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Record W4416880080 · doi:10.1080/00219592.2025.2588982

Comprehensive Analysis of the Overall Gas Holdup Profiles in Various Air-Water Bubble Columns

2025· article· en· W4416880080 on OpenAlexaff
Stoyan Nedeltchev, Adam Mühlbauer, Andrea Ferrario, Nicolò Varallo, Sara Marchini, Dominic Pjontek, Mark W. Hlawitschka, Giorgio Besagni

Bibliographic record

VenueJOURNAL OF CHEMICAL ENGINEERING OF JAPAN · 2025
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Mixing
Canadian institutionsWestern University
Fundersnot available
KeywordsSpargingExponentHomogeneousBubbleMass transferContactorFlow (mathematics)Gas bubble

Abstract

fetched live from OpenAlex

Bubble columns (BCs) are widely used gas-liquid contactors in the chemical industry. Their hydrodynamic and mass transfer performance depends on the prevailing flow regime (FR) and the gas sparger (GS) type (particularly in the homogeneous FR). In this work, numerous gas holdup profiles measured by means of different techniques in various air-water BCs (with inner diameters between 0.1 and 0.33 m) have been carefully analyzed. A comparative analysis of the power-law dependence of gas holdup on the superficial gas velocity UG has been performed. Eight different GS types have been used. The dependence of the constant C and the exponent n (in the power-law fit) on the GS type in both main FRs has been investigated. The effect of the operating pressure P on these parameters has been studied in a BC equipped with a perforated plate GS with an open area (OA) of 2.25%. The previous knowledge about the exponent n was corrected based on our database of gas holdups. It was shown that in some cases the n value could exceed the limit of 1.2 in the homogeneous FR. On the other hand, in the case of gas maldistribution, the n value could be lower than 1. It was also found that the n value increases with P, which implies that the n value is associated with the behavior of the small bubbles, which predominate at elevated P values. It turn out that in the heterogeneous FR the n value at ambient P was as low as 0.17 and then gradually it increased to 0.44 at P = 3.0 MPa. In the case of heterogeneous BCs equipped with the other GS types and operated at ambient P, the n values varied between 0.11 and 0.73. Such a low n value has not been reported hitherto.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.377

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 head0.003
GPT teacher head0.185
Teacher spread0.182 · 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
Published2025
Admission routes1
Has abstractyes

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