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De Gersem, H.

Paper Title Page
TU3IODN05 Transient, Large-Scale 3D Finite Element Simulations of the SIS100 Magnet 83
 
  • S. Koch, T. Weiland
    TEMF, TU Darmstadt, Darmstadt
  • H. De Gersem
    KU Leuven, Kortrijk
 
 

Numerical simulations are frequently used in the design, optimization and commissioning phase of accelerator components. Strict requirements on the accuracy as well as the complex structure of such devices lead to challenges regarding the numerical simulations in 3D. In order to capture all relevant details of the geometry and possibly strongly localized electromagnetic effects, large numerical models are often unavoidable. The use of parallelization strategies in combination with higher-order finite-element methods offers a possibility to account for the large numerical models while maintaining moderate simulation times as well as high accuracy. Using this approach, the magnetic properties of the SIS100 magnets designated to operate within the Facility of Antiproton and Ion Research (FAIR) at the GSI Helmholtzzentrum für Schwerionenforschung GmbH (GSI) in Darmstadt, are calculated. Results for eddy-current losses under time-varying operating conditions as well as field quality considerations are reported.

 
TH4IOPK03 Aperture and Beam-Tube Models for Accelerator Magnets 202
 
  • H. De Gersem
    KU Leuven, Kortrijk
  • S. Koch, T. Weiland
    TEMF, TU Darmstadt, Darmstadt
 
 

The modeling of eddy-current phenomena in superconductive accelerator magnets is challenging because the large differences in geometrical dimensions (skin depth vs. magnet size) and time constants (ramping time vs. relaxation time). The paper addresses modeling issues as e.g. the ferromagnetic saturation of the iron yoke, the eddy-current losses in the yoke end parts, the eddy-current losses in the beam tube and possible eddy-current losses in the windings. Heavy saturation, small skin depths and small time constants render simulations of this kind to be challenging. The simulation approach is used in combination with an optimization procedure involving both continuous and integer-valued parameters.