Use of meta-modelling for identification and interpolation of parametric hysteresis models applied to the characterization of carbon steels

Abstract : The meta-modelling approach based on an adaptive sparse grid interpolator is proposed for tackling the identification problem of parametric hysteresis models for steels with different microstructures. Parametric models of Jiles-Atherton and Mel'gui, respectively, have been considered in this work. The main advantage of the present approach is the separation of the calculation procedure in a computationally demanding off-line phase, which has to be carried out only once, and a very fast on-line evaluation. This decomposition is particularly interesting when a large amount of successive evaluations has to be carried out. Especially in the case that we are interested in a particular family of ferromagnetic materials (e.g. steels subjected to different treatments), where the sought parameters are lying in a specific interval, a single meta-model may be sufficient to be used for the study of a wide range of specimens. The steel samples considered in this study have been obtained from industrially produced low carbon steel, 84% cold rolled, and isothermally annealed in laboratory.
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Submitted on : Friday, July 20, 2018 - 1:14:39 PM
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A. Skarlatos, A. Martínez-De-Guerenu, R. Miorelli, A. Lasaosa, C. Reboud. Use of meta-modelling for identification and interpolation of parametric hysteresis models applied to the characterization of carbon steels. Physica B: Condensed Matter, Elsevier, 2017, ⟨10.1016/j.physb.2017.11.053⟩. ⟨cea-01845381⟩

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