Topology optimization of a heat-assisted magnetic recording write head to reduce transition curvature using a binary optimization algorithm utilizing the adjoint method.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
17 Aug 2022
Historique:
received: 25 04 2022
accepted: 05 08 2022
entrez: 17 8 2022
pubmed: 18 8 2022
medline: 18 8 2022
Statut: epublish

Résumé

In this work, the possibility to reduce transition curvature in heat-assisted magnetic recording, using a conventional write head design, by shaping the recording field to counteract the circular profile of the heat pulse is investigated. Topology optimization of the head tip is performed in order to create the desired cross-track field profile for increasing distances from the write head tip. For the topology optimization, the adjoint method is utilized to calculate the necessary gradients and a binary optimization scheme is proposed. The optimizations are performed considering linearized material parameters reducing the computational complexity and the results are compared to optimizations incorporating the full non-linear material behavior. The optimized field profiles are evaluated for their influence on the read-back process. To do so, switching probability phase diagrams are calculated and the curvature parameter, the signal to noise ratio and the channel bit density are extracted. The presented results show that while transition curvature can be reduced by shaping the cross-track profile of the write field, this alone does not consequently lead to an improvement of the read back process. Therefore, completely new head designs, considering additional parameters have to be investigated.

Identifiants

pubmed: 35977976
doi: 10.1038/s41598-022-18112-z
pii: 10.1038/s41598-022-18112-z
pmc: PMC9385666
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

13986

Subventions

Organisme : Austrian Science Fund
ID : I 4917

Informations de copyright

© 2022. The Author(s).

Références

Sci Rep. 2022 Jan 21;12(1):1119
pubmed: 35064136

Auteurs

Gregor Wautischer (G)

Faculty of Physics, University of Vienna, Vienna, Austria. gregor.wautischer@univie.ac.at.

Claas Abert (C)

Faculty of Physics, University of Vienna, Vienna, Austria.
Research Platform MMM Mathematics-Magnetism-Materials, University of Vienna, Vienna, Austria.

Florian Bruckner (F)

Faculty of Physics, University of Vienna, Vienna, Austria.

Florian Slanovc (F)

Faculty of Physics, University of Vienna, Vienna, Austria.

Dieter Suess (D)

Faculty of Physics, University of Vienna, Vienna, Austria.
Research Platform MMM Mathematics-Magnetism-Materials, University of Vienna, Vienna, Austria.

Classifications MeSH