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Record W1639410574 · doi:10.1063/1.1780275

Fragmentation of Reactive Metallic Particles during Impact with a Plate

2004· article· en· W1639410574 on OpenAlexaff
David L. Frost

Bibliographic record

VenueAIP conference proceedings · 2004
Typearticle
Languageen
FieldEngineering
TopicEnergetic Materials and Combustion
Canadian institutionsMcGill University
Fundersnot available
KeywordsExplosive materialMaterials scienceDetonationZirconiumSPHERESAluminiumCantileverComposite materialCombustionImpact craterFragmentation (computing)MetalReactive materialMechanicsMetallurgyAerospace engineeringPhysics

Abstract

fetched live from OpenAlex

The effect of the detonation of a spherical heterogeneous charge on the loading applied to a nearby structure has been investigated experimentally. The charge consists of a packed bed of solid reactive particles saturated with a liquid explosive. When the charge is detonated, the particles ignite while rapidly accelerating to high speeds, then impact either a rigid plate or a cantilever gauge consisting of a plate attached to a rod clamped at one end. The positive phase reflected pressure impulse at the rigid plate surface and the cantilever bend angle is measured at various distances from the charge. Comparison of the results for charges containing large (millimeter‐sized) zirconium particles with small (sub‐micron) aluminum particles suggests that the fragmentation of the large particles upon impact contributes to the loading. To investigate this possibility further, single zirconium spheres are accelerated with a tubular explosive. When the burning sphere impacts a rigid plate, fine zirconium fragments are produced in all cases. The impact fragmentation of burning particles is an efficient mechanism for increasing the overall rate of energy release from the particle combustion process.

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 score0.031
Threshold uncertainty score0.330

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 head0.011
GPT teacher head0.217
Teacher spread0.206 · 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

Citations9
Published2004
Admission routes1
Has abstractyes

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