Formation of Glassy Alloy Coating by High Velocity Thermal Powder Deposition and their Applications
Bibliographic record
Abstract
Glassy alloy is a promising material for a wide range application because of its superior mechanical and chemical characteristics. If the forming technology, which realizes a glassy alloy coating on the surface of various products, was established, its application will be widely expanded.In this description, first, we described to produce the glassy phase coating by using Fe43Cr16Mo16C15B10 glassy alloy powder and HVOF (High Velocity Oxy-Fuel) spraying process. And it was coated onto the substrate such as stainless-steel, aluminum-alloy and magnesium-alloy. As a result, we confirmed it possible to produce them on each substrate.Second, to examine the formation process to attain the glassy phase coating, we carried out experiment of coating, using Fe43Cr16Mo16C15B10 glassy alloy powder and crystallized powders of it, and two different thermal-spraying-equipment (HVOF: High Velocity Oxy-Fuel, APS: Atmospheric Plasma Spraying). As a result, in HVOF, most glassy alloy particles were estimated to coat with the glassy phase due to its low viscosity flowing in super-cooled liquid state without melting. And we also confirmed it possible to get the glassy phase coating extremely stably in HVOF, as compare with coating in APS that almost particles were completely melted.As the examples to practice application, we introduced "erosion resistance against lead-free solder", "coating for metal bipolar plate" and "soft magnetic coating".
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".