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Record W7131162429 · doi:10.1115/imece2025-165197

Production of Uniformly Sized Liquid Droplets Using a Vibrating Needle for TRISO Fuel Fabrication

2025· article· W7131162429 on OpenAlexaff
Ibrahim Gad-el-Hak, Salim El Bouzidi, Michael Burlock, Reeghan Osmond, Anil Prasad

Bibliographic record

VenueVolume 5: Dynamics, Vibration, and Control · 2025
Typearticle
Language
FieldEngineering
TopicElectrohydrodynamics and Fluid Dynamics
Canadian institutionsCanadian Nuclear Laboratories
Fundersnot available
KeywordsBreakupFabricationCoolantJet (fluid)VibrationViscosityNewtonian fluidLiquid fuelCombustion

Abstract

fetched live from OpenAlex

Abstract Several small modular nuclear reactors propose to use TRISO (TRistructural ISOtropic) fuel as part of their reactor design, due to their ability to withstand higher coolant temperatures. TRISO fuel particles require the fabrication of uranium oxycarbide kernels with a diameter of approximately 0.5 mm. One of the common production processes of the TRISO kernels involves generating droplets by using a vibrating needle to dispense a uranium nitrate solution into an ammonium hydroxide solution, leading to the formation of gelled microspheres. A cylindrical liquid jet is naturally unstable due primarily to the Plateau–Rayleigh instability. When an external mechanical vibration is applied to the jet flow, it disperses into a stream of uniformly sized droplets. The droplet size is determined by the frequency and amplitude of the mechanical vibration. The main aim of this study is to investigate the effect of applying transverse vibrations to a needle issuing a stream of liquid, to break up the stream and produce uniform-sized droplets. Resonating the needle tip can influence droplet formation by enhancing the instability of the liquid at the tip, promoting the formation of droplets. As the needle vibrates at resonant frequencies, it may create oscillations in the fluid that lead to the detachment of small, uniform droplets. A prototype vibrating needle test rig was designed and constructed to study the breakup behavior of water, a Newtonian fluid, and zirconia slurry, a non-Newtonian fluid, discharged from a 19-gauge needle under externally controlled mechanical vibrations. The jet breakup characteristics, including breakup length, droplet diameter, and shape, were examined as functions of vibration frequency (80 Hz - 160 Hz), amplitude, and jet flow velocity (0.5 m/s - 1.0 m/s). The results for water flow showed that vibrating the needle caused the jet stream to bifurcate into two parallel streams, each consisting of uniformly sized droplets. Increasing the jet velocity resulted in a reduction in droplet diameter. Furthermore, the vibration amplitude appeared to influence the bifurcation behavior, leading to the formation of either two or four jet streams.

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 score0.002

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 head0.004
GPT teacher head0.206
Teacher spread0.202 · 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
Published2025
Admission routes1
Has abstractyes

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