Computational Magnet Analysis and Dynamics
COMMAND

The research group "Computational Magnet Analysis and Dynamics", in short "COMMAND", deals with the numerical analysis and simulation of magnetic problems such as accelerator magnets and electrical machines. For this purpose, it researches new numerical methods to make the simulation of such electrical engineering problems even more reliable and efficient.

Key Points

Magnetic flux density in the quadrupole magnet at the LHC at CERN. Simulated by the reduced magnetic vector potential method developed within the COMMAND group.
CC BY-SA 4.0
Magnetic flux density in the quadrupole magnet at the LHC at CERN. Simulated by the reduced magnetic vector potential method developed within the COMMAND group.
CC BY-SA 4.0

Methods:

  • Magnetoquasistatic formulations in frequency and time domain
  • Quasi-3D discretization methods
  • Multi-scale methods
  • Machine Learning & neural networks
  • Homogenization approaches

Applications:

  • Normalconducting magnets
  • Superconducting magnets
  • High-temperature superconducting tapes and cables
  • Electrical machines

Cooperations & Funding

Group Leader

  Name Working area(s) Contact
Dr.-Ing. Laura D‘Angelo		Computational Magnet Analysis and Dynamics
+49 6151 16-24029
S2|17 142

Group Members

  Name Working area(s) Contact
Shamim Aslam M.Sc.		Transient Simulation of accelerator magnets
+49 6151 16-24024
S2|17 127
Jan-Magnus Christmann M.Sc.		Simulation and analysis of eddy-current and hysteresis losses in accelerator magnets
+49 6151 16-24024
S2|17 127
Lennard Langerbein M.Sc.		Development of numerical methods for simulating electromagnetic and solid-mechanic fields in superconducting accelerator magnets
+49 6151 16- 24033
S2|17 217
Dominik Moll M.Sc.		Simulation of fast ramped accelerator magnets
+49 6151 16-24025
S2|17 140
Barbara Kalinowski M.Sc.		Enhancement of an ironless inductive position sensor for robustness in harsh environments
CERN