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Record W4389567101 · doi:10.5539/jsd.v17n1p82

Multiphase Flow in Hydrogen Generation

2023· article· en· W4389567101 on OpenAlex
Wilson Ekpotu, Joseph Akintola, Martins Obialor, Udom Philemon, Imo-Obong E. Utoh

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Sustainable Development · 2023
Typearticle
Languageen
FieldEngineering
TopicCyclone Separators and Fluid Dynamics
Canadian institutionsDalhousie UniversityMemorial University of Newfoundland
Fundersnot available
KeywordsMultiphase flowLaminar flowMultiphysicsHydrogen productionHydrogenMechanicsVolumetric flow rateMaterials scienceShear rateFlow (mathematics)Shear stressEnvironmental scienceThermodynamicsChemistryRheologyPhysicsFinite element methodComposite material

Abstract

fetched live from OpenAlex

This study examined the laminar-multiphase characteristics in hydrogen production processes by utilizing the simulation software, “COMSOL 5.3 multiphysics simulation software”. The study's objective enhanced the evaluation of the multiphase flow operations involved in hydrogen generation, and determined the key contributors to the multiphase flow in the production of hydrogen. The methodology of the study also involved the design and simulation of the multiphase flow operations involved in hydrogen production and showed the analysis of the flow properties, including pressure profile, velocity profile, concentration profile, and shear rate profile, thereby insights into the multiphase flow interactions. Additionally, the research results enabled an improved understanding of the multiphase flow interactions in hydrogen production and led to an improvement in the process operational conditions for the system. The inference of the study was based on the quantifiable results obtained from the simulation which provided a comprehensive analysis of the multiphase flow characteristics in hydrogen production. More importantly, the shear stress for water-hydrogen system and hydrogen were shown with the shear rate describing the gradient in velocity and the pressure profile, shear rate profile, and velocity profile were calculated for a 2D profile versus the arc length for each of these variables. Thereafter, the results of this research simulation demonstrated that high velocity profile for hydrogen flow was observed within the reactor; with the highest velocity observed in the reactor within the length of (0.5 – 6.5)m, hence indicating optimum length of the water-split reactor for maximum velocity flow. The results further indicated that the profile of water-hydrogen and hydrogen pressure becomes uniform at a distance of 1mm from the entrance and the maximum pressure flow for water-hydrogen and hydrogen fluids pressure are 17.8Pa and 238.27Pa which shows a sufficiently higher pressure of hydrogen.

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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.357

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 head0.010
GPT teacher head0.217
Teacher spread0.208 · 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