Summary

Top 10 papers analyzed

The study and development of optical flying heads (OFHs) and Near-Field Recording (NFR) technology aim to significantly enhance data storage density by allowing data to be written and read at a scale surpassing the traditional diffraction limit of lasers. This technology involves numerous critical design components, including the air bearing surface (ABS), optical pickup unit (OPU), and a magneto optical (MO) coil, which work collectively to maintain precise positioning of the optical head on the disk surface. Two distinct slider designs were proposed—slot and barrel—each constructed with engineering plastic materials to optimize durability and manage assembly tolerances effectively. Implementing a dual-stage actuator system, the NFR technology enables coarse and fine adjustments, securing precise placement of the OFH on the disk, thereby improving data writing and reading accuracy. These advancements are part of broader efforts to increase data storage capabilities in high-density optical media. US Patent 6,920,104 B2 elucidates an innovative approach to cooling and controlling near-field optical storage systems, essential in managing heat and maintaining functionality, which highlights an air induction channel system extending to a collective lens on the head slider. This strategic design helps mitigate temperature increases from incident light, which can affect the performance and stability of NFR systems. Additionally, research on this technology is complemented by procedural guidance from US Patent 6,094,803, focusing on efficient methods for constructing the optical head using high numerical aperture catadioptric lenses that minimize optical aberrations. Enhanced by the capability to integrate magneto optical (MO) coils and lenses onto a flat wafer substrate, these methods are intended to enhance production scalability and precision in advanced optical manufacturing processes. With continuous innovations in optical flying head designs and enhancements in cooling and actuator systems, NFR technology is set to play a pivotal role in the future of data storage. The implications of these advancements are vast, promising not only increased storage capacities but also improved longevity and reliability of optical storage devices.

Consensus Meter

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No - 0%
Non conclusive - 100%

Developed optical flying head designs enhance near-field recording with improved durability and performance. Evaluated flying characteristics and optical performance for practical application.

Published By:

S Kim, Y Kim, JM Park, JY Kim… - Japanese journal of …, 2002 - iopscience.iop.org

NFR technology reduces spot size for higher data density; dual-stage actuators ensure precision.

Published By:

JH Jeong, JY Shim, SQ Lee, JH Lee… - … on Optical Memory …, 2002 - ieeexplore.ieee.org

Near field optical recording device reduces lens heating through airflow cooling. A disk rotation induces airflow via channels, preventing overheating.

Published By:

SK Kim - US Patent 6,920,104, 2005 - Google Patents

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Published By:

S Imanishi, M Takeda, M Yamamoto… - Japanese journal of …, 2003 - iopscience.iop.org

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Published By:

A Furuya, A Sasaki, H Morimura, K Aihara… - Japanese Journal of …, 2013 - iopscience.iop.org

Wafer processing creates self-aligning MO heads with high NA lenses, minimizing spot aberration. Heads are mass-produced via wafer alignment, ensuring efficient coil placement and optical precision.

Published By:

C Carlson, J Miceli, H Chen, C He, CC Cheng… - US Patent …, 2000 - Google Patents

Novel prognostics system integrates Bayesian inference and particle filtering for machine health. Experimental results show potential applications in effective, simple machine health prognostics.

Published By:

J Yu - Journal of Sound and Vibration, 2015 - Elsevier

The NFABF framework effectively assesses bearing health by unifying sample types into a latent space. It surpasses baselines with superior performance using real wind turbine data.

Published By:

K Zhang, G Liu, Q Yang, Y Liu - IEEE Transactions on …, 2025 - ieeexplore.ieee.org

DBN effectively predicts short-term and long-term bearing health conditions, outperforming existing methods. The approach doesn't require explicit models, increasing flexibility for big data applications.

Published By:

G Zhao, X Liu, B Zhang, G Zhang… - … Conference of the …, 2017 - pdfs.semanticscholar.org

BearLLM unifies bearing-related tasks by processing user prompts and vibration signals. It achieves state-of-the-art performance on nine benchmarks using a unified vibration signal representation.

Published By:

H Peng, J Liu, J Du, J Gao, W Wang - Proceedings of the AAAI …, 2025 - ojs.aaai.org