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Record W4402454951 · doi:10.11159/htff24.199

Observation of Two-Dimensional Bubble Motions near Various Boundaries

2024· article· en· W4402454951 on OpenAlexvenueno aff
Ryuichi Inoue, Daiki Iwaya, Akihito Kiyama, Kang Donghyuk, K. Sato

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2024
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Mixing
Canadian institutionsnot available
Fundersnot available
KeywordsBubbleComputer sciencePhysicsMechanics

Abstract

fetched live from OpenAlex

In recent years, the environment surrounding cavitation bubbles has significantly changed.Because cavitation causes material damage and abnormal vibrations in turbomachinery, they are regarded as challenging, and research has focused on suppressing them.However, research on flow generation that actively utilizes the kinetic characteristics of bubbles, such as sonoporation using jet formation in the microregion of cavitation bubbles [1] and the generation of synthetic jets by the nonlinear volume fluctuations of bubbles [2], has recently attracted attention.The motion of a cavitation bubble is generally expressed by the upwelling and suction (without momentum) of a potential flow; therefore, it is necessary to restrict the motion of the bubble to generate a directional flow with momentum using bubbles.Therefore, the behavior of bubbles under various boundary conditions in addition to rigid plates and free surfaces should be clarified.Tomita et al. conducted experimental and theoretical studies on curved rigid boundaries and elucidated the effect of rigid-body curvature on bubble motion [3].Li et al. performed numerical simulations on the collapse behavior of a single bubble and two bubbles in an inclined V-shaped corner and established the relationship between the angle of the V-shaped corner, the distance between the corner and cavitation bubbles, and the distance between bubbles by obtaining the temperature, density, velocity, and pressure fields [4].Yin et al. generated laser-induced single bubbles at the tip of a conical rigid body and determined the relative distance between the bubbles from the tip of the conical rigid body; they also investigated the effect of the cone angle on the pressure peak and other parameters through experimental and numerical studies [5].However, these studies were conducted on three-dimensional (3D, axisymmetric) bubbles but are unsuitable for generating two-dimensional (2D) flows.In this study, a roughly 2D bubble was generated in a liquid between flat plates by electrical discharge, and its behavior was filmed at high speed.The motion of 2D bubbles under rigid wall conditions with various geometries was clarified, focusing mainly on the relationship between the wall geometry and time characteristics, and the difference between 2D and 3D bubbles was analyzed.The results show that the dimensionless collapse period = 90 increases as the dimensionless distance * (the ratio of the distance between the wall and the bubble to the maximum bubble equivalent radius) decreases.The value of the dimensionless collapse period * for = 90 exceeds that of = 180 when the rigid body boundary angle = 180 (flat wall) and = 90 (L-shaped wall) are compared for the dimensionless distance * .The value of the dimensionless collapse period * of = 90 exceeds that of = 180.

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 score0.288
Threshold uncertainty score0.618

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 head0.197
Teacher spread0.191 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

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