EFFECTS OF GRAPHITIZATION DEGREE ON THE ELECTRICAL CONDUCTIVITY OF C/C COMPOSITES
Bibliographic record
Abstract
S: Five kinds of C/C composites were selected as object materials to investigate the electrical resistivity dependence on graphitization degree. The effecting factors were analyzed and summarized. Experimental results showed a tendency that the electrical resistivity of all C/C composites decreased linearly with the increase of graphitization degree, and their relation can be written into the following equation of ρ=ag+b. Such relation is valid at least in the whole range of graphitization degree investigated. It should be ponited out that the parameters of a and b have different values for various materials and they are controlled by microstructure and apparent density. For composites with similar microstructures, parameter a is equal. The composites with higher apparent density always have lower values for parameters a and b. It implies that their electrical conductivity can be improved. The electrical conductivity of the composites is less sensitive to the graphitization degree, as compared with the apparent density. Because of the relatively high accuracy and easier operation for detecting, electrical resistivity can be used as an indirect index to reflect the graphitization degree of C/C composites.
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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 | 0.001 | 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".