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ROBUSTNESS IMPROVEMENT USING OPEN SOURCE CODE LIBRARIES

Part of: Design Support Tools

Published online by Cambridge University Press:  11 June 2020

J. Sanchez ,
Z. Björkman  and
K. N. Otto
J. Sanchez
Affiliation:
Aalto University, Finland
Z. Björkman
Affiliation:
Aalto University, Finland
K. N. Otto*
Affiliation:
Aalto University, Finland
*
*[email protected]

Abstract

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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.

Keywords

robust designcomputational design methodsdesign automationopen source design
Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 365 - 374
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2020. Published by Cambridge University Press

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