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Record W3102286232 · doi:10.11159/ffhmt20.156

Experimental Investigation of Humidification Efficiency of a StructuredPacking-Based Counter Flow Humidification System

2020· article· en· W3102286232 on OpenAlexvenueno aff
Sampath Suranjan Salins, S.V. Kota Reddy

Bibliographic record

VenueProceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer · 2020
Typearticle
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsFlow (mathematics)Computer scienceProcess engineeringMechanicsEngineeringPhysics

Abstract

fetched live from OpenAlex

Cooling & humidification process is one of the widely used AC application for cooling purposes. It is adopted where a certain amount of moisture content must be maintained, in order to achieve thermal comfort. Packing is an element which holds the fluid within its surface and interact with the intersecting fluid. Current paper focus on the construction of the humidification unit where the water is made to drip on the packing uniformly and the air is made to pass through the packing in counterflow direction. The moisture content of the air increased by 15%. The experimentation is carried out with different water temperature & the air flow rate. Optimum flow rate of air and temperature of water is determined based on trials conducted. Humidification efficiencies can be determined for varying flow rates of air & by measuring various temperatures. Results showed that there is drop-in rate of heat transfer of 25% from the peak value and the average drop in humidifying efficiency by 27% when there is an increase in the mass flow rate after a certain limit. Change in relative humidity and temperature drops by an average value of 59% and 81% respectively.

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 score0.289
Threshold uncertainty score0.448

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 head0.025
GPT teacher head0.220
Teacher spread0.195 · 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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the ... International Conference on Fluid Flow, Heat and Mass TransferSame topicRefrigeration and Air Conditioning TechnologiesFrench-language works237,207