3D observations of room temperature capillary infiltration mechanism in SiC compacts
Bibliographic record
Abstract
The melt infiltration of a liquid metal is a successful method for densifying metal and ceramic matrix composites (CMC). The reduction of residual porosity of silicon carbide composites by infiltration of molten silicon into the matrix allows to reach interesting mechanical properties. However, fluid progression within the pore network of the granular matrix is a complex phenomenon, driven by physical and thermomechanical mechanisms that are not yet fully understood. This publication focuses on the capillary impregnation at room temperature and highlights important parameters related to the physical aspect of the process. Two different model fluids ( n -hexadecane and exo -dicyclopentadiene) were used to reproduce the behaviour of molten silicon alloy . During the infiltration, the monitoring of the infiltrated liquid weight, along with the image acquisition, was used to compare the infiltration difference between several types of samples. An innovative way to interrupt and fix liquid inside samples, based on rapid polymerization , was investigated during capillary rise experiments. The correlation between 2D observations and 3D volumes obtained by tomography outlines the existence of two different flow fronts, the surface flow front (SFF) which often have a flat shape, and a second inside the sample, the volume flow front (VFF), which shows a paraboloid shape.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".