Issue |
Eur. Phys. J. Appl. Phys.
Volume 78, Number 2, May 2017
|
|
---|---|---|
Article Number | 20301 | |
Number of page(s) | 6 | |
Section | Thin Films | |
DOI | https://doi.org/10.1051/epjap/2017170060 | |
Published online | 19 May 2017 |
https://doi.org/10.1051/epjap/2017170060
Regular Article
Simulation of magnetic footprints for heat assisted magnetic recording
1
College of Advanced Manufacturing Innovation, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand
2
Department of Electrical Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand
3
Department of Computer Engineering, Faculty of Engineering, Nakhon Phanom University, Nakhon Phanom 48000, Thailand
4
Seagate Technology (Thailand) Ltd., Samutprakan 10270, Thailand
a e-mail: arkom@elec.kku.ac.th
Received:
14
February
2017
Revised:
29
March
2017
Accepted:
3
April
2017
Published online: 19 May 2017
The heat assisted magnetic recording (HAMR) technology has been the promising candidate to overcome the thermal stability limitation at higher capacities of the hard disk drive. In this work, the characteristics of magnetic footprint of the medium written by HAMR were investigated through the micromagnetic simulations. The Voronoi granular media was firstly modeled, then the magnetic footprint technique was performed to observe the media behaviors at various linear densities. The results indicated that the pattern of magnetic footprint can be perverted at higher densities, which essentially causes a reduction of readback signal power. Also, the dependence of media grain size on the signal power shows that the larger grain size media can provide higher signal power at low linear density, while the smaller grain size media gives higher signal at high density. Thus, the magnetic footprint regarding the HAMR technology needs to be optimized to achieve the efficient recording system.
© EDP Sciences, 2017
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.