Clustering cross-domain simulation, measurement and process data to derive data-model requirements for vitrimer qualification

Symposium Design for X (DFX), pp. 100–109

Abstract

Vitrimers are promising materials for sustainable lightweight structures, e.g. in battery electric vehicles. Their current research spans molecular simulation, testing and manufacturing, generating heterogeneous multiscale data that currently reside in isolated files, limiting reuse and cross-domain analysis. Graph-based data management can capture this data efficiently. We record domain workflows via structured questionnaires and code them using the Gioia methodology. This results in seven aggregate dimensions. These are translated into competency questions specifying the entities and relationships a labelled property graph data model must represent. On this basis, we extend an existing Vitrimer Base Schema towards an extensible model for cross-domain vitrimer qualification.

Authors 15

1. Peter Dammann
2. Bernhard Saske

   Technische Universität Dresden

   Affiliation as printed

   Institute of Machine Elements and Machine Design , Chair of Virtual Product Development -VPE , TUD Dresden University of Technology , George-Bähr-Straße 3c , 01069 Dresden , Germany

3. Jannick Fuchs Aachen Institute for Plastics Processing in Industry and the Skilled Crafts -IKV

   RWTH Aachen University

   Affiliation as printed

   Institute for Plastics Processing in Industry and the Skilled Crafts -IKV , RWTH Aachen University , Seffenter Weg 201 , 52074 Aachen , Germany

4. Jonathan Alms Aachen Institute for Plastics Processing in Industry and the Skilled Crafts -IKV

   RWTH Aachen University

   Affiliation as printed

   Institute for Plastics Processing in Industry and the Skilled Crafts -IKV , RWTH Aachen University , Seffenter Weg 201 , 52074 Aachen , Germany

5. Michael Lang

   Leibniz Institute of Polymer Research

   Affiliation as printed

   Leibniz Institute of Polymer Research Dresden -IPF , Hohe Straße 6 , 01069 Dresden , Germany

6. Olga Guskova

   Leibniz Institute of Polymer Research

   Affiliation as printed

   Leibniz Institute of Polymer Research Dresden -IPF , Hohe Straße 6 , 01069 Dresden , Germany

7. M. Müller
8. Bernd Gruber

   Technische Universität Dresden

   Affiliation as printed

   Institute of Lightweight Engineering and Polymer Technology -ILK , TUD Dresden University of Technology , Holbeinstraße 3 , 01307 Dresden , Germany

9. Christoph Beier Aachen Welding and Joining Institute ISF

   RWTH Aachen University

   Affiliation as printed

   Welding and Joining Institute -ISF , RWTH Aachen University , Pontstraße 49 , 52062 Aachen , Germany

10. Maximilian Heym Aachen Welding and Joining Institute ISF

    RWTH Aachen University

    Affiliation as printed

    Welding and Joining Institute -ISF , RWTH Aachen University , Pontstraße 49 , 52062 Aachen , Germany

11. Kristin Paetzold-Byhain
12. Christian Hopmann Aachen Institute for Plastics Processing in Industry and the Skilled Crafts -IKV

    RWTH Aachen University

    Affiliation as printed

    Institute for Plastics Processing in Industry and the Skilled Crafts -IKV , RWTH Aachen University , Seffenter Weg 201 , 52074 Aachen , Germany

13. Markus Stommel

    Leibniz Institute of Polymer Research

    Affiliation as printed

    George-Bähr-Straße 3c , 01069 Dresden , Germany

    Leibniz Institute of Polymer Research Dresden -IPF , Hohe Straße 6 , 01069 Dresden , Germany

14. Maik Gude

    Technische Universität Dresden

    Affiliation as printed

    Institute of Lightweight Engineering and Polymer Technology -ILK , TUD Dresden University of Technology , Holbeinstraße 3 , 01307 Dresden , Germany

15. Alexander Schiebahn Aachen Welding and Joining Institute ISF

    RWTH Aachen University

    Affiliation as printed

    Welding and Joining Institute -ISF , RWTH Aachen University , Pontstraße 49 , 52062 Aachen , Germany