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Record W133070264

The Effect of Burning NCG on Lime Kiln Flame Patterns

2005· other· en· W133070264 on OpenAlexfundno aff
ARAFAT ALOQAILY, Pierre E. Sullivan, Honghi Tran

Bibliographic record

VenueTSpace · 2005
Typeother
Languageen
FieldEngineering
TopicCombustion and flame dynamics
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaInternational Paper
KeywordsPhysicsHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The stability of the burner flame is critically important in lime kiln operation. It can be affected greatly if noncondensible gases (NCG) are burned in the kiln. A Flow Simulation Apparatus was used to study the mixing and interaction between a simulated main burner jet and a simulated NCG burner jet in a confined cylindrical duct. The results show that the angle of the NCG jet with respect to the duct axis is the dominant factor in determining the mixing and interaction between the two jets. The lateral expansion rate of both jets decreases with an increase in Reynolds number (Re) and in Craya-Curtet number (Ct) of the jets. The expansion of the jet is important, because it determines the shape of the flame (long or bushy), the temperature and heat transfer in the kiln, and whether the flame may impinge on the kiln walls. The results also show that the recirculation zones in the confined duct are longer with two jets than they are with a single jet. This implies that burning NCG tends to lower the temperature of the main burner.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.293
Threshold uncertainty score1.000

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)0.0010.000

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 head0.003
GPT teacher head0.240
Teacher spread0.237 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2005
Admission routes1
Has abstractyes

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