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Record W1585905060 · doi:10.18419/opus-3799

Experimental investigations of injection, mixing, and reaction processes in supersonic flow applications

2009· article· en· W1585905060 on OpenAlexaboutno aff
Jaechul Chun

Bibliographic record

VenueOPUS Publication Server of the University of Stuttgart (University of Stuttgart) · 2009
Typearticle
Languageen
FieldEngineering
TopicComputational Fluid Dynamics and Aerodynamics
Canadian institutionsnot available
Fundersnot available
KeywordsMixing (physics)Supersonic speedChoked flowMechanicsFlow (mathematics)Materials sciencePhysics

Abstract

fetched live from OpenAlex

Two different mixing processes for supersonic flow applications were investigated. The first application was nano-particle synthesis using a supersonic wind tunnel reactor and the second application was supersonic combustion in a scramjet combustor. For the nano-particle synthesis, the mixing of injected precursor which is one of the key parameters determining qualities of the synthesized nano-particles was investigated using toluene tracer Planar Laser-Induced Fluorescence (PLIF) technique within a DFG funded research group in cooperation with Ms. Luong and Prof. Schulz of the Institute of Combustion and Gasdynamics (IVG) of Universität Duisburg- Essen. Thereby, the IVG provided the measurement equipment for application to the ITLR test channel. Several measurement campaigns were performed jointly to take the experimental data. This cooperative research work was very constructive and the experience of Dipl.-Chem. My Yen Luong and Prof. Dr. rer. nat. Christof Schulz with the PLIF technique was especially invaluable for these experiments. The diluted toluene was injected through a blunt-body injector which was located at two different positions in the supersonic wind tunnel where the main air stream's Mach numbers were 0.55 and 0.7, respectively. Since the injectant's mass was only 0.2% - 0.4% of the main air stream and the injector had the blunt-body geometry, the flow was a kind of wake. The PLIF images were taken far-downstream of the Laval nozzle throat of the supersonic reactor where no shocks were observed. Instantaneous PLIF images showed large-scale vortical structure of the wake. The time averaged PLIF images showed that the width of the wakes followed characteristics of incompressible wakes. The sizes of the wakes for M = 0.55 were larger than those for M = 0.7. However, the wakes for M = 0.7 showed highly timely homogeneous core region, whereas the wakes for M = 0.55 had relatively high fluctuating core region. Because relative Mach numbers were very low in the measurement regions, the compressibility effect was not relevant to the experimental data. For the supersonic combustion in a scramjet combustor, mixing and combustion performances of a slot and a lobed injector in a scramjet combustor model were experimentally investigated using planar laser Mie scattering (PLMS) technique and a high speed camera, respectively. The slot injector has a slot along the spanwise direction, whereas the lobed injector has four lobed structures enlarging the contact area between air and fuel thereby enhancing mixing performance. Both injectors have internally small Laval nozzles, through which the fuel was accelerated to supersonic speed. They were tested for several injection pressures and combustor inlet pressures using helium and air as injectants. The mixing layer of the slot injector increased linearly. Even though there were some variations of the growth rate of the mixing layer according to their injection conditions, the mixing regions were, however, confined in the core region of the combustor; the fuel from the slot injector could not diffuse well into the co-flow. On the other hand, the macroscopic streamwise vortex structures generated by the lobed injector stirred the mixing region very well and the injectant mixed with the co-flow in a short distance after injection. In the followed combustion tests, the lobed injector showed higher performance than the slot injector, but not increased such a high performance as in the mixing experiment. The photos using the high speed camera revealed that the ignition occurred far downstream from the injection and the flame travelled upstream. This mechanism diminished the enhanced mixing performance of the lobed injector in the combustion test.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0010.001
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 head0.006
GPT teacher head0.171
Teacher spread0.165 · 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 designBench or experimental
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

Citations2
Published2009
Admission routes1
Has abstractyes

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