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Record W2614586427 · doi:10.1063/1.5044891

Detonation velocity/diameter relation in gelled explosive with inert inclusions

2018· article· en· W2614586427 on OpenAlexaff
Andrew Higgins, Jason Loiseau, XiaoCheng Mi

Bibliographic record

VenueAIP conference proceedings · 2018
Typearticle
Languageen
FieldEngineering
TopicEnergetic Materials and Combustion
Canadian institutionsMcGill University
Fundersnot available
KeywordsExplosive materialGlass microsphereMaterials scienceDetonationInertPelletsDetonation velocityComposite materialChemical engineeringMicrosphereChemistry

Abstract

fetched live from OpenAlex

The detonation velocity is measured in a gelled explosive that has been sensitize via the addition of glass microballoons (GMBs) and additionally diluted via large-scale inert inclusions. The explosive is nitromethane that has been gelled via the addition of poly(methyl methacrylate) (PMMA) and then sensitized via hot-spot inducing glass microballoons (GMBs, 3M K-1). Inert inclusions consisting of pellets of polyether block amide (PEBA, 2–3 mm in size) are then added to the explosive to make a heterogeneous explosive with heterogeneities that are at a scale disparate from those of the microballoons. The PEBA is density matched to the NM/PMMA/GMB mixture such that the large pellets remain in suspension. This system has the potential to be a synthetic explosive that can be tuned to have the properties of morphologically complex commercial blasting explosives. The velocity-diameter and velocity-thickness relation is measured using weakly confined (polyvinyl chloride) cylindrical and slab charges, respectively. The results are also used to further explore the phenomenon of anomalous scaling between axisymmetric and two-dimensional geometries.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score0.422

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 head0.014
GPT teacher head0.209
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

Citations11
Published2018
Admission routes1
Has abstractyes

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