研究目的
To address the issue of NFT self-heating in HAMR technology, which significantly reduces write-head lifetimes, by deriving fundamental limits on the NFT/media temperature ratio and employing inverse electromagnetic design software to reduce NFT self-heating.
研究成果
The proposed fat NFT with a large solid angle of heat conduction and computationally generated waveguide patterns offer a 50% reduction in NFT self-heating compared with typical industry designs, potentially improving HAMR write head lifetimes significantly.
研究不足
The study is computationally demanding, requiring high-performance computing resources. The exact waveguide mode and material properties in commercial products must be accounted for in the optimization.
1：Experimental Design and Method Selection:
The study involves deriving a simple analytic model for the NFT/media temperature ratio and using inverse electromagnetic design software for optimizing the NFT and waveguide geometries.
2：Sample Selection and Data Sources:
The study uses computational models of HAMR systems, including metallic NFTs and multi-layered media stacks.
3：List of Experimental Equipment and Materials:
Commercial FDTD Maxwell solver (Lumerical FDTD), in-house high-performance computing cluster.
4：Experimental Procedures and Operational Workflow:
The process includes simulating the optical and thermal properties of HAMR systems, optimizing waveguide patterns using inverse design software, and comparing the performance of different NFT designs.
5：Data Analysis Methods:
The analysis involves evaluating the light intensity ratio between the hotspot and unwanted side lobes in the media and assessing the temperature rise in the NFT and media.
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