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Record W2910593666 · doi:10.1002/cjce.23460

Experimental investigation of coalescence behaviour of bubble pairs forming at capillary orifices submerged in bacterial suspension

2019· article· en· W2910593666 on OpenAlexvenueno aff
Chenglong Guo, Dan‐Ru Duan, Qin‐Yuan Tang, Hong‐Shan Pei, Feiqiang Guo

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2019
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Mixing
Canadian institutionsnot available
FundersFundamental Research Funds for the Central Universities
KeywordsBubbleCapillary actionAerationMaterials scienceCoalescence (physics)Body orificeCapillary numberMechanicsSuspension (topology)BioreactorVolumetric flow rateChemistryComposite materialPhysicsMechanical engineeringEngineeringMathematics

Abstract

fetched live from OpenAlex

Coalescence behaviour of bubble pairs markedly affected methane bioconversion because methane is usually pumped into a bacterial suspension through an aeration system, forming bubbles at capillary orifices. In the present work, a bioreactor was developed to observe the coalescence behaviour of bubble pairs forming at capillary orifices submerged in bacterial suspension via a visualization experiment. The results indicated that in a bacterial suspension the inrush bubble number decreased and the inrush time shortened, but the contact time was prolonged and the maximum contact area increased compared to those in pure water. Moreover, with an increase in the gas flow rate, the maximum contact area decreased and the contact time shortened, while more trailing bubbles merged into the leading bubble. Furthermore, the increase in the centre distance was conducive to increasing the maximum contact area and prolonging the contact time but the bubble inrush was observed at a centre distance of 0.94 mm. In addition, the larger centre distance enhanced the oscillation amplitude and frequency of the aspect ratio, which had not significantly changed at different gas flow rates. The results of this study will contribute to the optimal design of an aeration system that enhances the performance of the bioreactor.

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 score0.004
Threshold uncertainty score0.376

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 head0.169
Teacher spread0.162 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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