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Record W4367681349 · doi:10.1063/5.0144651

Flow field characteristics and particle path tracking of a hollow rotating detonation engine with a Laval nozzle

2023· article· en· W4367681349 on OpenAlexaboutno aff
Guangyao Rong, Miao Cheng, Zhaohua Sheng, Yunzhen Zhang, Xiangyang Liu, Jianping Wang

Bibliographic record

VenuePhysics of Fluids · 2023
Typearticle
Languageen
FieldEngineering
TopicCombustion and Detonation Processes
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsNozzlePhysicsMechanicsDetonationCombustorDischarge coefficientShock waveCombustionThermodynamicsChemistry

Abstract

fetched live from OpenAlex

A statistical particle path tracking method is applied to a hollow rotating detonation engine (RDE) with a Laval nozzle, and the flow field characteristics are investigated. The in-house solver BYRFoam based on OpenFOAM is used, and a large-area outflow field at the tail of the combustor and an array of injection holes are implemented. The influence mechanism of the tail nozzle on the internal and external flow fields of the hollow RDE is revealed. The results confirm that the tail nozzle helps suppress the rotating shock wave of the outflow field, which can make the exhaust plume structure more symmetrical. The influencing factors of the flow field of RDE with nozzle are studied. The results show that the farther the equivalence ratio deviates from 1, the closer the normal shock wave is from the nozzle outlet. The paths of representative flow particles are tracked, and the paths and physical properties of flow particles from different injection areas are obtained and compared. The results demonstrate that the overall movement trend of particles along the circumferential direction is opposite to that of the detonation wave, and some particles entering the combustor from the inner hole enter the virtual inner cylinder. The particle paths of hollow RDE without nozzle and RDE with radial injection method are studied. The results show that the particle circumferential deflection angle is smaller for RDE without nozzle and larger for RDE with radial injection method compared to RDE with nozzle and axial injection. A statistical tracking method for a large number of particles is proposed to obtain the flow characteristics of the gas in the combustor. The results confirm that the average circumferential deflection angle and the average residence time and its dispersion degree of the inner hole gas are larger than that of the outer hole gas. Flow particles with smaller initial radial position coordinates produce more curved particle traces. A thermodynamic statistical method for a large number of particles and the concept of a maximum work–heat ratio are used to analyze the macroscopic thermodynamic cycle characteristics of the gas. The results reveal that the maximum net mechanical work and the maximum work–heat ratio of the outer hole particles are larger than those of the inner hole particles. The gas entering the combustor from the outer hole has a greater proportion of chemical energy converted into useful work and a better expansion effect.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.713
Threshold uncertainty score0.259

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 head0.012
GPT teacher head0.224
Teacher spread0.211 · 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

Citations11
Published2023
Admission routes1
Has abstractyes

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