Analysis and Validations of Fluid Dynamic Bearing for Spindle Motors of High-Density Optical Disc Players
Bibliographic record
Abstract
In recent times, the need to reduce the profiles of spindle motors in optical data storage devices without sacrificing their performance has become apparent. With the advent of high-density optical disc technology and reduction in the track pitch, spindle motors must have stable performance while tracking on narrow-pitch disks. In this paper, we present the structure and validations of the performance of a newly developed spindle motor (height 6.1 mm) using fluid dynamic bearing (FDB) for portable optical storage devices. The dynamic characteristics of the spindle motor before and after the accelerated life test are investigated experimentally. The noncontact phenomenon of the motor's shaft and FDB is also verified by using a laboratory-built apparatus. It was observed that the decrease in the axial repeatable runout (RRO) of the developed motor was up to 50% of that of the conventional spindle motor. All of the above validations prove that the developed FDB spindle motor has the potential for minimizing RRO, lowering acoustical noise, and improving reliability in portable optical storage devices.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".