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Record W4399664432 · doi:10.11159/jffhmt.2024.011

Flashing Phenomena in Multiphase VOF Investigation for Water Purification

2024· article· en· W4399664432 on OpenAlexvenueno aff
Tarek H Nigim

Bibliographic record

VenueJournal of Fluid Flow Heat and Mass Transfer · 2024
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Mixing
Canadian institutionsnot available
FundersUniversity of Galway
KeywordsFlashingVolume of fluid methodMechanicsEnvironmental scienceMaterials sciencePetroleum engineeringGeologyPhysicsMetallurgyFlow (mathematics)

Abstract

fetched live from OpenAlex

This study explores the phenomenon of flashing within dedicated chambers, pivotal for water purification in multistage flash (MSF) systems.Introducing a new classification encompassing ideal, infinite, and finite flashing processes, we employ a computational approach using a two-phase Volumeof-Fluid (VOF) model.Our model accurately reproduces phasechange phenomena, free surface dynamics, and thermofluid behaviour.Validation against real-world data from operational flashing chambers precedes an examination of the effects of finite and infinite flashing processes on flow patterns and thermal performance.Our findings emphasize the significant influence of flashing process types, finite or infinite, on thermofluid behaviour within the evaporation zone.This study provides valuable insights into the complex multiphase dynamics of flashing, essential for optimizing MSF Desalination.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.208
Teacher spread0.198 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2024
Admission routes1
Has abstractno

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