Engineering design optimization using services and workflows
Author(s) -
Tom Crick,
Peter D. Dunning,
Hyunsun A. Kim,
Julián Padget
Publication year - 2009
Publication title -
philosophical transactions of the royal society a mathematical physical and engineering sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.074
H-Index - 169
eISSN - 1471-2962
pISSN - 1364-503X
DOI - 10.1098/rsta.2009.0035
Subject(s) - workflow , computer science , engineering design process , multidisciplinary design optimization , software engineering , systems engineering , process (computing) , engineering optimization , workbench , process design , visualization , work in process , engineering , optimization problem , mechanical engineering , database , artificial intelligence , operations management , operating system , social science , algorithm , multidisciplinary approach , sociology
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.
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