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Performance Study of a Gas Cannon with a Laval Nozzle Based on CFD Analysis

2023· article· en· W4399995805 on OpenAlexaboutno aff
Yang He, Yunzhi Liu, Songjing Li, Jinghui Peng

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRocket and propulsion systems research
Canadian institutionsnot available
Fundersnot available
KeywordsNozzleComputational fluid dynamicsComputer scienceMechanical engineeringAerospace engineeringEngineering

Abstract

fetched live from OpenAlex

Based on the ideal gas-cannon theory (IGT), analysis and study of the motion characteristics of the one-stage gas cannon projectile when subjected to high-pressure gas impact has been performed. The computational fluid dynamics (CFD) software STAR-CCM+ is used to study the relevance between projectile motion characteristics and initial chamber pressure under the premise of mesh convergence verification. By comparing with the theoretical calculation results, the simulation results are within 85% to 90% of the IGT theoretical calculation results, therefore, the combined IGT-CFD method is considered feasible. The results show that the dependence of the projectile exit kinetic energy on the initial pressure decreases with increasing pressure. In addition, compared with the conventional equal-section cylindrical tube, the kinetic energy of projectile discharge can be increased by adding a Laval nozzle design to the high-pressure chamber and gas cannon barrel section. Therefore, the use of a Laval nozzle structure can increase the utilization of high-pressure gas, which is more meaningful in engineering applications.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score0.216

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.021
GPT teacher head0.262
Teacher spread0.241 · 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 designSimulation or modeling
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
Published2023
Admission routes1
Has abstractyes

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