25,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
payback
13 °P sammeln
  • Broschiertes Buch

In this work the magnetic Barkhausen noise is studied by two simple 1D models. The first is a spring-block type model which is based on a mechanical analogy and its aim is to explain the basic features of domain-wall dynamics and magnetization processes in ferromagnetic materials. Despite its simplicity the spring-block model yields the realistic shape of hysteresis loops with Barkhausen jumps, it is able to reproduce the interesting phenomenon of disorder-induced phase transition, as well as the good statistics of Barkhausen noise. The second model is a spin Hamiltonian model, which is also a…mehr

Produktbeschreibung
In this work the magnetic Barkhausen noise is studied by two simple 1D models. The first is a spring-block type model which is based on a mechanical analogy and its aim is to explain the basic features of domain-wall dynamics and magnetization processes in ferromagnetic materials. Despite its simplicity the spring-block model yields the realistic shape of hysteresis loops with Barkhausen jumps, it is able to reproduce the interesting phenomenon of disorder-induced phase transition, as well as the good statistics of Barkhausen noise. The second model is a spin Hamiltonian model, which is also a simplified 1D model defined by a Hamiltonian which contains all the interactions that are relevant in real ferromagnets: Ising-type exchange, pinning, interaction with the external field, demagnetization. The model is able to reproduce all the expected statistical properties of Barkhausen noise. In addition, there is a possibility to study the stochastic resonance in this model because it is suitable for Monte Carlo simulations.
Autorenporträt
Kovács Katalin obtained PhD degree in 2007 at the Physics Faculty of the Babe¿-Bolyai University. This work presents two oversimplified one-dimensional models for magnetic Barkhausen-noise that are able to qualitatively reproduce the main features of hysteresis, domain wall dynamics, avalanche-like behavior and all the related scaling properties.