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Research on the Influence of Cavities in Charge on the Formation and Penetration Performance of Jets

2024· article· en· W4405848421 on OpenAlexaff
Xuepeng Zhang, Yakun Liu, Can Xu, Yizhen Wang, Jianping Yin

Bibliographic record

VenueJournal of Physics Conference Series · 2024
Typearticle
Languageen
FieldEngineering
TopicRocket and propulsion systems research
Canadian institutionsMD Precision (Canada)
Fundersnot available
KeywordsShaped chargePenetration (warfare)Materials scienceCharge (physics)MechanicsPhysicsChemistryEngineeringOperations researchParticle physics

Abstract

fetched live from OpenAlex

Abstract To investigate the effect of charge cavities on the formation and penetration of shaped charge warheads, we numerically simulate and calculate shaped charge warheads with different cavities using the finite element method. Combining theoretical analysis and numerical simulations, charge structure splitting was performed to obtain jet morphology and properties data for different cavity locations in both axial and radial dimensions. The mechanism of the effect of cavity position on detonation wave propagation, liner propellant, and jet formation processes in shaped charges is analyzed. It has been shown that charge cavities can change the propagation waveform of detonation waves. The effect of different cavity positions on the jet formation and penetration properties varies; Based on the detonation drive theory, a geometrical model was developed to investigate the effect of the charge cavity position on the jet velocity; The shaped charge warhead structure designed using this model can change the propagation path of the detonation wave, adjust the driving process of the shaped charge cover, and effectively increase the head velocity and penetration capacity of the jet. By studying the influence of the cavity on the driving and jet forming processes of the shaped charge cover, the results indicate that a model established by reasonably adjusting the charge cavity to improve the jet damage performance can provide a certain basis for further optimizing the design of the shaped charge structure.

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)0.001
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 score0.534
Threshold uncertainty score0.154

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.085
GPT teacher head0.321
Teacher spread0.235 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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