Topology optimization of a heat-assisted magnetic recording write head to reduce transition curvature using a binary
Gregor Wautischer1, Claas Abert2,3, Florian Bruckner2
1Faculty of Physics, University of Vienna, Vienna, Austria. gregor.wautischer@univie.ac.at.
Scientific Reports
|August 17, 2022
Summary
Shaping the magnetic write field can reduce transition curvature in heat-assisted magnetic recording. However, this optimization alone does not improve the read-back process, necessitating novel head designs.
Area of Science:
- Data Storage
- Materials Science
- Electrical Engineering
Background:
- Heat-assisted magnetic recording (HAMR) faces challenges with transition curvature.
- Conventional write head designs struggle to counteract heat pulse profiles.
Purpose of the Study:
- Investigate reducing transition curvature in HAMR using shaped recording fields.
- Explore topology optimization of write head tips for improved field profiles.
Main Methods:
- Utilized adjoint method for topology optimization gradients.
- Employed a binary optimization scheme with linearized and non-linear material parameters.
- Evaluated optimized fields via switching probability phase diagrams.
Main Results:
- Shaped cross-track write fields successfully reduced transition curvature.
- Optimized fields did not inherently improve signal-to-noise ratio or channel bit density.
- Linearized material parameter optimizations showed comparable results to non-linear ones.
Conclusions:
- Shaping write fields alone is insufficient for enhancing HAMR read-back performance.
- Novel head designs incorporating additional parameters are required for HAMR advancements.
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