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Record W17769409 · doi:10.1126/science.27.695.641

Freezing of water in an open channel flow under supercooled ambient conditions - preliminary results

2004· article· en· W17769409 on OpenAlexaboutno aff
Anatolij R. Karev, M. Farzaneh, László E. Kollar, Sandy Vaslon

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIcing and De-icing Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsIcingSupercoolingEvaporationMaterials scienceWater flowThermal conductionMechanicsWind tunnelWater vaporMeteorologyGeologyComposite materialGeotechnical engineering

Abstract

fetched live from OpenAlex

The thermal structure of an experimentally modeled ice accretion with a water film in an icing wind tunnel is investigated here at both inner and outer interfaces using nondestructive remote sensing techniques and traditional thermometry. The water film developing into rivulets was produced by spraying of an aerosol flow from a single water-dispersing nozzle cloud onto the iced bottom of a thermally insulated channel. The water film was then driven by a concurrent air flow at negative temperatures. The shear-driven water film thus created was thereby forced to freeze from below due to convection and evaporation from its surface. Heat conduction lengthwise along the bottom of the channel and perpendicular to it was controlled by measuring the outer surface of the bottom of the channel at several sites. The surface temperature of the flowing water film developing into rivulets, as measured by infrared camera, was found to be negative throughout all the experiments. INTRODUCTION A number of atmospheric icing models incorporate, in different ways, the concept of a thin water film which appears and starts flowing when there is an excess of incoming supercooled water onto an icing surface. The precise dynamics of this film, however, and its thermodynamic properties, are still not known clearly. From the time of the first introduction of the concept of a water film on the surface of growing atmospheric ice (Schumann, 1938) and the subsequent introduction of the freezing fraction concept (Messinger, 1953) up to and including late eighties, it was thought that the temperature of this water film should be equal to the equilibrium temperature between the water and ice, or water fusion temperature Tm=273.15 K. Thus, all atmospheric icing models originating from forties onward were based entirely on the heat balance calculation of an icing surface, where the temperature of water fusion was taken as the reference point, distinguishing the solid from the liquid states of water. A series of experiments with artificial hailstones grown in laboratory simulations of natural conditions (List et al., 1 NSERC/Hydro-Quebec/UQAC Industrial Chair on Atmospheric Icing of Power Network Equipment (CIGELE) and Canada Research Chair on Atmospheric Icing Engineering of Power Networks (INGIVRE), Universite du Quebec a Chicoutimi, Departement des Sciences Appliquees, 555 blvd de l’Universite, Chicoutimi, Quebec, Canada G7H 2B1

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.931
Threshold uncertainty score0.332

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)0.0000.000

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 head0.027
GPT teacher head0.256
Teacher spread0.229 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2004
Admission routes1
Has abstractyes

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