Einsatz von Magnetfeldsensoren in der zerstörungsfreien Materialprüfung und Qualitätssicherung

Translated title of the contribution: Magnetic field sensors applications in non-destructive material testing and quality assurance
  • Patrick Hölzl
  • , Florian Dietachmayr
  • , Johannes Atzlesberger
  • , Bernhard Zagar

Research output: Contribution to journalArticlepeer-review

Abstract

Non-destructive material testing is an important part of industrial quality assurance applications. As a consequence, a variety of testing methods based on magnetic field imaging have recently been developed for this field of application. In this paper, magnetic field sensors based on the giant magneto resistance effect (GMR) and the magneto-optical Faraday effect are presented and their applicability for quality assurance purposes is analyzed. These applications span from the detection of non-ferromagnetic inclusions within steel sheets to the recognition of defective bond wire connections in integrated circuits. It is demonstrated that industrial GMR-sensors are able to resolve inclusions the size of a tenth of a millimeter within a steel sheet. Furthermore, a GMR-sensor array for the estimation of the current flowing thru bond wires of an IC is presented. Finally, an area sensor based on the Faraday effect is utilized for the detection of defective bond wire connections.
Translated title of the contributionMagnetic field sensors applications in non-destructive material testing and quality assurance
Original languageGerman (Austria)
Pages (from-to)199-206
Number of pages8
Journale&i Elektrotechnik und Informationstechnik
Volume132
Issue number4-5
DOIs
Publication statusPublished - 07 Aug 2015

Fields of science

  • 202012 Electrical measurement technology
  • 202014 Electromagnetism
  • 202021 Industrial electronics
  • 202036 Sensor systems
  • 102003 Image processing
  • 202015 Electronics
  • 202016 Electrical engineering
  • 202037 Signal processing
  • 202039 Theoretical electrical engineering
  • 103021 Optics

JKU Focus areas

  • Mechatronics and Information Processing

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