MétaCan
Menu
Back to cohort
Record W2069505750 · doi:10.1021/ef900264h

Experimental Study of Effects of Axi-asymmetric Combustion Air Supply in Horizontally Oil-fired Burner and Furnace

2009· article· en· W2069505750 on OpenAlexfundno aff
Young Gun Go, Sangmin Choi, Won Yang

Bibliographic record

VenueEnergy & Fuels · 2009
Typearticle
Languageen
FieldEngineering
TopicCombustion and flame dynamics
Canadian institutionsnot available
FundersCanada Excellence Research Chairs, Government of Canada
KeywordsCombustorCombustionMechanicsThermocoupleBuoyancyFlow (mathematics)AirflowDegree (music)Materials scienceVolumetric flow rateIntensity (physics)ChemistryThermodynamicsOpticsAcousticsComposite materialPhysics

Abstract

fetched live from OpenAlex

Effects of axi-asymmetric combustion conditions were studied in a horizontally oil-fired and 3-staged swirl burner. Axi-asymmetric conditions were created by supplying combustion air through six different air inlets from the back panel of the burner. Experimental conditions were decided by varying the degree of axi-asymmetry and changing the location of the minimum flow rate value in unimodal and bimodal air distribution. Temperature profiles inside a furnace were mapped using R-type thermocouples and flame images were captured by a CCD camera, to investigate the intensity of visible flames, focusing on the effects of asymmetrically supplied combustion air. Experimental results show three distinct phenomena. The unimodal air distribution deformed the flame shape more axi-asymmetrically (inclined toward the minimum flow region) than the bimodal case. The flame shape was affected by buoyancy and by the location of the minimum flow rate in air distribution. Especially, when combustion air was discharged less in the ascending region of the swirl flow, the flame shape was more deformed toward where the air was supplied less. The critical values in the degree of axi-asymmetric combustion air supply were identified to form an inclined straight shape of the radial temperature profile rather than a parabolic one.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.615

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 head0.004
GPT teacher head0.201
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

Citations3
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueEnergy & FuelsSame topicCombustion and flame dynamicsFrench-language works237,207