Modelling of Packed Co Nanorods for Hard Magnetic Applications

  • Toson P
  • Wallisch W
  • Asali A
  • et al.
N/ACitations
Citations of this article
10Readers
Mendeley users who have this article in their library.

Abstract

We present a numerical algorithm based on the bullet physics library to generate densely packed (39% - 41%) structures of high-aspect-ratio nanorods for finite element micromagnetic simulations. The coercivities ? 0Hc of the corresponding Cobalt nanorod structures vary between 0.50T and 0.67T, depending on the overall orientation of nanorods, which is in good agreement with experimental results. The simulations make it possible to estimate the coercivity loss due to incoherent reversal processes (27%) as well as the gain due to shape anisotropy (59%). Our calculations show permanent magnets consisting of packed Co nanorods with an energy density product (BH)max of 83kJ/m3. We estimate that this value can be increased to 103kJ/m3 by increasing the packing density from 40% to 45%. Another way to optimize (BH)max is the usage of novel materials. By varying the anisotropy constant K1 and the saturation polarisation JS we found lower limits for these parameters to reach a certain energy density product. To increase (BH)max to 160 kJ/m 3, K1 and JS have to be in the order of 450kJ/m3 and 2.25T, respectively. The thermal stability of this approach was verified by elastic band calculations. Cobalt nanorods with a diameter of 10nm and a height of 50nm are thermally stable at room temperature, but problematic at 900K. Doubling the nanorods' height to 100nm increases that limit considerably. ? Owned by the authors, published by EDP Sciences, 2014.

Cite

CITATION STYLE

APA

Toson, P., Wallisch, W., Asali, A., & Fidler, J. (2014). Modelling of Packed Co Nanorods for Hard Magnetic Applications. EPJ Web of Conferences, 75, 03002. https://doi.org/10.1051/epjconf/20147503002

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free