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Record W2027387523 · doi:10.2514/6.2007-7825

Three Dimensional Numerical Solution of Heat Transfer in a Honeycomb Cell

2007· article· en· W2027387523 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venue7th AIAA ATIO Conf, 2nd CEIAT Int'l Conf on Innov and Integr in Aero Sciences,17th LTA Systems Tech Conf; followed by 2nd TEOS Forum · 2007
Typearticle
Languageen
FieldEngineering
TopicFlow Measurement and Analysis
Canadian institutionsBombardier (Canada)
Fundersnot available
KeywordsHoneycombHeat transferMaterials scienceMechanicsComputer scienceComposite materialPhysics

Abstract

fetched live from OpenAlex

Bias acoustic liners have been investigated by a number of researchers and demonstrated to have acoustic benefits. However while research has concentrated on the acoustic aspects of the liner, little research has directly investigated its heat transfer properties. A three dimensional numerical investigation of the fluid flow and heat transfer properties of a single honeycomb cell was carried out in order to develop an understanding of the flow and heat transfer properties of the bias acoustic liner. Experimental measurements of fluid flow and heat transfer properties of an acoustic liner sample were also carried out in order to validate the numerical solution. The experimental results were found to give lower values of heat transfer coefficient at low flow rates when compared with the numerical solution. The numerical solution for pressure loss agreed with Kutscher’s findings. The experimental results agreed with the traditional expression for pressure loss across abrupt expansions.

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.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.012
GPT teacher head0.217
Teacher spread0.205 · 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