TY - JOUR
T1 - Engineering design optimization using services and workflows
AU - Crick, Thomas
AU - Dunning, Peter
AU - Kim, H Alicia
AU - Padget, Julian
N1 - Proceedings paper from the UK e-Science All Hands Meeting. Edinburgh, Scotland, 8-11 September, 2008
PY - 2009/7/13
Y1 - 2009/7/13
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=67650283949&partnerID=8YFLogxK
UR - http://dx.doi.org/10.1098/rsta.2009.0035
U2 - 10.1098/rsta.2009.0035
DO - 10.1098/rsta.2009.0035
M3 - Article
SN - 1364-503X
VL - 367
SP - 2741
EP - 2751
JO - Philosophical Transactions of the Royal Society A - Mathematical Physical and Engineering Sciences
JF - Philosophical Transactions of the Royal Society A - Mathematical Physical and Engineering Sciences
IS - 1898
ER -