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Record W2907843272 · doi:10.15377/2409-5826.2018.05.4

Modified Effectiveness Model for Crossflow Packed-Bed Humidifiers

2018· article· en· W2907843272 on OpenAlexaff
Robert Zinni, Mostafa H. Sharqawy

Bibliographic record

VenueJournal of Advanced Thermal Science Research · 2018
Typearticle
Languageen
FieldEngineering
TopicAdsorption and Cooling Systems
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsHumidifiersPacked bedHeat exchangerMass transferLatent heatHeat transferEnvironmental scienceFlow (mathematics)Cooling capacityMechanicsMaterials scienceThermodynamicsNuclear engineeringChromatographyChemistryEngineeringEnvironmental engineeringPhysics

Abstract

fetched live from OpenAlex

A model for the energy effectiveness of cross-flow packed-bed humidifiers is developed and compared with experimental data. The effectiveness of the humidifier is defined as the sensible and latent heat transferred to the air to the maximum total energy available to the humidified air. Simultaneous heat and mass transfer models; available in the literature and originally developed forwent counter flow cooling towers, are utilized to develop a modified model in this paper. The main modification added to that model is a definition of the heat capacity ratio that combines the simultaneous heat and mass transfer transport in that cross-flow packed-bed humidifiers. It was found that the mixed-mixed crossflow heat exchanger effectiveness relationship developed by Kays and London agrees well with the experimental data with an average deviation of less than 10%. The mixed-unmixed correlation developed by Kays and London [12] which was recommended by Jaber and Webb is found to have larger deviation from the experimental measurements occurred at higher heat capacity ratios.

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score0.334

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.076
GPT teacher head0.404
Teacher spread0.328 · 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 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

Citations1
Published2018
Admission routes1
Has abstractyes

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