Optimization of ABS considering the static and dymamic characteristic for OFH

Kyoung Su Park, Jiwon Kim, No Chul Park, Jong Soo Lee, Dong Hoon Choi, Young Pil Park

Research output: Contribution to journalConference articlepeer-review

Abstract

The optical systems using the probe and solid immersion lens (SIL) have been researched as the technology to embody the near field recording (NFR) system. In NFR system, it is very important for the clearance between slider and disk surface to remain under 100nm in order to use effect on evanescent wave. The OFH should also have a small pitch to control the contamination effect. Because the larger the gap between leading edge of slider and disk is, the more particles come into SIL. As a result, they have a lot of bad influence on SIL. However, the flying stability turns bad as the pitch angle becomes small. Accordingly, it is necessary to consider dynamic characteristics in OFH ABS design. This research made two approximation models through the regression analysis and neural network, which are the parameter analysis based on optimization techniques. This study also used micro-genetic algorithm (|lGA) and design optimization tool (DOT). ABS shape of flying head was optimized with the object of remaining FH of several ten nano meter in static state. And the dynamic optimization was carried out toward decreasing FH modulation. As a result of static optimization, the flatness of flying height was restricted within 1% in inner diameter (ID) and outer diameter (OD). Besides, the flying height was remained about 50nm. In the dynamic optimization, the vertical sensitivity of dynamic optimal model was bigger than that of original model and the pitch sensitivities was also improved a bit.

Original languageEnglish
Article number596620
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5966
DOIs
Publication statusPublished - 2005
EventSeventh International Symposium on Optical Storage, ISOS 2005 - Zhanjiang, China
Duration: 2005 Apr 22005 Apr 6

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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