Computational Magnetics and Material Applications

The Furlani Research Group

Computational machines with graphical results
Modeling and characterization of the field distribution

Figure 1. Modeling and characterization of the field distribution due to a hollow cylindrical magnet (OD = 10 mm, height = 10 mm) shown in Fig. 19a. The SENIS 3D magnetic field mapper  is shown with measured field data that is in excellent agreement with predicted  field components Bx, By and Bz, which are plotted in  Figs. 19b,c,d.

Furlani research group aims to use computational modeling for the rational design of magnetic materials, structures and related devices

Overview

Magnetic materials are widely used as enabling components in a broad range of applications involving energy generation, communications, data storage, electronics, precision motion and control, medical imaging and sensing. Modern high-strength rare-earth materials such as neodynium iron boron (NdFeB) are of special interest because of the extraordinary high fields that they provide in a compact physical format. Research in the Fulani group involves computational modeling for the rational design of magnetic materials, structures and related devices*. This includes the prediction and optimization of magnetic fields and forces, analysis of magnetic induction effects, the design of electromechanical transducers (macroscale to MEMS/NEMS) and the analysis of quasistatic phenomena involving eddy currents. Model validation and material/device characterization is performed in Furlani’s lab using state-of-the-art tools such as the SENIS magnetic field mapper (shown below), which enables precision measurement of 3D magnetic fields due to arbitrary source (material/device) geometries with 10 µm spatial resolution.

Resulting Publications

  • E. P. Furlani. (2001). Permanent magnet and electromechanical devices: materials, analysis, and applications. Academic Press.