Kingdom
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 195 454,80