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Record W3105557933 · doi:10.11159/ffhmt20.178

Modeling Combustion and Heat Transfer in a Single-Element GCH4/GOX Rocket Combustor

2020· article· en· W3105557933 on OpenAlexvenueno aff
Christof M. Roth, Nikolaos Perakis, Oskar Haidn

Bibliographic record

VenueProceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer · 2020
Typearticle
Languageen
FieldEngineering
TopicRocket and propulsion systems research
Canadian institutionsnot available
Fundersnot available
KeywordsCombustorCombustionRocket (weapon)Heat transferAerospace engineeringFinite element methodMaterials scienceMechanical engineeringEngineeringMechanicsStructural engineeringPhysicsChemistry

Abstract

fetched live from OpenAlex

The present paper focuses on the numerical modeling of the combustion and heat transfer processes occurring in a GCH4/GOX rocket combustor, which was tested experimentally at the Technical University of Munich. A CFD model, using a RANS formulation to resolve the turbulent flow in the combustor, is set up and a grid independence study is performed. Three different combustion models are applied and the results are compared among each other, as well as to the experimental data. The applied models are an equilibrium chemistry model, a non-adiabatic flamelet model, and laminar finite rate chemistry. The models vary in fidelity as well as computational expense. Their ability to resolve the underlying physical processes of the reactive flow in the combustion chamber is investigated and discussed.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.733
Threshold uncertainty score0.701

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 head0.051
GPT teacher head0.248
Teacher spread0.197 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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