Effect of C and Al Elements on High Resistivity and High Rigidity of Ultra-High Strength TiC<sub>(1−</sub><i><sub>X</sub></i><sub>)</sub>/Ti-Metal Matrix Composites Fabricated by Blended Elemental Reactive Sintering
Bibliographic record
Abstract
The effects of the C and Al content on the resistivity and rigidity of newly developed ultra-high strength titanium-based metal matrix composites (Ti-MMCs) fabricated using a technique that we refer to as blended elemental reactive sintering (BERS), were investigated. The composition of the MMCs was TiC(1−X)/Ti-6Al-4V and Ti-8.6Al-5.7V, which were compared with those for TiB/, SiC/and AlN/Ti-MMCs. The blended TiC reacted with Ti powder and transformed to TiC(0.50～0.62) during sintering. The resulting TiC(0.50～0.62)/Ti-8.6Al-5.7V exhibited a specific resistance of 2.3 μΩm, a Young's modulus of 135 GPa, and a tensile strength of 1.25 GPa, with a substantial elongation of approximately 2.5％. On the other hand, TiB/Ti-6Al-4V had excellent mechanical properties, but an extremely low electrical resistance because the conducting TiB particles have a resistivity of only 0.07 μΩm. Blended SiC and AlN also reacted with Ti powder during sintering and formed a brittle phase at the interface between the particles and the Ti matrix. As a result, Ti-6Al-4V MMCs that are suitable for use as structural materials could not be fabricated using BERS with SiC or AlN.
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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".