Effect of Microstructure on Wear and Corrosion Performance of Thermally Sprayed AlCoCrFeMo High‐Entropy Alloy Coatings
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
High entropy alloys (HEAs) represent a new class of advanced metallic alloys that exhibit unique structural features and promising properties. The potential benefit of HEAs, in conjunction with established thermal spray manufacturing technologies, can provide a practical approach to mitigate wear and corrosion. Equiatomic AlCoCrFeMo HEA were fabricated using cold‐spraying and flame‐spraying, aiming to investigate the effect of low‐temperature and high‐temperature responses to phase formations, microstructural evolution, and microhardness. The performance evaluation during abrasive damage and electrochemical corrosion were also investigated. Microstructural studies revealed that coatings with body‐centered cubic (BCC) phases, where oxides were found in the flame‐sprayed coatings during in‐flight deposition. Hardness of the flame‐sprayed coatings showed noticeably (5.78 ± 0.45 GPa) higher than to that of the cold‐sprayed coatings (3.6 ± 0.48 GPa). Lower wear rates were achieved for the flame‐sprayed coatings (compared to the cold‐sprayed coatings. Oxide formations in the flame‐sprayed coatings decreased its corrosion performance such that it was two times lower than that of cold‐sprayed coatings. The results show that the microstructural features of flame‐sprayed coatings, coupled with formation of oxide inclusions resulted in improved resistance to damage due to wear loading, but undermined resistance to electrochemical degradation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it