Please use this identifier to cite or link to this item: doi:10.22028/D291-27423
Title: Routes for GMR-Sensor Design in Non-Destructive Testing
Author(s): Pelkner, Matthias
Neubauer, Andreas
Reimund, Verena
Kreutzbruck, Marc
Schütze, Andreas
Language: English
Title: Sensors
Volume: 12
Issue: 9
Startpage: 12169
Endpage: 12183
Publisher/Platform: MDPI
Year of Publication: 2012
DDC notations: 500 Science
600 Technology
Publikation type: Journal Article
Abstract: GMR sensors are widely used in many industrial segments such as information technology, automotive, automation and production, and safety applications. Each area requires an adaption of the sensor arrangement in terms of size adaption and alignment with respect to the field source involved. This paper deals with an analysis of geometric sensor parameters and the arrangement of GMR sensors providing a design roadmap for non-destructive testing (NDT) applications. For this purpose we use an analytical model simulating the magnetic flux leakage (MFL) distribution of surface breaking defects and investigate the flux leakage signal as a function of various sensor parameters. Our calculations show both the influence of sensor length and height and that when detecting the magnetic flux leakage of µm sized defects a gradiometer base line of 250 µm leads to a signal strength loss of less than 10% in comparison with a magnetometer response. To validate the simulation results we finally performed measurements with a GMR magnetometer sensor on a test plate with artificial µm-range cracks. The differences between simulation and measurement are below 6%. We report on the routes for a GMR gradiometer design as a basis for the fabrication of NDT-adapted sensor arrays. The results are also helpful for the use of GMR in other application when it comes to measure positions, lengths, angles or electrical currents.
DOI of the first publication: 10.3390/s120912169
Link to this record: urn:nbn:de:bsz:291--ds-274231
hdl:20.500.11880/28518
http://dx.doi.org/10.22028/D291-27423
ISSN: 1424-8220
Date of registration: 3-Jan-2020
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Andreas Schütze
-
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

Files for this record:
File Description SizeFormat 
sensors-12-12169.pdf430,01 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons