Data-Driven Update of B(H) Curves of Iron Yokes in Normal Conducting Accelerator Magnets
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| Main Authors: | , , , |
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| Format: | Preprint |
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2023
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| _version_ | 1866916480300351488 |
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| author | Fleig, Luisa Liebsch, Melvin Russenschuck, Stephan Schöps, Sebastian |
| author_facet | Fleig, Luisa Liebsch, Melvin Russenschuck, Stephan Schöps, Sebastian |
| contents | Constitutive equations are used in electromagnetic field simulations to model a material response to applied fields or forces. The $B(H)$ characteristic of iron laminations depends on thermal and mechanical stresses that may have occurred during the manufacturing process. Data-driven modelling and updating of the $B(H)$ characteristic are therefore well known necessities. In this work the $B(H)$ curve of an iron yoke of an accelerator magnet is updated based on observed magnetic flux density data by solving a non-linear inverse problem. The inverse problem is regularized by restricting the solution to the function space that is spanned by the truncated Karhunen Loeve expansion of a stochastic $B(H)$-curve model based on material measurements. It is shown that this method is able to retrieve a previously selected ground truth $B(H)$-curve. With the update of the $B(H)$ characteristic, the numerical model gains predictive capacities for excitation currents that were not included in the data. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2306_12872 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Data-Driven Update of B(H) Curves of Iron Yokes in Normal Conducting Accelerator Magnets Fleig, Luisa Liebsch, Melvin Russenschuck, Stephan Schöps, Sebastian Computational Engineering, Finance, and Science 60G99, 35Q61, 65Z05, 65L60 Constitutive equations are used in electromagnetic field simulations to model a material response to applied fields or forces. The $B(H)$ characteristic of iron laminations depends on thermal and mechanical stresses that may have occurred during the manufacturing process. Data-driven modelling and updating of the $B(H)$ characteristic are therefore well known necessities. In this work the $B(H)$ curve of an iron yoke of an accelerator magnet is updated based on observed magnetic flux density data by solving a non-linear inverse problem. The inverse problem is regularized by restricting the solution to the function space that is spanned by the truncated Karhunen Loeve expansion of a stochastic $B(H)$-curve model based on material measurements. It is shown that this method is able to retrieve a previously selected ground truth $B(H)$-curve. With the update of the $B(H)$ characteristic, the numerical model gains predictive capacities for excitation currents that were not included in the data. |
| title | Data-Driven Update of B(H) Curves of Iron Yokes in Normal Conducting Accelerator Magnets |
| topic | Computational Engineering, Finance, and Science 60G99, 35Q61, 65Z05, 65L60 |
| url | https://arxiv.org/abs/2306.12872 |