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dc.contributor.advisorHartmann, Uwe-
dc.contributor.authorThieltges, Sascha-
dc.date.accessioned2025-11-26T12:14:19Z-
dc.date.available2025-11-26T12:14:19Z-
dc.date.issued2025-
dc.identifier.urihttps://fordatis.fraunhofer.de/handle/fordatis/466-
dc.identifier.urihttp://dx.doi.org/10.24406/fordatis/423-
dc.description.abstractThis repository provides the full source code and datasets used to compare multiple Jiles–Atherton (JA) hysteresis model variants, including Jiles86, Jiles92, Jiles94, Bergqvist96, Annakkage00, Cheng18, and Xue22. The material contains the numerical framework for computing complete B(H) cycles using a Runge–Kutta integration scheme, the stability assessment across 300 consecutive cycles, and the RMSE-based evaluation of convergence behavior under soft- and hard-magnetic parameter sets. The code enables full reproducibility of the model comparison, including parameter handling, cycle generation, and visualization tools.en
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectJiles-Athertonen
dc.subjectFerromagnetic Hysteresisen
dc.subjectRK4en
dc.subjectDifferential-Evolutionen
dc.subjectOptimizationen
dc.subject.ddcDDC::000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::005 Computerprogrammierung, Programme, Datenen
dc.subject.ddcDDC::500 Naturwissenschaften und Mathematik::500 Naturwissenschaften::500 Naturwissenschaften und Mathematiken
dc.subject.ddcDDC::500 Naturwissenschaften und Mathematik::510 Mathematik::510 Mathematiken
dc.subject.ddcDDC::500 Naturwissenschaften und Mathematik::510 Mathematik::511 Allgemeine mathematische Prinzipienen
dc.subject.ddcDDC::500 Naturwissenschaften und Mathematik::510 Mathematik::518 Numerische Analysisen
dc.subject.ddcDDC::500 Naturwissenschaften und Mathematik::530 Physik::530 Physiken
dc.subject.ddcDDC::500 Naturwissenschaften und Mathematik::530 Physik::538 Magnetismusen
dc.subject.ddcDDC::600 Technik, Medizin, angewandte Wissenschaften::620 Ingenieurwissenschaften::621 Angewandte Physiken
dc.titleComparative Analysis and Numerical Stability Assessment of Jiles-Atherton Model Variants (Source Code Release)en
dc.typeSource Codeen
dc.description.technicalinformationThis dataset contains the numerical implementation and results of a systematic comparison of multiple Jiles–Atherton (JA) hysteresis model variants. For a fixed JA parameter set, B(H) curves were computed for each model variant using a fourth-order Runge–Kutta integration scheme in MATLAB. The simulations were carried out for a range of excitation amplitudes of the magnetic field 𝐻. For each model, the numerical convergence behaviour was evaluated by calculating the root-mean-square error (RMSE) between consecutive B(H) cycles over 300 full cycles. In a subsequent step, cross-model deviations were quantified by computing the RMSE between the converged B(H) curves of the different JA model variants. The resulting dataset provides a reproducible basis for assessing numerical stability, model deviation, and sensitivity to excitation amplitude across established JA formulations.en
fordatis.instituteIZFP Fraunhofer-Institut für Zerstörungsfreie Prüfverfahrenen
fordatis.rawdatafalseen
Appears in Collections:Fraunhofer-Institut für zerstörungsfreie Prüfverfahren IZFP

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AUSWERTUNG_epsilon_Einzelmodell.mMatlab function to cacluate the convergence of a single model4,98 kBMatlab R2019bDownload/Open
AUSWERTUNG_epsilon_Modellvergleich.mMatlab function to calculate the convergence between JA-models640 BMatlab R2019bDownload/Open
JAModel_Cheng18.mJA-model according to Cheng et al.2,47 kBMatlab R2019bDownload/Open
JAModel_Jiles86.mJA-model according to Jiles et al.2,38 kBMatlab R2019bDownload/Open
JAModel_Jiles92.mJA-model according to Jiles et al.2,46 kBMatlab R2019bDownload/Open
JAModel_Jiles94.mJA-model according to Jiles et al.2,39 kBMatlab R2019bDownload/Open
JAModel_Thieltges25.mJA-model according to Thieltges et al.2,31 kBMatlab R2019bDownload/Open
MAIN.mMAIN matlab function1,2 kBMatlab R2019bDownload/Open
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