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Record W3018320317 · doi:10.53555/nnmce.v2i3.350

Experimental Investigation of Water Cooler System by Using Eco-Friendly Refrigerant (R-134a)

2015· article· en· W3018320317 on OpenAlexaboutno aff
Rajendra B. Velkar, Nagesh S. More, Vaibhav K. Dongare, Anirudha G. Mulgund, Vaibhav V. Gardi, Dattatray D. Surve

Bibliographic record

VenueJournal of Advance Research in Mechanical & Civil Engineering (ISSN 2208-2379) · 2015
Typearticle
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsRefrigerantRefrigerationVapor-compression refrigerationEnvironmental scienceAir conditioningEnvironmentally friendlyProcess engineeringMontreal ProtocolWaste managementEngineeringOzone layerOzoneMeteorologyHeat exchangerMechanical engineeringEcologyGeography

Abstract

fetched live from OpenAlex

With the recent government regulations, of banning the ozone depleting substances and Kyoto protocol later on curtaining to the use of substances which contribute to global warming, conventional refrigerants are to be replaced by the environment friendly refrigerants. Present day mankind depends heavily on refrigeration for his daily needs. This can be noticed by wide range of applications such as for home refrigeration, comfort cooling, preservation and transport, commercial and industrial air conditioning, hospitals, offices etc. These refrigeration system works on simple vapour compression refrigeration cycle. The water cooler system also works on simple vapour compression refrigeration cycle and uses R134a as a refrigerant. It is environment friendly. The performance of refrigerant R134a has been found and the results were used to evaluate the behavior of the system under varying load conditions and to measure the COP of the system. The water cooler system has been designed and fabricated specially for small capacity.

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)0.002
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 score0.056
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.047
GPT teacher head0.316
Teacher spread0.268 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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Same venueJournal of Advance Research in Mechanical & Civil Engineering (ISSN 2208-2379)Same topicRefrigeration and Air Conditioning TechnologiesFrench-language works237,207