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15–19 Nov 2021
Fukuoka Convention Center
Asia/Tokyo timezone

High-performance simulation of the magnetic field in superconducting magnets using domain decomposition algorithms in the Sparselizard open source FEM library

WED-PO2-718-06
17 Nov 2021, 10:30
2h
Fukuoka Convention Center

Fukuoka Convention Center

Speaker

Alexandre Halbach (Tampere University)

Description

To get an understanding of the magnetic field distribution in a superconducting magnet, computer simulations are needed which take into account the actual geometry of the magnet and the magnetic saturation in different materials. It is a further advantage that the software efficiently tackles the large number of unknowns needed for accurate 3D simulations and also allows the coupling of additional physics of interest (e.g. thermo-electricity for quench propagation, mechanics).
In this work we demonstrate the capabilities of a free, open source multiphysics FEM software to predict the magnetic field created in CERN’s Feather-M2 particle accelerator dipole magnet model as well as the magnetically induced mechanical stresses. Tools adapted for efficient 3D magnetic field simulations are used: a vector potential formulation is solved with edge shape functions and a spanning-tree gauging technique. A high performance domain decomposition algorithm is used to dramatically speed-up the heavy computation. The simulation performed in this paper is provided in an online example to the magnet designer community. Additional physics for thermo-electric simulations of quench propagation or mechanical simulations can be coupled to this example in a straightforward way within the same software.

Primary authors

Alexandre Halbach (Tampere University) Janne Ruuskanen (Tampere University of Technology) Glyn Kirby (CERN) Franco Julio Mangiarotti (CERN) Tiina Salmi (Tampere University of Technology, Finland)

Presentation materials