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Record W1015862076

A Study of the Flow Field and Combustion of Natural Gas-Air inside a Gas Turbine Combustor

2013· article· en· W1015862076 on OpenAlexvenueno aff
Akram Zeid, Ahmed Farag

Bibliographic record

VenueMechanical Engineering Research · 2013
Typearticle
Languageen
FieldEngineering
TopicCombustion and flame dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsCombustorCombustionNatural gasCombustion chamberMechanicsAirflowMaterials scienceGas turbinesComputational fluid dynamicsFluentMass flowEnvironmental scienceMeteorologyChemistryThermodynamicsWaste managementEngineeringPhysicsMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

This paper presented a study of the natural gas combustion in a swirl gas turbine combustor. The effect of the primary air swirl number, primary air/fuel mass ratio and the secondary/primary air mass ratios on the flow field and combustion characteristics of natural gas in air is investigated. For this purpose, a test rig was constructed including a vertical test combustor provided with an air swirler mounted at its upstream. Primary air, secondary air, and fuel lines are also included. Four different air swirlers having the same blockage ratio of 0.72 are used for the present investigation. The swirlers have the same hub (inner) diameter of 72 mm and the same outer diameter of 100 mm. The swirlers have different vane angles of 15 o , 30 o , 45 o , and 60 o to generate swirl numbers of different strengths of about 0.23, 0.5, 0.85 and 1.5, respectively. A three dimensional model was used to simulate the non reacting and reacting flows by using the computational fluid dynamics package Fluent 6.3. Comparing the measured test data with the numerical computations, a reasonable agreement is found. The results show that, increasing the primary air/fuel ratio and the secondary/primary air mass ratio leads to decreasing the average flame temperature and consequently the flame size. Increasing the secondary/primary air mass ratio leads to a decrease in the axial CO and CO 2 concentrations and an increase in O 2 concentration at the combustor exit.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score0.410

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 integrity0.0000.001
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 head0.018
GPT teacher head0.257
Teacher spread0.238 · 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 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

Citations0
Published2013
Admission routes1
Has abstractyes

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