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Record W4400235775 · doi:10.11159/ffhmt24.028

Terminal Settling Velocity of Cylindrical Rods with Various Geometries Applicable to Atmospheric Microplastics

2024· article· en· W4400235775 on OpenAlexfundvenueno aff
Amirhossein Hamidi, Daniel Daramsing, Mark Gordon, Liisa M. Jantunen, Ronald Hanson

Bibliographic record

VenueProceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer · 2024
Typearticle
Languageen
FieldEngineering
TopicMaterial Properties and Processing
Canadian institutionsnot available
FundersCrown-Indigenous Relations and Northern Affairs CanadaEnvironment and Climate Change CanadaGovernment of Canada
KeywordsMicroplasticsSettlingRodTerminal velocityMaterials scienceTerminal (telecommunication)MechanicsEnvironmental sciencePhysicsEngineeringGeologyTelecommunicationsOceanographyEnvironmental engineering

Abstract

fetched live from OpenAlex

In this research, a set of straight, curved, V-shaped, and U-shaped cylindrical rods are dropped in a chamber filled with a quiescent 90% glycerin mixture to approximate the settling of microplastic fibres in the atmosphere.The 3D fall trajectory and terminal velocity of the rods are determined using images captured from two cameras facing the two perpendicular sides of the chamber.The results show that the terminal velocities of the curved and V-shaped rods are both greater than that of the straight rods with the same diameter and aspect ratio, with a maximum difference of 17% and 57% relative to the straight rods for the curved and V-shaped rods respectively within the ranges studied in this research.U-shaped rods always exhibit a greater terminal velocity than straight rods with the same dimensions, with a maximum difference of 39% calculated in this research.As the aspect ratio of a U-shaped rod increases, the terminal velocity initially increases, reaches a peak value, and then decreases, reflecting the interplay between the length of the rod arms and the inclination angle.

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 score0.004
Threshold uncertainty score0.007

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)0.0000.000

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 head0.012
GPT teacher head0.209
Teacher spread0.197 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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