Engineering design optimization using services and workflows

Thomas Crick, Peter Dunning, H Alicia Kim, Julian Padget

Research output: Contribution to journalArticlepeer-review

13 Citations (SciVal)


Multi-disciplinary design optimization (MDO) is the process whereby the often conflicting requirements of the different disciplines to the engineering design process attempts to converge upon a description that represents an acceptable compromise in the design space. We present a simple demonstrator of a flexible workflow framework for engineering design optimization using an e-Science tool. This paper provides a concise introduction to MDO, complemented by a summary of the related tools and techniques developed under the umbrella of the UK e-Science programme that we have explored in support of the engineering process. The main contributions of this paper are: (i) a description of the optimization workflow that has been developed in the Taverna workbench, (ii) a demonstrator of a structural optimization process with a range of tool options using common benchmark problems, (iii) some reflections on the experience of software engineering meeting mechanical engineering, and (iv) an indicative discussion on the feasibility of a ‘plug-and-play’ engineering environment for analysis and design.
Original languageEnglish
Pages (from-to)2741-2751
Number of pages11
JournalPhilosophical Transactions of the Royal Society A - Mathematical Physical and Engineering Sciences
Issue number1898
Early online date30 May 2009
Publication statusPublished - 13 Jul 2009

Bibliographical note

Proceedings paper from the UK e-Science All Hands Meeting. Edinburgh, Scotland, 8-11 September, 2008


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