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Record W3138953255 · doi:10.1002/cjce.24112

Experimental and <scp>CFD</scp> study of sodium alginate droplets impacting onto immiscible deep liquid surface

2021· article· en· W3138953255 on OpenAlexvenueno aff
Chengmin Chen, Zhizhong Ding, Shashank Tiwari, Jianmei Wang, Jianchun Wang, Guangxia Liu, Yan Li, K. Nandakumar

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2021
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Heat Transfer
Canadian institutionsnot available
FundersShandong Academy of SciencesNatural Science Foundation of Shandong Province
KeywordsMechanicsMaterials scienceWeber numberToroidDrop (telecommunication)Kinetic energyDrop impactThermodynamicsComposite materialReynolds numberClassical mechanicsPhysicsPlasmaMechanical engineeringWetting

Abstract

fetched live from OpenAlex

Abstract In the present study, the impingement process of alginate droplet on an immiscible liquid is investigated using experimental and numerical approaches. The results reveal that the intensity of interaction between the two immiscible liquids leads to formation of different droplet shapes after impingement. The droplet yield stress, Ohnesorge number ( Oh ), and Weber number ( We ) were found to be the chief parameters which determine the droplet shape after impingement. Three discernible shapes of droplets could be identified from the present investigation: (i) spherical ball, (ii) spherical ball with a tail, and (iii) a toroidal shape. A detailed parameter regime map has been constructed which aids in identifying these three droplet shapes in well‐defined range of Oh and We . Besides, the numerical investigations carried out also helped in deciphering the temporal evolution of the pressure, velocity and kinetic energy fields associated with the drop impingement process.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.622

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 head0.006
GPT teacher head0.194
Teacher spread0.188 · 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 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
Published2021
Admission routes1
Has abstractyes

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