Simulation of texture formation processes in carbonaceous mesophase fibres
Bibliographic record
Abstract
Carbon fibres are spun from carbonaceous mesophases using standard melt spinning techniques. These melt spun carbon fibres exhibit a set of distinct cross-sectional textures. Two widely reported textures in literature are the planar radial (PR) and planar polar (PP). This work uses a mesoscopic model, based on the classical Landau-de Gennes theory of liquid crystals adapted to carbonaceous mesophases, to elucidate the principles that control the texture formation processes. The model is able to capture the microstructure and the formation of the PR and PP textures. A phase diagram for classical PR and PP textures has been constructed in terms of temperature and fibre radius, thus establishing the processing conditions and geometric factors that lead to the selection of these textures. The multipath formation process of the planar polar texture through defect splitting, direct planar polar formation, and defect annihilation has been thoroughly characterized. The results of this work provide new knowledge for optimization and control of mesophase carbon fibre textures.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".