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Record W2048200980 · doi:10.2514/1.43599

Numerical Study of Supersonic Combustion Processes with Central Strut Injection

2010· article· en· W2048200980 on OpenAlexaboutno aff
Marius C. Banica, Tobias Scheuermann, Jaechul Chun, Bernhard Weigand, Jens von Wolfersdorf

Bibliographic record

VenueJournal of Propulsion and Power · 2010
Typearticle
Languageen
FieldEngineering
TopicComputational Fluid Dynamics and Aerodynamics
Canadian institutionsnot available
FundersDeutsche Forschungsgemeinschaft
KeywordsSupersonic speedCombustionMaterials scienceAerospace engineeringScramjetMechanicsEngineeringCombustorPhysicsChemistry

Abstract

fetched live from OpenAlex

The combustion chamber is shown in Fig. 1. It has a rectangular cross section with width w 40 mm and constant isolator height h 35:4 mm. Downstream distance, x, is measured from the Laval nozzle throat where x 0. Air enters the chamber from the left at a Mach number of M 2:1 at isolator entry. The combustor and diverging sections open at angles 1 1 and 2 2 , respectively. The outflow static pressure is p1 0:96 bar. The facility operates continuously at stagnation conditions T0;air 1400 K and p0;air 4 bar. For brevity, in the following, wall pressures in the symmetry plane are only shown for the upper wall. Our injector is shown in Fig. 1b. Chun et al. [1] provide further details about the facility and Gerlinger et al. [2,3] provide further details on the injector. Because of exploitation of symmetry, only half the channel width is modeled. H2 is injected through the horizontal slots (see Fig. 1b). At design conditions, the injection Mach number is MH2 2:6. However, in practice, this is probably not achieved, due to geometric deformation. As a conservative estimate we chose MH2 1:0. The validity of this choice is checked in Sec. V.E. Four combustion modes, i.e., blowoff, weak combustion, strong combustion, and thermal choking were observed. Because of flow overexpansion, all modes feature a shock train in proximity of the channel outflow. Another shock train develops in the isolator, due to injector displacement effects. In flight, strong combustion is desired. Here, the injector acts as the flame holder and heat release is high. For weak combustion the fuel–air mixture is ignited in the outflow shock train. The flame is detached from the injector and heat release is significantly lower. If, in these conditions, the exit pressure is lowered sufficiently, the outflow shock train disappears, and combustion ceases (blowoff). For excessive fuel injection, the flow becomes thermally choked. The combustion mode is determined by the geometry, stagnation conditions, ambient pressure, and the global equivalence ratio (see also Scheuermann et al. [4]).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.019
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.004
GPT teacher head0.203
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), 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

Citations39
Published2010
Admission routes1
Has abstractyes

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