Model-Based System Engineering Framework for Superconducting Accelerator Magnet Design

• Published in: IEEE transactions on applied superconductivity Vol. 33; no. 5; pp. 1 - 5
• Main Authors: Maciejewski, Micha, Auchmann, Bernhard, Araujo, Douglas Martins, Vallone, Giorgio, Leuthold, Juerg, Smajic, Jasmin
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-08-2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Computational modeling; Containers; Design optimization; Geometry; Magnet design and analysis techniques; Magnets; Methodology; Model-based systems; Modeling; Numerical models; Optimization; Superconducting magnets; Superconductivity; Systems engineering
• ISSN: 1051-8223; 1558-2515
• DOI: 10.1109/TASC.2023.3249647

The design specification of future high-field accelerator magnets require innovation in and integration of multiple disciplines. Numerical models underpin each step of the design. In this paper, we present a methodology for collaborative modeling based on relevant concepts of model-based systems engineering. The methodology is composed of three pillars: encapsulated computing environments with service query interface, model notebooks with auto-generated model views, and model query interface with results caching. The methodology aims at a de-centralized approach to multi-model and multi-scale collaboration that maintains the cornerstones of traceability and reproducibility. It is demonstrated with a multi-model coil design optimization of a high-field superconducting magnet.