ROBUSTNESS IMPROVEMENT USING OPEN SOURCE CODE LIBRARIES

J. Sanchez, Z. Björkman, K. N. Otto

Research output: Contribution to journalConference articleScientificpeer-review

2 Citations (Scopus)
9 Downloads (Pure)

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.

Original languageEnglish
Pages (from-to)365-374
Number of pages10
JournalProceedings of the Design Society: DESIGN Conference
Volume1
DOIs
Publication statusPublished - 11 Jun 2020
MoE publication typeA4 Article in a conference publication
EventInternational Design Conference - Virtual, Online
Duration: 26 Oct 202029 Oct 2020
Conference number: 16

Keywords

  • computational design methods
  • design automation
  • open source design
  • robust design

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