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Record W4415727539 · doi:10.1016/j.ijrmhm.2025.107532

Hetero-deformation-induced hardening of AlNbTaTiV refractory high-entropy alloy particles through mechanical alloying

2025· article· en· W4415727539 on OpenAlexafffund
Marvin S. Tolentino, Aisa Grace D. Custodio, Gobinda C. Saha, Clodualdo Aranas

Bibliographic record

VenueInternational Journal of Refractory Metals and Hard Materials · 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
KeywordsNanoindentationAlloyHardening (computing)Indentation hardnessRefractory (planetary science)Homogenization (climate)DissolutionRaw materialMicrostructureWork hardening

Abstract

fetched live from OpenAlex

In this work, lightweight refractory high-entropy alloy (RHEA) particles (AlNbTaTiV) were manufactured through different mechanical alloying (MA) techniques and exhibited unique multi-phase structures. During the milling process, the phase formation and chemical homogenization mechanisms were found to be mainly influenced by MA routes and milling times. After 24 h of milling time, both MA routes (i.e., conventional and sequential) formed unique body-centered cubic (BCC) phases, identified as Ta-rich (BCC1), V-rich (BCC2), and Nb-rich (BCC3) phases, which are responsible for the significant strengthening of the RHEA particles. Then, an interesting mechanism was observed during the sequential MA after the addition of V to the AlNbTaTi system (predominantly BCC1 phase). A large spike in lattice parameter and dislocation density was detected, resulting in approximately a two-fold increase in hardness, a phenomenon triggered by the limited dissolution of V in BCC1, leading to lattice strains. Generally, the MAed AlNbTaTiV RHEA particles exhibited high nanoindentation hardness values of 12.80 GPa and 7.90 GPa after conventional and sequential MA, respectively. These high hardness values (i.e., higher than values available in literature) are linked to the multi-phase system with a heterogeneous structure, leading to the strengthening effects via hetero-deformation-induced hardening. In addition to lightweighting, the Al addition resulted in highly negative mixing enthalpies, causing hierarchical chemical fluctuations and eventually promoting strength. In general, this research sheds light on the potential of MAed AlNbTaTiV RHEA particles with heterogeneous structure-induced hardness as a candidate feedstock material for various consolidation techniques and thermal spray processes, such as cold spray additive manufacturing. • Mechanical alloying produced multi-phase, hetero-structured AlNbTaTiV particles. • Milling for 24 h resulted in the formation of Ta-, V-, and Nb-rich BCC phases. • Microstructural analysis per milling time revealed the stages of particle formation. • Sequential addition of Ti and V influenced the phase formation and particle hardness. • Hetero-deformation-induced hardening in AlNbTaTiV particles led to high hardness.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.021
GPT teacher head0.275
Teacher spread0.254 · 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 source (direct Gemma or distilled Codex), 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".

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Citations1
Published2025
Admission routes2
Has abstractno

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