244 citations · 586 across the 16 of their papers we have counts for
6 papers · 1 filter
Coupling of Magneto-Thermal and Mechanical Superconducting Magnet Models by Means of Mesh-Based Interpolation
Michał Maciejewski, Pascal Bayrasy, Klaus Wolf +9
In this paper we present an algorithm for the coupling of magneto-thermal and mechanical finite element models representing superconducting accelerator magnets. The mechanical mode…
Reduced Order Modelling for the Simulation of Quenches in Superconducting Magnets
Sebastian Schöps, Idoia Cortes Garcia, Michał Maciejewski +1
This contributions discusses the simulation of magnetothermal effects in superconducting magnets as used in particle accelerators. An iterative coupling scheme using reduced order…
A 2-D Finite-Element Model for Electro-Thermal Transients in Accelerator Magnets
Lorenzo Bortot, Bernhard Auchmann, Idoia Cortes Garcia +5
Superconducting accelerator magnets require sophisticated monitoring and means of protection due to the large energy stored in the magnetic field. Numerical simulations play a cruc…
PERLE: Powerful Energy Recovery Linac for Experiments - Conceptual Design Report
D. Angal-Kalinin, G. Arduini, B. Auchmann +39
A conceptual design is presented of a novel ERL facility for the development and application of the energy recovery technique to linear electron accelerators in the multi-turn, lar…
Application of the Waveform Relaxation Technique to the Co-Simulation of Power Converter Controller and Electrical Circuit Models
Michał Maciejewski, Idoia Cortes Garcia, Sebastian Schöps +4
In this paper we present the co-simulation of a PID class power converter controller and an electrical circuit by means of the waveform relaxation technique. The simulation of the…
Optimized Field/Circuit Coupling for the Simulation of Quenches in Superconducting Magnets
Idoia Cortes Garcia, Sebastian Schöps, Michał Maciejewski +4
In this paper, we propose an optimized field/circuit coupling approach for the simulation of magnetothermal transients in superconducting magnets. The approach improves the converg…