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Record W2019745826 · doi:10.1021/ie0109556

Natural Convective Mass-Transfer Behavior of Horizontal and Vertical Perforated Surfaces

2002· article· en· W2019745826 on OpenAlexaff
M. M. Zaki, Inderjit Nirdosh, Gomma Sedahmed

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2002
Typearticle
Languageen
FieldEngineering
TopicNanofluid Flow and Heat Transfer
Canadian institutionsLakehead University
Fundersnot available
KeywordsMass transferMaterials scienceConvectionCopperHorizontal and verticalMechanicsGeometryComposite materialMetallurgyPhysicsMathematics

Abstract

fetched live from OpenAlex

Rates of free convective mass transfer at horizontal and vertical perforated plates containing circular holes were measured by determining the limiting current of the cathodic deposition of copper from acidified copper sulfate solutions. Variables studied were the vertical plate height or horizontal disk diameter, the hole diameter, and the physical properties of solution. The data at the vertical perforated plate were correlated by the equation Sh = 0.1( Sc × Gr ) 0.33, while the data at the horizontal perforated plate were correlated by the equation Sh = 0.062( Sc × Gr ) 0.349 . A comparison of the rate of mass transfer at perforated surfaces with that at unperforated surfaces shows that the rate of mass transfer at vertical perforated surfaces is almost equal to that at unperforated vertical surfaces, while for horizontal perforated surfaces the rate of mass transfer at horizontal perforated surfaces is lower than that at unperforated surfaces. Industrial implication of the present results for the electronic industry where perforated metallic casings are used to house electronic equipments is highlighted.

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)0.000
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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.058
GPT teacher head0.268
Teacher spread0.210 · 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
Published2002
Admission routes1
Has abstractyes

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