DSL4DPiFS – a graphical notation to model data pipeline deployment in forming systems
Abstract Data-driven methods are increasingly utilized in metal forming processes for monitoring and quality optimization. An adapted modeling notation DSL4DPiFS for forming processes is presented to model hardware, software, and data flow aspects to support the design and analysis of data-driven methods. DSL4DPiFS enables metal forming and automation experts to model field-level information as data sources, and the data sinks for data analysis. The notation was adapted to the requirements of selected metal forming processes and evaluated in three case studies.
Authors
- Marius Krüger (ORCID: https://orcid.org/0009-0004-3674-5466)
- Mathias Liewald
- Ansgar Trächtler (ORCID: https://orcid.org/0000-0001-9987-1655)
- Adrian Schenek
- Markus Gardill (ORCID: https://orcid.org/0000-0001-8872-5441)
- Henning Peters (ORCID: https://orcid.org/0009-0000-0145-0247)
- Birgit Vogel‐Heuser (ORCID: https://orcid.org/0000-0003-2785-8819)
- Michael Weyrich (ORCID: https://orcid.org/0000-0003-3176-9288)
- Pascal Heinzelmann
- Alejandra Vicaria
- Mingxi Zhang (ORCID: https://orcid.org/0009-0000-3189-7816)
- Yirong Jiang
Institutions
- University of Stuttgart (DE)
- Paderborn University (DE)
- Fraunhofer Institute for Mechatronic Systems Design (DE)
- Institute of Automation (DE)
- Brandenburg University of Technology Cottbus-Senftenberg (DE)
- Technical University of Munich (DE)
Publication Details
- Journal
- at - Automatisierungstechnik
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1515/auto-2024-0114
- Primary Topic
- Model-Driven Software Engineering Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft