Model-Based System Engineering Framework for Superconducting Accelerator Magnet Design

被引:3
|
作者
Maciejewski, Michal [1 ]
Auchmann, Bernhard [2 ]
Araujo, Douglas Martins [3 ]
Vallone, Giorgio [4 ]
Leuthold, Juerg
Smajic, Jasmin
机构
[1] Swiss Fed Inst Technol, Inst Electromagnet Fields, CH-8092 Zurich, Switzerland
[2] CERN, CH-1211 Geneva, Switzerland
[3] Paul Scherrer Inst, Villigen PSI, CH-5232 Villigen, Switzerland
[4] Lawrence Berkeley Natl Lab, Berkeley, CA 94720 USA
关键词
Modeling; Computational modeling; Superconducting magnets; Optimization; Geometry; Containers; Numerical models; magnet design and analysis techniques; systems engineering;
D O I
10.1109/TASC.2023.3249647
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] MODEL-BASED ENGINEERING FOR LASER WEAPONS SYSTEMS
    Panthaki, Malcolm
    Coy, Steve
    OPTICAL MODELING AND PERFORMANCE PREDICTIONS V, 2011, 8127
  • [42] Innovations in Model-based Software And Systems Engineering
    Hoelldobler, Katrin
    Michael, Judith
    Ringert, Jan Oliver
    Rumpe, Bernhard
    Wortmann, Andreas
    JOURNAL OF OBJECT TECHNOLOGY, 2019, 18 (01):
  • [43] Tutorial of Model-Based Powertrain and Aftertreatment System Control Design and Implementation
    Zhu, Guoming
    Wang, Junmin
    Sun, Zongxuan
    Chen, Xiang
    2015 AMERICAN CONTROL CONFERENCE (ACC), 2015, : 2093 - 2110
  • [44] Bibliometric Analysis of Model-Based Systems Engineering: Past, Current, and Future
    Li, Zihang
    Wang, Guoxin
    Lu, Jinzhi
    Broo, Didem Gurdur
    Kiritsis, Dimitris
    Yan, Yan
    IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2024, 71 : 2475 - 2492
  • [45] A model-based framework assisting the design of vapor-liquid equilibrium experimental plans
    Duarte, Belmiro P. M.
    Atkinson, Anthony C.
    Granjo, Jose F. O.
    Oliveira, Nuno M. C.
    COMPUTERS & CHEMICAL ENGINEERING, 2021, 145
  • [46] Model-Based Systems Engineering for CubeSat FMECA
    Honore-Livermore, Evelyn
    Haskins, Cecilia
    RECENT TRENDS AND ADVANCES IN MODEL BASED SYSTEMS ENGINEERING, 2022, : 529 - 540
  • [47] Model-based multirate controllers design
    Salt, J
    Albertos, P
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2005, 13 (06) : 988 - 997
  • [48] Model-Based Systems Engineering Approach for an Indoor Multi-Usages System Development
    Razafimahazo, Eric
    de Saqui-Sannes, Pierre
    Vingerhoeds, Rob
    Soula, Julien
    Mege, Romain
    INSIGHT, 2023, 26 (04) : 38 - 41
  • [49] Model-based design and analysis of glucose isomerization process operation
    Papadakis, Emmanouil
    Pedersen, Sven
    Tula, Anjan K.
    Fedorova, Marina
    Woodley, John M.
    Gani, Rafiqul
    COMPUTERS & CHEMICAL ENGINEERING, 2017, 98 : 128 - 142
  • [50] A Model-Based Approach to Determine the Design Space of Preparative Chromatography
    Degerman, Marcus
    Westerberg, Karin
    Nilsson, Bernt
    CHEMICAL ENGINEERING & TECHNOLOGY, 2009, 32 (08) : 1195 - 1202