• Open Access

Data-driven modeling of nonlinear materials in normal-conducting magnets

Stefano Sorti, Carlo Petrone, Stephan Russenschuck, and Francesco Braghin
Phys. Rev. Accel. Beams 25, 052401 – Published 27 May 2022

Abstract

Accurate numerical modeling of normal-conducting accelerator magnets requires a reliable characterization of the iron saturation and hysteresis as well as a precise knowledge of the magnet geometry as built. Computations of the field quality are not easily achieving the accuracy required by the accelerator operation, particularly for eddy-current effects in fast-ramping magnets. This paper proposes a (measurement) data-driven model for the nonlinear magnetization of normal-conducting magnets. The model adopts a volume integral formulation compatible with eddy-current simulations. A two-step updating procedure is applied. The first step is the fitting of material parameters directly in the magnet model. The second step is the updating of the magnetization by measurements of the integral field harmonics. The result is a full-order updated model that can be employed in static or dynamic simulations. Finally, the procedure is validated on an iron-dominated, normal-conducting magnet.

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  • Received 1 October 2021
  • Accepted 25 April 2022

DOI:https://doi.org/10.1103/PhysRevAccelBeams.25.052401

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Accelerators & Beams

Authors & Affiliations

Stefano Sorti*, Carlo Petrone, and Stephan Russenschuck

  • CERN, European Organization for Nuclear Research, CH-1211 Geneva 23, Switzerland

Francesco Braghin

  • Politecnico di Milano, Dipartimento di Meccanica, via La Masa 1, 20156 Milano, Italy

  • *stefano.sorti@polimi.it; stefano.sorti@cern.ch Also at Politecnico di Milano, Dipartimento di Meccanica, via La Masa 1, 20156 Milano, Italy.

Article Text

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Issue

Vol. 25, Iss. 5 — May 2022

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