Use of meta-modelling for identification and interpolation of parametric hysteresis models applied to the characterization of carbon steels
Sign Up to like & getrecommendations! Published in 2018 at "Physica B: Condensed Matter"
DOI: 10.1016/j.physb.2017.11.053
Abstract: 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… read more here.
Keywords: carbon; parametric hysteresis; hysteresis models; meta modelling ... See more keywords
Discovery of sparse hysteresis models for piezoelectric materials
Sign Up to like & getrecommendations! Published in 2023 at "Applied Physics Letters"
DOI: 10.1063/5.0146134
Abstract: This article presents an approach for modeling hysteresis in piezoelectric materials that leverages recent advancements in machine learning, particularly in sparse-regression techniques. While sparse regression has previously been used to model various scientific and engineering… read more here.
Keywords: discovery sparse; hysteresis models; models piezoelectric; sparse hysteresis ... See more keywords
A Numerical Comparison between Preisach, J-A and D-D-D Hysteresis Models in Computational Electromagnetics
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13085181
Abstract: The incorporation of hysteresis models in computational electromagnetic software is of paramount importance for the accurate prediction of the ferromagnetic devices’ performance. The Preisach and Jiles-Atherton (J-A) models are frequently used for this purpose. The… read more here.
Keywords: preisach; hysteresis models; models computational; comparison preisach ... See more keywords