Engineering design optimization using services and workflows

Tom Crick, Peter Dunning, Hyunsun Kim, Julian Padget*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)


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 date1 Jun 2009
Publication statusPublished - 13 Jul 2009
EventUK e-Science All Hands Meeting 2008 - Edinburgh, United Kingdom
Duration: 8 Sep 200811 Sep 2008


  • multi-disciplinary design optimization
  • web services
  • workflows
  • semantic web
  • environment
  • taverna


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