Electrospark‐Deposited AlCrFeCoNi High‐Entropy Alloy Coatings on Steel: Microstructure Evolution, Mechanical Properties, and Corrosion Response
Bibliographic record
Abstract
Recent advancements in high entropy alloys have garnered considerable attention due to their exceptional properties, especially for applications in extreme environments, where coating materials are critical to performance and cost‐effectiveness. This study investigates the microstructure, mechanical properties, and corrosion behavior of AlCrFeCoNi high entropy alloys (HEA) coatings deposited on medium carbon steel using electrospark deposition. The as‐deposited coatings exhibit a body‐centered cubic phase with cellular grains and a uniform elemental distribution. Postdeposition heat treatment induces elemental diffusion, leading to phase segregation, elemental clustering, and a noticeable reduction in microhardness from 730 to 540 HV, and yield strength from 1036 to 761 MPa. Both as‐deposited and heat‐treated coatings demonstrate enhanced corrosion resistance, with the latter showing corrosion rates in both NaCl solution of 5.31 μA cm −2 lower, and acidic environments of 6.17 μA cm −2 lower. These findings highlight the potential of AlCrFeCoNi HEA coatings for extending the service life of components operating under harsh conditions.
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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".