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Record W4283593037 · doi:10.11159/ffhmt22.185

Comparison of Experimental Heat Transfer Coefficient with Qualitative Description of Classical Heat Transfer Coefficient at Low Heat Flux Conditions

2022· article· en· W4283593037 on OpenAlexvenueno aff
Ernest Gyan Bediako, Petra Dančová, Tomáš Vít

Bibliographic record

VenueProceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer · 2022
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsnot available
FundersTechnická Univerzita v Liberci
KeywordsHeat transfer coefficientThermodynamicsHeat transferHeat fluxCritical heat fluxNucleate boilingMechanicsMaterials scienceFlux (metallurgy)Physics

Abstract

fetched live from OpenAlex

Due to complexities involved in experimental determination of heat transfer coefficient, diverse qualitative flow descriptions and maps have been proposed as the basis for theories and correlations. Interestingly, there have been several disagreements with the different qualitative descriptions and maps on their actual representation of heat transfer coefficient for certain regions of flow boiling processes. This study therefore seeks to experimentally investigate and compare the characteristics of heat transfer coefficient at low heat flux conditions with qualitative descriptions of heat transfer coefficient by different authors. In this study, R134a was the refrigerant used, heat fluxes from 4.6-8.5 kW/m2 and mass flux of 200-300 kg/m 2 s. The experimental heat transfer coefficient results were compared with Wojtan et al flow patterns map. In covering heat transfer coefficient over a wide range of vapor qualities, it was observed that, the qualitative descriptions proposed by different authors do not entirely validate the actual representation of heat transfer process within the experimental conditions studied. At vapor quality around zero (0), heat transfer coefficient rises to a peak and decreases to a local minimum before increasing as vapor quality increases and the flow pattern predicted for this region is slug flow. As vapor quality increased, the flow patterns observed were intermittent, annular, dryout and mist flow.

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 categoriesMeta-epidemiology (narrow)
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 score0.177
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.037
GPT teacher head0.284
Teacher spread0.248 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the ... International Conference on Fluid Flow, Heat and Mass TransferSame topicHeat Transfer and OptimizationFrench-language works237,207