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.
|Number of pages||11|
|Journal||Philosophical Transactions of the Royal Society A - Mathematical Physical and Engineering Sciences|
|Early online date||30 May 2009|
|Publication status||Published - 13 Jul 2009|
Crick, T., Dunning, P., Kim, H. A., & Padget, J. (2009). Engineering design optimization using services and workflows. Philosophical Transactions of the Royal Society A - Mathematical Physical and Engineering Sciences, 367(1898), 2741-2751. https://doi.org/10.1098/rsta.2009.0035