MétaCan
Menu
Back to cohort
Record W2752360696 · doi:10.1002/cjce.23016

Bubble dynamic behaviours at various capillary orifices in a bioreactor with methane oxidizing bacteria suspension

2017· article· en· W2752360696 on OpenAlexaffvenue
Qin‐Yuan Tang, Chenglong Guo, Hong‐Shan Pei, Feiqiang Guo

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2017
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Mixing
Canadian institutionsUniversity of Alberta
FundersFundamental Research Funds for the Central Universities
KeywordsBubbleBioreactorCapillary actionMethaneBody orificeVolume (thermodynamics)AerationSuspension (topology)BioconversionChemistryMaterials scienceChemical engineeringMechanicsThermodynamicsComposite materialFermentationPhysicsMechanical engineeringEngineering

Abstract

fetched live from OpenAlex

Abstract Bubble dynamic behaviour has a significant influence on methane bioconversion because a gas mixture including methane and oxygen is usually supplied into a bioreactor with a methane oxidizing bacteria suspension via capillary orifice, forming bubbles. In the work, bubble dynamic behaviours at various capillary orifices were experimentally visualized, as well as the movement of microorganisms was observed during bubble formation evolution. The experimental results showed the chemotaxis effect and the bubble expansion as two key factors affecting the movement of microorganisms in the bioreactor with methane oxidizing bacteria suspension. At the incline angle of 90°, the equivalent departure diameter and departure volume were the smallest, while the departure time was the shortest. With increasing inner diameter, the equivalent departure diameter and departure volume increased, but the waiting time was the longest and the departure time was the shortest at the inner diameter of 0.3 mm. In addition, the successive inrush of bubbles forming at the capillary orifice with 90° incline angle and 0.1 mm inner diameter resulted in the shock of the gas‐liquid interface, affecting the bubble dynamic behaviour. The results in this work contribute to the design of a high‐productivity bioreactor with an optimized aeration system for enhancing mass transfer of methane from the bubble to the bacteria suspension and subsequent methane bioconversion.

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 score0.380
Threshold uncertainty score0.821

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 head0.186
Teacher spread0.179 · 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

Citations4
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueThe Canadian Journal of Chemical EngineeringSame topicFluid Dynamics and MixingFrench-language works237,207