• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Advances in Barkhausen noise analysis
 
  • Details
  • Full
Options
2014
Conference Paper
Title

Advances in Barkhausen noise analysis

Abstract
The magnetic Barkhausen Noise technique is a well suited method for the characterization of ferromagnetic materials. The Barkhausen effect results in an interaction between the magnetic structure and the microstructure of materials, and is sensitive to the stresses and microstructure related mechanical properties. Barkhausen noise is a complex signal that provides a large amount of information, for example frequency spectrum, amplitude, RMS value, dependence of magnetic field strength, magnetization frequency and fractal behavior. Although this technique has a lot potentials, it is not commonly used in nondestructive material testing. Large sensors and complex calibration procedures made the method impractical for many applications. However, research has progressed in recent years; new sensor designs were developed and evaluated, new algorithms to simplify the calibration and measurement procedures were developed as well as analysis of additional material properties have been introduced.
Author(s)
Meyendorf, Norbert
Fraunhofer-Institut für Keramische Technologien und Systeme IKTS  
Hillmann, Susanne
Fraunhofer-Institut für Keramische Technologien und Systeme IKTS  
Cikalova, Ulana
Fraunhofer-Institut für Keramische Technologien und Systeme IKTS  
Schreiber, Jürgen  
Mainwork
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014  
Conference
Conference "Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems" 2014  
DOI
10.1117/12.2044454
Language
English
Fraunhofer-Institut für Keramische Technologien und Systeme IKTS  
Keyword(s)
  • ferromagnetism

  • microstructure

  • Fractals

  • frequency spectra

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024