ROBUSTNESS IMPROVEMENT USING OPEN SOURCE CODE LIBRARIES

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Conference article
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Author
Date
2020-06-11
Department
Department of Mechanical Engineering
Advanced Manufacturing and Materials
Major/Subject
Mcode
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Language
en
Pages
10
365-374
Series
Proceedings of the Design Society: DESIGN Conference, Volume 1
Abstract
Computer tools are commonly used to assess designs. We develop a toolchain using open source code libraries in Python to provide an open source, interactive robust design improvement toolchain. A reference folder contains a script that reads an input parameter value file and runs the simulation. The toolchain executes uncertainty quantification steps by replicating the reference folder. This is repeated for design points, and mean and sigma graphs generated versus each design variable. This fits within a workflow of defining variation modes, design variables, and toolchain execution.
Description
Funding Information: This work was made possible with support from an Academy of Finland, Project Number 310252. Publisher Copyright: © The Author(s), 2020. Published by Cambridge University Press.
Keywords
computational design methods, design automation, open source design, robust design
Other note
DOI
10.1017/dsd.2020.82
Citation
Sanchez , J , Björkman , Z & Otto , K N 2020 , ' ROBUSTNESS IMPROVEMENT USING OPEN SOURCE CODE LIBRARIES ' , Proceedings of the Design Society: DESIGN Conference , vol. 1 , pp. 365-374 . https://doi.org/10.1017/dsd.2020.82
Permanent link to this item
https://urn.fi/URN:NBN:fi:aalto-202108048211
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[article-cris] Insinööritieteiden korkeakoulu / ENG