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Record W4210563640 · doi:10.1002/adem.202101713

Effect of Microstructure on Wear and Corrosion Performance of Thermally Sprayed AlCoCrFeMo High‐Entropy Alloy Coatings

2022· article· en· W4210563640 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAdvanced Engineering Materials · 2022
Typearticle
Languageen
FieldEngineering
TopicHigh-Temperature Coating Behaviors
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceMicrostructureCorrosionThermal sprayingMetallurgyGas dynamic cold sprayAlloyOxideAbrasiveIndentation hardnessHigh entropy alloysCoatingComposite material

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.002
GPT teacher head0.185
Teacher spread0.183 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it