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Record W2138350968 · doi:10.4271/2011-38-0045

Experimental Study of Snow Precipitation Over a Generic Deicing Fluid without Fluid Flow

2011· article· en· W2138350968 on OpenAlexaff
Guy Fortin, Ilham Enneji, Arlene Beisswenger, Jean Perron

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2011
Typearticle
Languageen
FieldEngineering
TopicIcing and De-icing Technologies
Canadian institutionsUniversité du Québec à Chicoutimi
FundersNational Center for Atmospheric Research
KeywordsSnowFluid dynamicsPrecipitationFlow (mathematics)Environmental sciencePetroleum engineeringGeologyMechanicsMeteorologyGeomorphologyPhysics

Abstract

fetched live from OpenAlex

<div class="section abstract"><div class="htmlview paragraph">Deicing and anti-icing fluids are used to remove and prevent ice formation on aircraft before takeoff. Holdover times (HOT) published by the FAA are used by pilots as guidelines indicating the amount of effective time of a fluid under certain freezing precipitation types. However, the times on these tables are based on endurance time tests involving a visual estimate of failure on a flat plate [<span class="xref">1</span>]: when 30% of the fluid is covered with white snow under snow precipitation, although the times have been correlated to aircraft wing tests [<span class="xref">2</span>] they do not address the mechanism of fluid failure. To measure and understand the fluid mechanisms conducting to failure, the Anti-icing Materials International Laboratory (AMIL) developed a simplified test with a generic deicing propylene glycol-based fluid. The test consisted of pouring 400 mL of the generic deicing fluid on a 5 dm by 3 dm level flat plate where the plate edges were rimmed with insolated walls to make a waterproof open box. The flat plate covered with deicing fluid was submitted to snow precipitation in the form of regular snow and simulated snow pellets. The snow precipitation intensities and temperatures tested were based on ARP5485. The standard test method for testing snow indoors includes using a heating pad to compensate for the lack of thermal equilibration which occurs in outside with wind and the larger air mass. It was the energy solicited by the fluid melting the snow from the heat pad that was used to develop a model for fluid failure. Three precipitation intensities and eight temperatures with the generic deicing fluid and commercial Type I and Type IV fluids were studied. At fluid failure, snow mass, and energy provided to melt the snow were independent of snow intensity and type of snow, however endurance time and supplied power were dependent on snow intensity but independent of snow type. Visual observations showed that only a fraction of the falling snow in contact with the fluid covering the aluminium plate melts, the unmelted snowflakes descend by gravity into the fluid and accumulate on the aluminium plate surface. The energy to melt the snow was provided by a heating system. The proposed model assumes that enough energy is available to melt all the snow that a deicing fluid is able to absorb under water form and that the water can diffuse rapidly into the deicing fluid due to multiple diffusion sites resulting in an uniform propylene glycol concentration and predicted well the endurance time and the snow mass at fluid failure for a generic deicing and Type I fluid with an error of 7%. A semi-empirical relation was used in the model to evaluate the melting fraction; this relation, based on a phase diagram, can be used to estimate the propylene glycol concentration, the power and the energy as a function of time at the fluid failure. However, the model could not predict the endurance time of Type IV anti-icing fluids.</div></div>

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.928
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.021
GPT teacher head0.249
Teacher spread0.228 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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