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Record W3210780703 · doi:10.3390/app112110288

Experimental Investigation of the Cooling Effect Generated by a Heat Sink Integrated Thermoelectric-Based U-Shaped Air-Conditioning System

2021· article· en· W3210780703 on OpenAlexaff
Yesha Patel, Abu Raihan Mohammad Siddique, Mohammad Reza Mohaghegh, Syeda Humaira Tasnim, Shohel Mahmud

Bibliographic record

VenueApplied Sciences · 2021
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Thermoelectric Materials and Devices
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsThermoelectric coolingTECAirflowRefrigerationEnvironmental scienceHeat sinkThermoelectric effectMaterials scienceAir conditioningVolumetric flow rateNuclear engineeringWater coolingMechanicsMeteorologyMechanical engineeringThermodynamicsEngineeringPhysics

Abstract

fetched live from OpenAlex

Over the past years, thermoelectric refrigeration has attracted considerable attention due to its compact size, reliability, and environmental friendliness. Traditional refrigeration systems use greenhouse gases, which significantly impacts our environment. Therefore, in this work, a thermoelectric cooler prototype refrigeration system, a solid-state device causing no harm to the environment, was constructed and tested experimentally. A heat sink was attached to the cold side of the thermoelectric cooler (TEC) to cool the air passing through the heat sink. In contrast, a cold plate was attached to the hot side of TEC to remove the generated heat with the help of the liquid circulating in the aluminium cold plate. Experiments were carried out by varying parameters such as input current to the TEC module, inlet air flow rate, water flow rate through the cold plate, etc. The experimental results indicate that the cooling effect is increased by approximately 40%, increasing current from 2A to 8A. However, the cooling effect was decreased with increasing inlet airflow rate by 58% when airflow rate increased from 2.25 m/s to 3.55 m/s. However, the system performance shows approximately 35% increment with an increase in fan speed. Furthermore, a decrease in the water flow rate from 3.04 L/m to 1.80 L/m showed a slight increment in the cooling by 15%.

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)0.001
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 score0.008
Threshold uncertainty score0.537

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.234
Teacher spread0.224 · 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

Citations7
Published2021
Admission routes1
Has abstractyes

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