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MADDOG SIGNED

Multidisciplinary Adjoint Design Optimisation of Gasturbines

Total Cost €

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EC-Contrib. €

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Partnership

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Project "MADDOG" data sheet

The following table provides information about the project.

Coordinator
QUEEN MARY UNIVERSITY OF LONDON 

Organization address
address: 327 MILE END ROAD
city: LONDON
postcode: E1 4NS
website: http://www.qmul.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website http://maddog.sems.qmul.ac.uk/
 Total cost 195˙454 €
 EC max contribution 195˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2015
 Duration (year-month-day) from 2015-09-01   to  2017-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    QUEEN MARY UNIVERSITY OF LONDON UK (LONDON) coordinator 195˙454.00

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 Project 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

 Publications

year authors and title journal last update
List of publications.
2017 Tom Verstraete, Lasse Müller, Jens-Dominik Müller
Adjoint-Based Design Optimisation of an Internal Cooling Channel U-Bend for Minimised Pressure Losses
published pages: 10, ISSN: 2504-186X, DOI: 10.3390/ijtpp2020010
International Journal of Turbomachinery, Propulsion and Power 2/2 2019-06-18

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