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Record W2245772731 · doi:10.5539/mas.v10n1p82

Establishment of Shaped Charge Optimum Parameters for Small Scale Hydrodynamic Penetration

2015· article· en· W2245772731 on OpenAlexvenueno aff
Khairul Hasni Kamarudin, Ahmad Mujahid Ahmad Zaidi, Shohaimi Abdullah, Md Fuad Shah Koslan

Bibliographic record

VenueModern Applied Science · 2015
Typearticle
Languageen
FieldEngineering
TopicEnergetic Materials and Combustion
Canadian institutionsnot available
Fundersnot available
KeywordsExplosive materialShaped chargeCasingMaterials scienceExplosion weldingPenetration (warfare)Penetration testPenetration depthMechanicsWeldingComposite materialMechanical engineeringOpticsPhysicsMathematicsEngineeringArc welding

Abstract

fetched live from OpenAlex

An investigation is intended to establish suitable parameters for a simple shaped charge mechanism (SCM) assembly that can be utilized for small scale hydrodynamics penetration test. Some basic features of the SCM parameters were based on previous researchers’ findings. Three sets of tests were conducted to verify parameters such as cone liner angle and thickness, material of charge (explosive) casing and standoff distance (SoD). Single and welded stacks of mild steel plates and Aluminium blocks were used as targets. Two type of explosive were used, military grade plastic explosive (PE) or C4 and a commercial grade explosive, Emulex 700. A simple but effective compressing mechanism was developed to eliminate air pockets and maximised the explosive density. The SCM parameters were improved through series of tests and results have shown that hydrodynamic penetrations have taken place in every test conducted. Suitable small scale SCM parameters were successfully established which can be utilized for future study on hydrodynamics penetration.

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 score0.636
Threshold uncertainty score0.333

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 head0.023
GPT teacher head0.215
Teacher spread0.192 · 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

Citations7
Published2015
Admission routes1
Has abstractyes

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