RF Plasma Deposition of Refractory Metals Case Study for Tungsten
Bibliographic record
Abstract
Abstract The paper presents an integrated study of the effects of RF plasma spray process parameters on the particle melting, particle spheroidisation and acceleration in the plasma, particle-substrate interactions and final deposit properties. Particle temperatures and velocities have been studied, by both experimental and numerical simulation methods, as functions of spray particle diameters. In-flight spheroidisation behavior was also observed by means of a particle capturing technique while splat formation was studied on polished stainless steel substrates. Optimized process parameters were then estimated and used to produce deposits on stationary substrates. Deposit properties, such as splat shape and crystal grain morphologies, apparent densities and deposition efficiencies were observed and processing parameters further optimized. The results obtained indicate that the advantages of the RF inductively coupled plasma spray technique, such as the longer particle residence time in the plasma and “cleanliness” of the process can be efficiently utilized to deposit dense tungsten metal parts or coatings.
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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 | 0.001 | 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".