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Inverse Scheme to Locally Determine Nonlinear Magnetic Material Properties: Numerical Case Study

Kaltenbacher, Manfred ; Gschwentner, Andreas ; Kaltenbacher, Barbara ; Ulbrich, Stefan ; Reinbacher-Köstinger, Alice (2024)
Inverse Scheme to Locally Determine Nonlinear Magnetic Material Properties: Numerical Case Study.
In: Mathematics, 12 (10)
doi: 10.3390/math12101586
Article, Bibliographie

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Abstract

We are interested in the determination of the local nonlinear magnetic material behaviour in electrical steel sheets due to cutting and punching effects. For this purpose, the inverse problem has to be solved, where the objective function, which penalises the difference between the measured and the simulated magnetic flux density, has to be minimised under a constraint defined according to the corresponding partial differential equation model. We use the adjoint method to efficiently obtain the gradients of the objective function with respect to the material parameters. The optimisation algorithm is low-memory Broyden–Fletcher–Goldfarb–Shanno (BFGS), the forward and adjoint formulations are solved using the finite element (FE) method and the ill-posedness is handled via Tikhonov regularisation, in combination with the discrepancy principle. Realistic numerical case studies show promising results.

Item Type: Article
Erschienen: 2024
Creators: Kaltenbacher, Manfred ; Gschwentner, Andreas ; Kaltenbacher, Barbara ; Ulbrich, Stefan ; Reinbacher-Köstinger, Alice
Type of entry: Bibliographie
Title: Inverse Scheme to Locally Determine Nonlinear Magnetic Material Properties: Numerical Case Study
Language: English
Date: May 2024
Place of Publication: Basel
Publisher: MDPI
Journal or Publication Title: Mathematics
Volume of the journal: 12
Issue Number: 10
Collation: 13 Seiten
DOI: 10.3390/math12101586
Corresponding Links:
Abstract:

We are interested in the determination of the local nonlinear magnetic material behaviour in electrical steel sheets due to cutting and punching effects. For this purpose, the inverse problem has to be solved, where the objective function, which penalises the difference between the measured and the simulated magnetic flux density, has to be minimised under a constraint defined according to the corresponding partial differential equation model. We use the adjoint method to efficiently obtain the gradients of the objective function with respect to the material parameters. The optimisation algorithm is low-memory Broyden–Fletcher–Goldfarb–Shanno (BFGS), the forward and adjoint formulations are solved using the finite element (FE) method and the ill-posedness is handled via Tikhonov regularisation, in combination with the discrepancy principle. Realistic numerical case studies show promising results.

Uncontrolled Keywords: inverse problems, adjoint method, determination of locally nonlinear magnetic material behaviour
Identification Number: Artikel-ID: 1586
Additional Information:

This article belongs to the Special Issue Numerical Optimization for Electromagnetic Problems

MSC: 49M41

Classification DDC: 500 Science and mathematics > 510 Mathematics
600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 04 Department of Mathematics
04 Department of Mathematics > Optimization
04 Department of Mathematics > Optimization > Nonlinear Optimization
Date Deposited: 19 Sep 2024 07:51
Last Modified: 19 Sep 2024 07:51
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