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Record W4400235777 · doi:10.11159/ffhmt24.045

Development of an Experimental Setup for the Practical Assessment of Partially Premixed Acetylene/Air Flame Heating Processes

2024· article· en· W4400235777 on OpenAlexvenueno aff
Christian Herwerth, Giovanni Luca Turi da Fonte Dias, Jacqueline Ungar, Vaibhav Kumbhar, Sebastian Kumbhar, Herbert Pfeifer

Bibliographic record

VenueProceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer · 2024
Typearticle
Languageen
FieldEngineering
TopicCombustion and flame dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsAcetyleneMaterials scienceProcess engineeringPremixed flameCombustionMechanical engineeringEnvironmental scienceNuclear engineeringComputer scienceAerospace engineeringEngineeringChemistryPhysical chemistryOrganic chemistryCombustor

Abstract

fetched live from OpenAlex

Two experimental setups for the assessment of acetylene/compressed air flame impingement systems are developed.The first setup determines the heat transfer efficiency between a single jet flame and a target (calorimeter), while the second setup facilitates the scale-up to industrial sized torches and provides additional information about the temperature field in the target (steel plate).Qualifying experiments include studies of the heat transfer efficiency as functions of the Reynolds number and the torch-to-target distance.The observed effects are in good agreement with the available literature.In the future, the setups will be used to further study heat transfer enhancement strategies and the impact of process gas variation on the flame impingement system performance.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.032
GPT teacher head0.301
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), 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
Published2024
Admission routes1
Has abstractyes

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