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VIDEO DOI: https://doi.org/10.48448/9w6y-2r86

technical paper

MMM 2022

November 07, 2022

Minneapolis, United States

Soft Magnetic Elastomer Composites Enabling Magnetic Actuation and Field Sensing Based on Fiber Optic Interferometry

Soft magnetic elastomers (ME) are a class of smart materials consisting of magnetic particles dispersed within soft elastomer networks. Their excellent magnetic and mechanical properties enable fast, untethered and reversible responses to external magnetic induction1. Magnetic field sensors have rather broad applicability in many biomedical applications such as biological activity monitoring or medical devices navigation. Fiber-optic magnetic field sensors are promising alternatives to their electrical counterparts due to their small size, low cost, no field-induced heating, intrinsic material safety and immunity to electromagnetic (EM) interference.2 Nevertheless, their development is largely limited by the low sensitivity and reliability due to poor integration of magnetic materials with the optical fiber, and the complexity of the sensor design. In this work, we proposed a compact design for a fiber-optic magnetic sensor based on highly responsive ME composites, which enables real-time measurement of small changes in magnetic fields using interferometric interrogation scheme. Dip-coating method was introduced to directly deposit uniform ME composite films on the end of a single mode fiber and create a interferometric structure for sensing of mechanical deformations induced by external magnetic field (Fig1 and 2). ME composites of different compositions and magnetic sensors with various coating structures were developed and further optimized. A fiber-optic interferometric sensing system was established for magnetic actuation and sensing performance evaluation. The proposed sensor exhibited excellent sensing performance enabling measurement of magnetic fields in millitesla level. These highly sensitive, miniature sensors are cost-effective, simple in design, immune to EM interference and are well-suited to a wide range of biomedical applications. Further studies will entail simultaneous measurement of magnetic field and gradient.

  1. Bira, N., Dhagat, P. & Davidson, J. R. Front. Robot. AI 7, 1–9 (2020).
  2. Peng, J. et al. Sensors 19, 2860 (2019).


Transcript English (automatic)

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