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Record W2388655592

Simulation Study on Atomization Process of Pulsed Anti-riots Water Cannon with Laval Nozzle

2013· article· en· W2388655592 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFire Control and Command Control · 2013
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Launch and Propulsion Technology
Canadian institutionsnot available
Fundersnot available
KeywordsNozzleEmulationEngineeringMechanical engineeringJet (fluid)Process (computing)Water jetMechanicsSimulationMarine engineeringAerospace engineeringPhysicsComputer science
DOInot available

Abstract

fetched live from OpenAlex

In this paper,we study the anti-riots water cannon optimal control problem.The high-pressure gas is as the driving force of anti-riots water cannon.Jet nozzle is the emission element of anti-riots water cannon.The laval nozzle are designed according to the jet structure of the police pulsed anti-riots water cannon.Coupling the VOF with LES model,we build the mathematic model and physical model of the nozzle,and use the OpenFOAM software to emulation the area near the nozzle.Through the research it was found that the laval nozzle can achieve good result on atomization effect and cannon-shot.At the same time,through the simulation and analysis of the area near laval nozzle from the sides of atomization form and angle,distribution of velocity.We established that field angle between 15° and 18° is more reasonable,as providing a reference for farther optimize of pulsed water cannon.

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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score0.459

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 head0.003
GPT teacher head0.181
Teacher spread0.179 · 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