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Record W1992848091 · doi:10.1615/atomizspr.v11.i4.60

SIMULATING DROPLET IMPACT ON A SUBSTRATE OF ARBITRARY SHAPE

2001· article· en· W1992848091 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

VenueAtomization and Sprays · 2001
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Heat Transfer
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials scienceSubstrate (aquarium)MechanicsPhysicsGeology

Abstract

fetched live from OpenAlex

We have developed a three-dimensional model of free surface flows that can accommodate the presence of arbitrary-shaped obstacles in the flow. The model is an extension of one developed earlier by Bussmann, Mostaghimi, and Chandra [1]. To validate the model we simulated the impact of a 2-mm-diameter water droplet landing with low velocity (~1 m/s) on tubes ranging in diameter from 0.5 to 6.35 mm. Computer-generated images of droplet deformation after impact agreed well with photographs. Droplets landing on the largest tube (6.35-mm diameter) clung to the solid surface following impact. On smaller tubes there was not enough surface area for the liquid to remain attached, and droplets fell off after impact, disintegrating into several smaller droplets as they fell. The number of droplets produced after breakup was sensitive to the location of the impact point on the tube surface.

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)0.000
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.287

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 head0.008
GPT teacher head0.225
Teacher spread0.217 · 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