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MADDOG SIGNED

Multidisciplinary Adjoint Design Optimisation of Gasturbines

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

MADDOG project word cloud

Explore the words cloud of the MADDOG project. It provides you a very rough idea of what is the project "MADDOG" about.

components proprietary extension fellow gained computational complete performance gradient differs multiple skilled adjoint dynamics time suitable preventing million cad turbomachinery longer leader optimizations designs methodology sub inherently gasturbine master first background modern accessible true invariably revolutionize aerodynamic goes mainly power differentiation significantly geometry nature von dedicated optimization considerations free shared interactions concurrently performed disciplines degrees aerodynamics multidisciplinary simulations gasturbines structural prospect researcher techniques until mechanics freedom involvement optimal karman area parameterisations developer achievable avoiding vibration entire

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 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.	UK (LONDON)	coordinator	195˙454.00

Map

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

List of publications.
year	authors and title	journal	last update
2017	Tom Verstraete, Lasse MÃ¼ller, Jens-Dominik MÃ¼ller 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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