MétaCan
Menu
Back to cohort
Record W4386071105 · doi:10.11159/htff23.172

A Three-Dimensional CFD Analyses for the Gas Holdup in a BubbleColumn Reactor

2023· article· en· W4386071105 on OpenAlexvenueno aff
Mohammed W. Abdulrahman, Nashaat N. Nassar

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2023
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Mixing
Canadian institutionsnot available
Fundersnot available
KeywordsComputational fluid dynamicsBubbleColumn (typography)MechanicsBubble column reactorEnvironmental scienceNuclear engineeringMaterials sciencePetroleum engineeringGas bubbleMechanical engineeringPhysicsEngineering

Abstract

fetched live from OpenAlex

Hydrogen is becoming an increasingly attractive alternative fuel.As such it is important to investigate different methods of hydrogen production.This paper examines the thermochemical process of splitting water using the three stage Cu-Cl Cycle.In particular it examines the hydrodynamics of the direct contact heat transfer in the Cu-Cl's oxygen reactor for a two-phase system, using a three dimensional Eulerian-Eulerian Computational Fluid Dynamics (CFD) model.The model is verified using experimental results and compared to a two-dimensional CFD model by examining the gas holdup using a helium-water system for different superficial gas velocities (0.05-0.15 m/s).The three-dimensional helium-water system is able to accurately model the trends of the gas holdup while changing the superficial gas velocity with a maximum percent error of 8.37%.The three-dimensional model is more accurate and somewhat over predicted in comparison to the two-dimensional model.Also, it is found that gas holdup increases when increasing the superficial gas velocity.

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 score0.376
Threshold uncertainty score0.640

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 head0.017
GPT teacher head0.235
Teacher spread0.219 · 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

Citations10
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the World Congress on Mechanical, Chemical, and Material EngineeringSame topicFluid Dynamics and MixingFrench-language works237,207