CONICET | Buscador de Institutos y Recursos Humanos

The analysis and optimization of devices with soft magnetic cores, such as inductive sensors and electric machines,rely on a simple and precise modelling of their nonlinear anhysteretic magnetization. The Langevin-Weissequation of state has the advantages of being physically-based and capable of accurately describing isotropicmaterials. In fact, it has even been adopted as the backbone of the popular Jiles-Atherton model to describemagnetic hysteresis. However, many studies show the difficulty of retrieving the modelling parameters given anexperimental anhysteretic curve, for which stochastic optimization methods are generally used.In this work, we present a simple and deterministic method for finding the parameters of the Langevin-Weissmodel: the saturation magnetization, the temperature dependent a parameter, and the molecular field constants.To this end, we optimize a problem with a nonlinear solver where the fitting variables are instrinsically bounded.We validated the approach by analyzing three widely used soft magnets; a grain-oriented silicon steel, a Mn-Znsoft ferrite, and a Fe-based nanocrystalline alloy with induced anisotropy.We demonstrate that, contrary to what has previously been assumed, the Langevin-Weiss function can providea good description of the anhysteretic magnetization of any homogeneous material, even materials with strongtransverse uniaxial anisotropy. The key, which seems to have been overlooked, is to allow the Weiss molecularfield to be negative.