Contactless and absolute linear displacement detection based upon 3D printed magnets combined with passive radio-frequency identification | Zendy

Roman Windl | Zendy; Claas Abert | Zendy; Florian Bruckner | Zendy; Christian Huber | Zendy; Christoph Vogler | Zendy; Herbert Weitensfelder | Zendy; Dieter Suess | Zendy

Open Access

Contactless and absolute linear displacement detection based upon 3D printed magnets combined with passive radio-frequency identification

Author(s) -

Roman Windl,

Claas Abert,

Florian Bruckner,

Christian Huber,

Christoph Vogler,

Herbert Weitensfelder,

Dieter Suess

Publication year - 2017

Publication title -

aip advances

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.421

H-Index - 58

ISSN - 2158-3226

DOI - 10.1063/1.5004499

Subject(s) - magnet , magnetic field , materials science , acoustics , displacement (psychology) , magnetic separation , electrical engineering , computer science , nuclear magnetic resonance , optoelectronics , physics , engineering , psychology , quantum mechanics , metallurgy , psychotherapist

Within this work a passive and wireless magnetic sensor, to monitor linear displacements, is proposed. We exploit recent advances in 3D printing and fabricate a polymer bonded magnet with a spatially linear magnetic field component corresponding to the length of the magnet. Regulating the magnetic compound fraction during printing allows specific shaping of the magnetic field distribution. A giant magnetoresistance magnetic field sensor is combined with a radio-frequency identification tag in order to passively monitor the exerted magnetic field of the printed magnet. Due to the tailored magnetic field, a displacement of the magnet with respect to the sensor can be detected within the sub-mm regime. The sensor design provides good flexibility by controlling the 3D printing process according to application needs. Absolute displacement detection using low cost components and providing passive operation, long term stability, and longevity renders the proposed sensor system ideal for structural health monitoring applications

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