The role of ceramic characteristics in cold sprayed metal/ceramic interfaces
Bibliographic record
Abstract
The cold spray technique, historically used for metals, is increasingly being used to fabricate metal matrix composites (MMCs) and for metallization of ceramics. The quality of these materials depends on the nature of the metal/ceramic interfaces made by high speed impact. For example, the adhesion of these metal/ceramic interfaces affect the properties of MMCs, such as their wear and corrosion resistance. Here, we studied the interface of single titanium splats deposited on alumina and silicon carbide substrates. Adhesion strength is measured by a specialized splat adhesion test. The type of ceramic has a significant effect on adhesion strength and critical velocity. Surface roughness also influences adhesion and bonding mechanism in the titanium/alumina interface. Bonding on the smooth alumina substrate is associated to adiabatic shearing of the particles at impact. Bonding on the rough substrate is mainly mechanical. Interface characteristics are discussed through post-test characterization with scanning electron microscopy.
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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 | 0.001 | 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".