DocumentCode :
1448589
Title :
The novel use of a memory layer in a giant magnetoresistive position sensor design
Author :
Holliday, Nigel T. ; Hill, Ernie W.
Author_Institution :
Dept. of Comput. Sci., Manchester Univ., UK
Volume :
36
Issue :
5
fYear :
2000
fDate :
9/1/2000 12:00:00 AM
Firstpage :
2779
Lastpage :
2781
Abstract :
A linear noncontact position sensor using Co/Cu giant magneto-resistance (GMR) multilayers as the sensing material and incorporating a magnetic memory layer has been designed and modeled. A magnetic head assembly acts as the position locator and the presence of a memory layer makes the throw length unlimited. A numerical model using charge sheets and finite elements has been used to optimize the physical dimensions of the magnetic layers for different magnetic materials and determine their spacing from the Co/Cu GMR sensing material. The output from the sensor has been simulated as the head moves back and forth along the track. These results show that hysteresis in the memory layer can be overcome by optimizing the head design. Using easily available materials, the modeling has shown that a device using second anti-ferromagnetic (AF) peak Co/Cu is realizable. The model has also be used to identify desirable material parameters for potential future engineered materials with the aim of utilizing high GMR first AF peak Co/Cu material in the sensor
Keywords :
cobalt; copper; ferromagnetic materials; finite element analysis; magnetic heads; magnetic hysteresis; magnetic multilayers; magnetic sensors; magnetoresistive devices; position measurement; Co-Cu; Co/Cu giant magneto-resistance multilayers; charge sheets; finite elements; giant magnetoresistive position sensor design; head design; high GMR first AF peak Co/Cu material; hysteresis; linear noncontact position sensor; magnetic head assembly; magnetic memory layer; memory layer; numerical model; position locator; second antiferromagnetic peak Co/Cu; throw length; Assembly; Gas detectors; Giant magnetoresistance; Magnetic heads; Magnetic materials; Magnetic memory; Magnetic multilayers; Magnetic sensors; Numerical models; Sheet materials;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/20.908587
Filename :
908587
Link To Document :
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