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Record W4406243329 · doi:10.1063/5.0233987

Imaging pyrometry of metal fragments initially generated during the supersonic impact of reactive metal projectiles

2025· article· en· W4406243329 on OpenAlexaff
Dihia Idrici, Samuel Goroshin, Jason Loiseau, David L. Frost

Bibliographic record

VenueJournal of Applied Physics · 2025
Typearticle
Languageen
FieldMaterials Science
TopicHigh-Velocity Impact and Material Behavior
Canadian institutionsRoyal Military College of CanadaMcGill University
Fundersnot available
KeywordsPyrometerMetalSupersonic speedProjectileMaterials scienceMetallurgyPhysicsAerospace engineeringTemperature measurementEngineering

Abstract

fetched live from OpenAlex

The early stage of the impact-initiated reaction of supersonic cylindrical reactive metal projectiles (magnesium, aluminum, titanium, and zirconium) with an inert aluminum oxide target is investigated experimentally with impact velocities from 1.1 to 1.3 km/s. A three-color imaging pyrometer is used to obtain temperature maps of the condensed fragments generated during the first few microseconds following contact between the projectile and the target. Experiments conducted in inert and oxidizing atmospheres confirm that chemical reactions initiate readily upon contact between the projectile and the target. In oxidizing atmospheres, the fragment temperatures measured for each metal are, on average, below but near the respective adiabatic temperature in air, except for Zr which produced temperatures significantly below expectations. Only the particles shed at the interface between the projectile and the target visibly react with the oxygen in the ambient atmosphere. At the impact velocities under study, only a small fraction, on the order of a few percent, of the mass of the projectile is finely fragmented during the initial impact event.

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 score0.013
Threshold uncertainty score0.501

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 head0.015
GPT teacher head0.294
Teacher spread0.279 · 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

Citations4
Published2025
Admission routes1
Has abstractyes

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