Investigating the Effectiveness of a Causal MBSE Software Tool in Modelling CubeSat Conceptual Design Data

Stephen Peters, Clément Fortin, Grant McSorley

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This work is part of ongoing research into the adoption of the SAPPhIRE Model of Causality as a framework for the management of conceptual design data. Due to the prevalence of behavioural data and frequent iterations found in conceptual design, PLM systems can struggle to maintain a coherent product definition. Previous work has demonstrated the utility of the SAPPhIRE Model for representing causality at multiple points in a system’s lifecycle, however its integration into a Model Based Systems Engineering (MBSE) environment has not been explored. This paper presents the development, testing and study results of the novel software tool named OPAL. OPAL is a MBSE software tool based on the SAPPhIRE Model for the capture, management, representation and sharing of conceptual design data. Engineering student participants used OPAL to carry out typical CubeSat conceptual design activities within a test environment. The results of the study show that the students were able to effectively utilize OPAL’s functions with only a short introduction, with 85% reporting it easy to use. In contrast to their traditional file management software and practices, the visual representation of the data via the SAPPhIRE Models made it significantly easier to be able to track and find data using the causal links, regardless of the subsystem being studied. It was concluded that further development of OPAL as a proof of concept should be undertaken, to both further investigate the conceptual design phase, and to support other phases of the lifecycle.

Original languageEnglish
Title of host publicationProduct Lifecycle Management. Green and Blue Technologies to Support Smart and Sustainable Organizations
EditorsOsiris Canciglieri Junior, Frédéric Noël, Louis Rivest, Abdelaziz Bouras
PublisherSpringer Science and Business Media Deutschland GmbH
Pages128-142
Number of pages15
ISBN (Print)9783030943981
DOIs
Publication statusPublished - 2022
Event7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021 - Virtual, Online
Duration: 4 Oct 20218 Oct 2021

Publication series

NameIFIP Advances in Information and Communication Technology
Volume640 IFIP
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021
CityVirtual, Online
Period4/10/218/10/21

Keywords

  • Behaviour
  • Causality
  • Conceptual design
  • Model based systems engineering
  • Product lifecycle management

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