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Record W4417066200 · doi:10.1016/j.matdes.2025.115284

Modifying strengthening mechanisms in MoNbZrTiV refractory high-entropy alloy particles through different mechanical alloying routes

2025· article· en· W4417066200 on OpenAlexafffund
Marvin S. Tolentino, Aisa Grace D. Custodio, Gobinda C. Saha, Clodualdo Aranas

Bibliographic record

VenueMaterials & Design · 2025
Typearticle
Languageen
FieldEngineering
TopicHigh Entropy Alloys Studies
Canadian institutionsUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of CanadaAtlantic Canada Opportunities AgencyNew Brunswick Innovation FoundationCanada Foundation for InnovationTransport Canada
KeywordsLamellar structureAlloyDislocationPhase (matter)Refractory (planetary science)Solid solution strengthening

Abstract

fetched live from OpenAlex

MoNbZrTiV refractory high-entropy alloy (RHEA) particles are developed using conventional and sequential mechanical alloying (MA) routes at varying milling times. The conventional MA route employed a single-step milling of Mo, Nb, Zr, Ti, and V. In contrast, the sequential MA route started with the milling of MoNbZr, followed by a stepwise addition of Ti and V at specific milling intervals. Increased interdiffusion zones, resulting from finer lamellar structure formation, lead to ‘chemical homogenization’ and are observed with increasing milling time. After 24 h of milling, comparable experimental hardness values are recorded, 7.62 GPa for conventionally milled and 7.48 GPa for sequentially milled particles, primarily due to the evolution of three body-centered cubic (BCC) phases, corresponding to Nb-, Zr-, and V-rich phase structures in both MA routes. Further investigations suggest a distinct difference in the calculated dislocation densities, phase volume fractions, and the related phase strengthening mechanisms between the two routes as a function of milling time. Conventionally milled particles exhibit dislocation strengthening, whereas sequentially milled particles reveal possible dislocation motion impediment associated with V-V split interstitial defect formation. Further, the thermodynamic parameters (complemented with calculated power and energy) provided valuable predictions for the multi-phase solid solution formation.

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 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 score0.265
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.022
GPT teacher head0.236
Teacher spread0.215 · 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.

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

Citations0
Published2025
Admission routes2
Has abstractyes

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