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RAMM: A Robotic, Autonomous Magnetic field Mapper
Shinjer Li1, Samuel J Rubin1,2, Tyler Meldrum1
1William & Mary, Department of Chemistry, 540 Landrum Drive, Williamsburg, VA 23188, USA.
Abstract:
Accurate spatial mapping of magnetic fields is crucial for a range of scientific, industrial, and medical magnetic devices. Here, we present RAMM: a Robotic, Autonomous Magnetic field Mapper. RAMM consists of a delta-style 3D robot coupled with a three-axis Hall sensor that is able to measure magnetic fields accurately and at relatively low cost. In addition, RAMM is programmatically controlled via a Python interface, facilitating volumetric measurement of , , and -components of magnetic fields ranging from the millitesla to single-digit Tesla range. We demonstrate the performance of RAMM, via detailed 3D-maps of the magnetic fields of several different sizes and arrangements of permanent magnets, and demonstrate agreement between measured and manufacturer-reported field gradient values. RAMM is easy to build, affordable, and suitable for teaching and research applications.
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