Superalloy Skin on Nickel Open-Pore Foam Deposited by Thermal Spray Processes
Bibliographic record
Abstract
Open pore metallic foams can be used for high temperature, high performance heat exchanger due to their high gas permeability and heat conductivity provided that skins properly attach to the foam’s struts on the surface. In the current study, a novel process was successfully developed to fill pores on the surface of the foam sheet in order to deposit skin on the foam specimens by thermal spraying. Nickel based superalloy (Inconel 625) skins were deposited on each side of a sheet of nickel metal foam with different pore densities of 10 and 20 pores per inch by high velocity oxy-fuel (HVOF), atmospheric plasma spraying (APS), and twin wire arc spraying to form a sandwich structure. The sandwich structure can be used in high temperature heat exchanger applications. The penetration of the coating materials into the foam struts can be controlled through the filling process before spraying. The microstructure of the skins and the adhesion at the interface between the nickel foam’s struts and skins were characterized. Results showed dense skins with good adhesion to the surfaces of the foam. The foam’s struts were imbedded into the coatings deposited by HVOF more deeply than the coatings deposited by APS and wire arc spraying. Skins deposited by HVOF and wire arc spraying showed higher bending strength than the skin deposited by APS due to lower porosity and oxide content in the coating.
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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".