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Engineering design optimization using services and workflows

Tom Crick Orcid Logo, Peter Dunning, Hyunsun Kim, Julian Padget

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Volume: 367, Issue: 1898, Pages: 2741 - 2751

Swansea University Author: Tom Crick Orcid Logo

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DOI (Published version): 10.1098/rsta.2009.0035

Abstract

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...

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Published in: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
ISSN: 1364-503X 1471-2962
Published: The Royal Society 2009
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URI: https://cronfa.swan.ac.uk/Record/cronfa43398
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spelling 2022-12-18T17:48:51.6550761 v2 43398 2018-08-14 Engineering design optimization using services and workflows 200c66ef0fc55391f736f6e926fb4b99 0000-0001-5196-9389 Tom Crick Tom Crick true false 2018-08-14 EDUC 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. Journal Article Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367 1898 2741 2751 The Royal Society 1364-503X 1471-2962 13 7 2009 2009-07-13 10.1098/rsta.2009.0035 http://rsta.royalsocietypublishing.org/content/367/1898/2741 COLLEGE NANME Education COLLEGE CODE EDUC Swansea University 2022-12-18T17:48:51.6550761 2018-08-14T15:45:15.6784460 Faculty of Humanities and Social Sciences School of Social Sciences - Education and Childhood Studies Tom Crick 0000-0001-5196-9389 1 Peter Dunning 2 Hyunsun Kim 3 Julian Padget 4 0043398-12092018065125.pdf 997-revised.pdf 2018-09-12T06:51:25.9330000 Output 588134 application/pdf Accepted Manuscript true 2018-09-12T00:00:00.0000000 true eng
title Engineering design optimization using services and workflows
spellingShingle Engineering design optimization using services and workflows
Tom Crick
title_short Engineering design optimization using services and workflows
title_full Engineering design optimization using services and workflows
title_fullStr Engineering design optimization using services and workflows
title_full_unstemmed Engineering design optimization using services and workflows
title_sort Engineering design optimization using services and workflows
author_id_str_mv 200c66ef0fc55391f736f6e926fb4b99
author_id_fullname_str_mv 200c66ef0fc55391f736f6e926fb4b99_***_Tom Crick
author Tom Crick
author2 Tom Crick
Peter Dunning
Hyunsun Kim
Julian Padget
format Journal article
container_title Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
container_volume 367
container_issue 1898
container_start_page 2741
publishDate 2009
institution Swansea University
issn 1364-503X
1471-2962
doi_str_mv 10.1098/rsta.2009.0035
publisher The Royal Society
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Social Sciences - Education and Childhood Studies{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Social Sciences - Education and Childhood Studies
url http://rsta.royalsocietypublishing.org/content/367/1898/2741
document_store_str 1
active_str 0
description 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.
published_date 2009-07-13T03:54:39Z
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score 11.037056

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