Optimization of Magnetizing Parameters for Multipole Magnetic Scales Using the Taguchi Method

Magnetic encoders are widely used to identify the position or travel distance in machine tools in a harsh environment. A magnetic encoder comprises a magnetic sensor and a magnetic scale, which is a permanent magnet strip magnetized into a multipole configuration. The pole pitch, magnetic flux densi...

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Bibliographic Details
Published inIEEE transactions on magnetics Vol. 51; no. 11; pp. 1 - 4
Main Authors Xu, Zhi-Hao, Wang, Sheng-Ching, Zhang, Zhe-Wei, Chin, Tsung-Shune, Sung, Cheng-Kuo
Format Journal Article
LanguageEnglish
Published New York IEEE 01.11.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Coders
Density
Encoders
Magnetic circuit
Magnetic cores
magnetic field
Magnetic fields
Magnetic flux
Magnetic hysteresis
magnetic scale
Magnetism
Magnetization
Magnetometers
Optimization
Permanent magnets
Perpendicular magnetic anisotropy
Saturation magnetization
Signal processing
magnetic field
magnetization
Magnetic circuit
magnetic scale
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Summary:Magnetic encoders are widely used to identify the position or travel distance in machine tools in a harsh environment. A magnetic encoder comprises a magnetic sensor and a magnetic scale, which is a permanent magnet strip magnetized into a multipole configuration. The pole pitch, magnetic flux density, periodicity, and symmetry of a magnetic field pattern are crucial for signal processing to obtain a satisfactory resolution. The magnetic flux density and the accuracy of a magnetic scale with a qualified permanent magnet strip are determined using magnetization technology. This paper focused on the optimization of perpendicular magnetizing parameters, using the Taguchi method, for designing a magnetizer to fabricate the high-quality magnetic scales made of rubber magnets. The parameters included the thickness of the magnetizer core, diameter of the magnet wire, magnetizing current, and magnetizing gap. The optimal parameters of magnetization were determined, and the reproducibility was validated. The average magnetic flux density was increased by ~17% after optimization. In addition, the high-quality magnetic field pattern was achieved and it was advantageous for signal processing.
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ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2015.2458017