Evaluation of the Mechanical Behavior of Biomorphic Silicon CarbideDerived From Low-Density Peruvian Woods
Bibliographic record
Abstract
Low-density Peruvian woods (tornillo and bolaina) were used as raw material for the manufacture of biomorphic silicon carbide.The plant precursors were physically-mechanically characterized and then pyrolyzed at 900 ° C in an argon atmosphere to obtain carbon templates, which were then infiltrated with metallic silicon to obtain silicon carbide with mimicked microstructures.The values found for moisture absorption, basic density and average mechanical strength in uniaxial compression were 6.51%, 0.49 g/cm 3 and 42.5 MPa, respectively, for the tornillo and 6.99%, 0.42 g/cm 3 and 41.5 MPa, respectively, for the bolaina.Samples of biomorphic SiC derived from tornillo and bolaina presented a homogeneous and porous microstructure, the phases of SiC, Si and remaining carbon could be clearly identified.The mechanical results of the SiC samples studied showed high dispersion, with respect to the maximum resistance values, which ranged between 194 and 440 MPa for the tornillo -derived SiC and between 30 and 77 MPa for the bolaina -derived SiC.
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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) | 0.000 | 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 | 0.000 | 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".