journal article·2024-02-01Open access

Computational modelling of a triaxial vibrating sample magnetometer

Leo Rodriguez, Arjun Sapkota, Jonathan Alvarado, Jitendra S. Tate, Wilhelmus J. Geerts

AIP Advances· Volume 14· Issue 2

Abstract

Magnetic Field Assisted Additive Manufacturing (MFAAM) enables 3D printing of magnetic materials of various shapes which exhibit a complex anisotropy energy surface containing contributions generated from different origins such as sample, particle, and agglomerate shape anisotropy, flow and field induced anisotropy, and particle crystal anisotropy. These novel magnet shapes require the need to measure the x, y, and z components of the magnetic dipole moment simultaneously to fully understand the magnetic reversal mechanism and unravel the complex magnetic anisotropy energy surface of 3D printed magnetic composites. This work aims to develop a triaxial vibrating sample magnetometer (VSM) by adding a z-coil set to a pre-existing biaxial VSM employing a modified Mallison coil set. The optimum size and location of the sensing coils were determined by modeling the sensitivity matrix of the z-coil set. The designed coil set was implemented using 3D printed spools, a manual coil winder, and gauge 38 copper wire. A 3D printed strontium ferrite nylon composite sample was used to estimate the sensitivity of the z-coils (50 mV/emu). The results herein are applicable for any VSM using a modified Mallison biaxial coil configuration allowing for a quick implementation on pre-existing systems.
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Research context

OpenAlex topics: Magnetic Field Sensors Techniques · Geomagnetism and Paleomagnetism Studies · Characterization and Applications of Magnetic Nanoparticles

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Materials Science, Engineering and Commercialization, Texas State University 1 , San Marcos, Texas 78666, USA

Department of Physics, Texas State University 2 , San Marcos, Texas 78666, USA

Mechanical Engineering, University of Texas Rio Grande Valley 3 , Edinburg, Texas 78539, USA

Funding

National Science Foundation · U.S. Department of Defense

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