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Record W4392558999 · doi:10.1016/j.mtcomm.2024.108558

Corrosion behavior of FeCrNi medium-entropy alloy fabricated by laser powder bed fusion

2024· article· en· W4392558999 on OpenAlex
Ao Fu, Yuankui Cao, Zhengyan Zhou, Jian Wang, Khashayar Khanlari, Bingfeng Wang, Bin Liu

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.

Bibliographic record

VenueMaterials Today Communications · 2024
Typearticle
Languageen
FieldEngineering
TopicHigh Entropy Alloys Studies
Canadian institutionsUniversité de Sherbrooke
FundersNatural Science Foundation of Hubei ProvinceNational Natural Science Foundation of China
KeywordsMaterials scienceCorrosionMicrostructureAlloyFusionMetallurgyGrain boundaryComposite material

Abstract

fetched live from OpenAlex

The corrosion behavior of the FeCrNi medium-entropy alloy (MEA), additively manufactured using laser powder bed fusion (LPBF), were investigated in this research. Compared with the LPBF 316 L stainless steel (SS), the LPBF FeCrNi MEA shows a superior corrosion resistance in the 3.5 wt% NaCl solution. The Cr 2 O 3 -rich passive film formed on the LPBF FeCrNi MEA has fewer defects, better self-repairing ability, and consequently a stronger protective property than that of the LPBF 316 L SS. The high value of Cr/Fe ratio in the passive film, caused by the supersaturated Cr (>30 at%) and the refined microstructure (increased grain boundary density), is the main reason for the superior corrosion resistance of the LPBF FeCrNi MEA.

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 categoriesnone
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 score0.041
Threshold uncertainty score0.850

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.255
Teacher spread0.240 · 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