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Record W4405311026 · doi:10.1016/j.msea.2024.147674

Substitutional effects of Al and Mn on the microstructure and mechanical response of Cantor-derived high-entropy alloys for nuclear structural applications

2024· article· en· W4405311026 on OpenAlexafffund
Muyideen Adegbite, Ahmed A. Tiamiyu

Bibliographic record

VenueMaterials Science and Engineering A · 2024
Typearticle
Languageen
FieldEngineering
TopicHigh Entropy Alloys Studies
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaAlberta Innovates
KeywordsMicrostructureHigh entropy alloysMaterials scienceEntropy (arrow of time)MetallurgyCondensed matter physicsThermodynamicsPhysics

Abstract

fetched live from OpenAlex

As global energy demands rise, nuclear energy offers a clean and sustainable solution, albeit with safety concerns. Designing next-generation nuclear reactors requires advanced materials with stringent properties, and Cantor-derived high-entropy alloys (HEAs) recently emerged as promising alternatives to conventional nuclear structural-alloys. Among these, Al 0.3 CoCrFeNi is widely studied but is metastable, posing challenges for nuclear applications where stable and low void swelling single-phase FCC-alloys are preferred. Guided by empirical parameters and CALPHAD, we design and develop a novel Cantor-derived FCC-stable Mn 0.3 CoCrFeNi HEA as a potential substitute for Al 0.3 CoCrFeNi. The microstructure and mechanical behaviors of Al 0.3 CoCrFeNi and Mn 0.3 CoCrFeNi under uniaxial quasi-static and dynamic strain-rates were evaluated in three processing conditions—as-cast (AC), homogenized and cold-rolled (CR), and homogenized, cold-rolled and annealed (CRA)—as a first experimental installment towards Mn 0.3 CoCrFeNi candidacy. AC-Mn 0.3 CoCrFeNi exhibits unique “casting twin boundaries” and suppressed cell-structure. While the hardness and yield strength of the AC and CRA samples for both alloys are comparable, those of CR-Mn 0.3 CoCrFeNi surpasses CR-Al 0.3 CoCrFeNi due to higher prior-deformation twins and dislocation density in the former. Unique Type A serration-dynamic strain aging (DSA) is observed in AC and CRA-samples of both HEAs under room temperature/low strain-rate conditions, and it delays instability onset. Meanwhile, DSA suppression in CR samples and those under high strain-rates are attributed to increased dislocation-dislocation and phonon drag-dislocation interactions, respectively. Additionally, Mn 0.3 CoCrFeNi demonstrates a superior strain-hardening rate under all conditions due to Mn 0.3 CoCrFeNi’s lower stacking fault energy and critical twinning stress. These findings establish Mn 0.3 CoCrFeNi as a mechanically-superior candidate for nuclear structural applications.

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.

How this classification was reachedexpand

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 score0.042
Threshold uncertainty score0.292

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 head0.004
GPT teacher head0.200
Teacher spread0.195 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2024
Admission routes2
Has abstractyes

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