Coupling of Magneto-Thermal and Mechanical Superconducting Magnet Models by Means of Mesh-Based Interpolation

12/29/2017
by   Michał Maciejewski, et al.
0

In this paper we present an algorithm for the coupling of magneto-thermal and mechanical finite element models representing superconducting accelerator magnets. The mechanical models are used during the design of the mechanical structure as well as the optimization of the magnetic field quality under nominal conditions. The magneto-thermal models allow for the analysis of transient phenomena occurring during quench initiation, propagation, and protection. Mechanical analysis of quenching magnets is of high importance considering the design of new protection systems and the study of new superconductor types. We use field/circuit coupling to determine temperature and electromagnetic force evolution during the magnet discharge. These quantities are provided as a load to existing mechanical models. The models are discretized with different meshes and, therefore, we employ a mesh-based interpolation method to exchange coupled quantities. The coupling algorithm is illustrated with a simulation of a mechanical response of a standalone high-field dipole magnet protected with CLIQ (Coupling-Loss Induced Quench) technology.

READ FULL TEXT
research
03/27/2020

Model order reduction of thermo-mechanical models with parametric convective boundary conditions: focus on machine tool

This paper presents a parametric Model Order Reduction (MOR) method for ...
research
09/30/2022

Curing spurious magneto-mechanical coupling in soft non-magnetic materials

The present work is concerned with the issue of spurious coupling effect...
research
04/17/2021

Machine learning-assisted surrogate construction for full-core fuel performance analysis

Accurately predicting the behavior of a nuclear reactor requires multiph...
research
12/31/2020

Effects of Axial Load on the Location of a Combined Null Point in Energy Piles

Soil structure interaction in energy piles has not yet been understood c...
research
02/10/2021

Origami spring-inspired shape morphing for flexible robotics

Flexible robotics are capable of achieving various functionalities by sh...
research
08/10/2021

Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning

From ultra-sensitive detectors of fundamental forces to quantum networks...

Please sign up or login with your details

Forgot password? Click here to reset