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Record W4288693927 · doi:10.1063/5.0102964

Pancake-shaped freezing of a droplet impacting a supercooled surface: Evidence for a threshold temperature

2022· article· en· W4288693927 on OpenAlexaff
Zhaoyuan Meng, Yubing Zhu, Jiguang Hao, Gengkai Hu, J. M. Floryan

Bibliographic record

VenuePhysics of Fluids · 2022
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Heat Transfer
Canadian institutionsWestern University
FundersNational Key Research and Development Program of ChinaHigher Education Discipline Innovation ProjectNational Natural Science Foundation of China
KeywordsSupercoolingLamella (surface anatomy)ThermodynamicsPhysicsMechanicsMaterials scienceComposite material

Abstract

fetched live from OpenAlex

The residual diameter of a droplet at a temperature of 25 °C impacting a cold surface was investigated using high-speed photography. The temperature of the impacted surface was varied from −50 to 25 °C. A threshold temperature was found below which the impacting droplet freezes near the maximum spreading diameter, resulting in pancake-shaped freezing. However, above the threshold temperature, the lamella retracts before freezing. The maximum spreading diameter remains nearly unchanged for surfaces with various temperatures for the same Weber number. Variations of the threshold temperature required for pancake-shaped freezing as a function of the Weber number were determined. The threshold temperature decreases as the Weber number increases. A model for predicting the threshold temperature is proposed and compared with experimental observations. It is shown that it is the freezing time of the lamella tip that determines the threshold temperature.

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)0.000
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
Metaresearch0.0000.000
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)0.0010.000

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 head0.034
GPT teacher head0.266
Teacher spread0.232 · 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

Citations12
Published2022
Admission routes1
Has abstractyes

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