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Record W7038622021

Immersed boundary method and centered scheme for the study of aero-acoustic field in SRMs

2018· article· en· W7038622021 on OpenAlexaboutno aff

Bibliographic record

VenueIRIS Research product catalog (Sapienza University of Rome) · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSpider Taxonomy and Behavior Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPropellantImmersed boundary methodSolid-fuel rocketBoundary (topology)Combustion chamberThrustBoundary value problemCoupling (piping)Flow (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

A monolithic aft-finocyl Solid Rocket Motor is characterized by a propellant grain with a cylindrical core and a final star-shaped region located close to the thrust nozzle. This peculiar geometry of the pro- pellant grain can induce significant effects on the combustion chamber pressure field that can exhibit an unsteady behavior for some typical time windows of the operative life of the motor. At the present state of the art, the coupling of hydrodynamic instabilities and chamber acoustics is supposed to be the main responsible of pressure oscillations onset. The paper aims to investigate the possibility to study the aeroa- coustic problem in aft-finocyl SRMs by means of 3D unsteady CFD simulations performed by using a new 2 nd hybrid self-adjusting centered scheme. An immersed boundary method is employed for the boundary treatment. The new numerical method, along with the immersed boundary technique, is validated by sim- ulating a Taylor-Culick flow and a Laval nozzle. Then the numerical method is applied to a simplified aft-finocyl solid rocket motor showing the capability of the code to characterize pressure oscillations at limit cycle 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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score0.336

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.075
GPT teacher head0.363
Teacher spread0.288 · 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 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueIRIS Research product catalog (Sapienza University of Rome)Same topicSpider Taxonomy and Behavior StudiesFrench-language works237,207