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Record W7046102000

Characterization and Analysis of Supersonic Flow Through De Laval Nozzles at Varied Design Conditions

2024· article· en· W7046102000 on OpenAlexaboutno aff

Bibliographic record

VenueScholarly Commons (Embry–Riddle Aeronautical University) · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsNozzleSupersonic wind tunnelSupersonic speedWind tunnelShock (circulatory)SchlierenAerodynamicsJet (fluid)Shock waveMach number
DOInot available

Abstract

fetched live from OpenAlex

A combined numerical and experimental investigation of supersonic planar nozzles under different design conditions has been conducted. Supersonic planar nozzles are common geometries observed in supersonic wind tunnels and aircraft or rocket engines. For the important role they play in wind tunnel testing and aircraft propulsion, it is important to conduct a thorough numerical and experimental study to characterize their performance at different operating conditions. In this study, a de Laval nozzle was scanned to extract its contours and subsequently modeled to compare analytical and numerical performance expectations under design and off-design conditions. The nozzle was then installed in a supersonic blowdown wind tunnel to experimentally validate predicted effects of varying chamber pressure on nozzle performance, particularly within the overexpanded regime. Quantitative data in the form of wall pressure measurements and flow visualization via schlieren imaging were collected. The investigation uncovered distinctive characteristics of overexpanded flow in planar nozzles, including internal separation and a well-defined shock structure. Decreasing the operating nozzle pressure ratio led to increased separation shock strength and more significant effects of overexpansion on nozzle performance and thrust capability. The shock interactions with the separated shear layer were evident, and downstream propagation of wave phenomena in the jet flow were observed. The design condition was simulated numerically, and while supersonic flow was present throughout the nozzle, some shocks were present in the nozzle flow leading to nonuniformities in the flowfield. To ensure reliable attainment of uniform design conditions, new nozzles with differing area ratios were designed and computationally validated. Three-dimensional numerical analysis ensured alignment with design requirements, including uniform core flow, minimal crossflow, and suitable turbulent boundary layer development. Nozzles have been developed for Mach 2 and 3 flow with the intent of creating a suitable test environment and studying these nozzle flows under design conditions.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score0.984

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)0.0170.000

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 head0.025
GPT teacher head0.245
Teacher spread0.220 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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