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Record W7005152392

Phenomenological Model of Laval Nozzle of wich Accounts for the Stage of Acceleration of Gas Turbine of a Gas

2010· other· en· W7005152392 on OpenAlexaboutno aff

Bibliographic record

VenueMecánica Computacional (Asociación Argentina de Mecánica Computacional) · 2010
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicSilicon Effects in Agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsNozzleAccelerationCombustionPhenomenological modelDiscretizationConvergence (economics)TurbineCombustion chamber
DOInot available

Abstract

fetched live from OpenAlex

This paper presents the development of a phenomenological model semi-physical of Laval nozzle, a device that accounts for the stage of acceleration of combustion gases in a gas turbine. This model is based on the balances of energy, momentum and continuity of the combustion gases flowing through the Laval nozzle and is carried out considering the equations governing the dynamics of the nozzle and reducing dimensionally, by discretization of a dimensional infinite system to finite dimensional in order to be workable from the perspective of the language of control theory. The operation point of which it develops such a model is similar to the conditions of operating a gas turbine General Electric 7FA in regard to pressure, temperature, speed, density and thermodynamic properties of combustion gases travel through Turbine. The phenomenological model allows constructing a control language model and simulation studies versus open-loop simulation of the Laval nozzle performed with CFD, that is, making the simulation of the dynamic model of the Laval nozzle at steady state and compared with the convergence of the simulation of the Laval nozzle held in FLUENT® to perform a stability analysis and propose alternatives for the system control.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.628
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.027
GPT teacher head0.252
Teacher spread0.226 · 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 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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueMecánica Computacional (Asociación Argentina de Mecánica Computacional)Same topicSilicon Effects in AgricultureFrench-language works237,207