Preparation of Graded-Index Plastic Optical Fibers by the Diffusion-Assisted Coextrusion Process
Bibliographic record
Abstract
A poly(methyl methacrylate) (PMMA) base gradient-index plastic optical fiber (GI-POF) was fabricated by the diffusion-assisted coextrusion process using diphenyl sulfide (DPS) as a refractive index modifying dopant. In the diffusion-assisted coextrusion process, PMMA containing DPS and pure PMMA were coextruded concentrically as the core and cladding, respectively. Subsequently, DPS contained in the core was allowed to diffuse in the diffusion zone of a coextrusion die forming a gradually varying concentration gradient in the radial direction. Thereby, a refractive index profile was created. The refractive index profile was then characterized by measuring the concentration profile of DPS using FT-IR spectroscopy. The measured profiles showed a good agreement with the predictions of the theoretical model reported previously ( Ind. Eng. Chem. Res. 2001, 40, 3740). Because the concentration profile of the dopant is strongly affected by its diffusivity, the refractive index profile could be controlled by adjusting the processing temperature and/or the residence time of the materials in the coextrusion die. The results of this study suggest that the diffusion-assisted coextrusion process is a viable method to fabricate a GI-POF with a bandwidth higher than 600 Mbits/s at a distance of 100 m.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".