Through-the-jacket inscription of fiber Bragg gratings using femtosecond infrared radiation for sensor applications
Bibliographic record
Abstract
Silica-based fiber Bragg gratings (FBG) sensors are versatile devices that are typically fabricated using UV laser exposure. As most standard optical fiber polymer coatings are highly absorbing in the UV, grating inscription typically requires the removal and reapplication of the protective coating by either chemical or mechanical means. Optical fiber stripping and recoating are time-consuming processes that can seriously degrade the mechanical integrity of the fiber. For high temperature sensor applications (> 200 °C), the optical fiber is coated in polyimide which is resistant to chemical attack. Invasive and hazardous techniques for its removal are required such as hot sulphuric acid stripping. In this paper, results of FBG inscription directly through the polymer coating of standard optical fiber with a femtosecond infrared laser and a phase mask are reviewed. Significant grating reflectivities are achieved along with improved mechanical reliability and performance at elevated temperatures. The only example of direct FBG inscription through polyimide coatings for high temperature stable grating sensors will also be presented.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".