ISBN 978-3-8439-4960-6

978-3-8439-4960-6, Reihe Ingenieurwissenschaften

Michael Nierla
Vector Preisach Hysteresis Models in Finite Element Analysis

424 Seiten, Dissertation Universität Erlangen-Nürnberg (2021), Softcover, A5

Zusammenfassung / Abstract

The ongoing search for optimized and more efficient machines and technical devices have lead to an increased usage of numerical simulations during the design and fabrication process. Thereby, the more advanced and complex these devices and applications get and the higher their degree of optimization already is, the more physical effects must be considered during the simulation in order to enable further improvements. One such effect, that is particularly relevant for the design of rotating engines and machines with high occurring alternating and rotating magnetic fields, is the vector hysteresis inside ferromagnetic materials. Albeit its importance and the fact that there already exist very accurate models for describing vector hysteresis, it is still seldom considered and included during the design and optimization process. The major reason for this lies in the strongly increasing computational costs, which arise from utilizing such vector hysteresis models, compared to simpler non-linear or scalar hysteresis models. Thus, over the years a growing number of new vector hysteresis models have been derived and researched with the aim to find a computationally cheap but yet physically accurate model, which can readily be included into existing simulation routines and tools, in particular into those based on the Finite Element Method (FEM). Two recently proposed Preisach-based models by Sutor and colleagues for the description of vector hysteresis in isotropic ferromagnetic materials seem to be promising for fulfilling these requirements. However, these models have neither been studied with respect to their accuracy, capabilities and performance nor have they been applied inside actual Finite Element (FEA) analysis yet. The purpose of this thesis is to address these unresolved points.