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Thrust Vectoring Simulation Study of Rotating Detonation Engine

2025· article· W7135167020 on OpenAlexaff
Wenjie He, Zhenjuan Xia, Hu Ma

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicCombustion and Detonation Processes
Canadian institutionsMinistry of Education and Child Care
FundersFundamental Research Funds for the Central UniversitiesNational Natural Science Foundation of China
KeywordsDetonationThrustThrust vectoringThrust bearing

Abstract

fetched live from OpenAlex

This study focuses on the thrust vector control principle of rotary detonation engine (RDE), aiming to explore the characteristics of the flow field and its effect on thrust vector control under non-uniform injection pressure conditions. In this study, the effect of thrust vector control of a rotary detonation engine (RDE) under different injection pressure ratios and wave head numbers is analyzed in detail through two-dimensional numerical simulations. It is found that in the single-wave mode, the peak thrust generated by the burst wave in the high-pressure region is about 15% higher than that in the low-pressure region, while the combined moment deflection angle can be up to 17.28° in the simulation time. In the two-wave mode, the sustained thrust in the high-pressure region is 10% higher than that in the low-pressure region, while the combined-moment deflection angle can be up to 23.24° during the simulation time. The combined moment deflection angle of the single-wave mode is more sensitive to the change of injection pressure ratio, which increases by 3.98° for the single-wave mode and 1.77° for the dual-wave mode, with an increment of 44.5% of the single-wave mode for a difference of 0.3 in both injection pressure ratios.

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 categoriesMeta-epidemiology (narrow)
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 score0.336
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.295
Teacher spread0.279 · 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.

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
Published2025
Admission routes1
Has abstractyes

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