Research project

CRESCENDO - Prof. J. Scanlan - EU FP7

Research groups:

Computational Engineering and Design Group
Lead researchers:

Professor James Scanlan
Other researchers:

Professor Andy Keane
Research funder:

European Union
Status:

Not active

Staff

Lead researchers

Professor James Scanlan

Professor of Design

Connect with James

Email: J.P.Scanlan@soton.ac.uk

Other researchers

Professor Andy Keane DSc, FREng

Professor of Computational Engineering

Connect with Andy

Email: Andy.Keane@soton.ac.uk

Collaborating research institutes, centres and groups

Computational Engineering and Design Group

Our research group is a centre for multidisciplinary engineering simulation and design, combining a range of analytical, computational and experimental techniques.

Research outputs

Multi-fidelity multidisciplinary whole engine thermo-mechanical design optimization

David J.J. Toal, A.J. Keane, Diego Benito, Jeffery Dixon, Jingbin Yang, Matthew Price, Trevor Robinson, Alain Remouchamps & Norbert Kill, 2014, Journal of Propulsion and Power, 30(6), 1654-1666

DOI: 10.2514/1.B35128

Type: article

Mapping customer needs to engineering characteristics: an aerospace perspective for conceptual design

M.H. Eres, M. Bertoni, M. Kossmann & J.P. Scanlan, 2014, Journal of Engineering Design, 1-24

DOI: 10.1080/09544828.2014.903387

Type: article

Co-creation in complex supply chains: the benefits of a Value Driven Design approach

Marco Bertoni, Hakki Eres & James Scanlan, 2014

DOI: 10.1007/978-3-319-07404-7

Type: bookChapter

A value-focused approach for establishing requirements specification of commercial aircraft

Xinwei Zhang, Shurong Tong, Hakki Eres, Mario Kossmann & Keqin Wang, 2013, Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 228(11), 2033-2044

DOI: 10.1177/0954410013516302

Type: article

Bi-objective optimization of pylon-engine-nacelle assembly: weight vs. tip clearance criterion

D. Bettebghor, C. Blondeau, D. Toal & H. Eres, 2013, Structural and Multidisciplinary Optimization, 48(3), 637-652

DOI: 10.1007/s00158-013-0908-7

Type: article