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Record W2417874172 · doi:10.18090/samriddhi.v5i1.1519

Successive Improvement of Refrigerants in Vapour Compression Refrigeration System for Sustainable Environment

2014· article· en· W2417874172 on OpenAlexaboutno aff
Vivek K. Dwivedi, Rahul Singh

Bibliographic record

VenueSAMRIDDHI A Journal of Physical Sciences Engineering and Technology · 2014
Typearticle
Languageen
FieldEngineering
TopicSpace Technology and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsRefrigerantMontreal ProtocolRefrigerationVapor-compression refrigerationOzone layerEnvironmental scienceProcess engineeringOzone depletionEnvironmentally friendlyImplementationWaste managementComputer scienceOzoneChemistryEngineeringGas compressorOrganic chemistryEcologyMechanical engineering

Abstract

fetched live from OpenAlex

In the present paper, it is presented about the drastic changes in refrigerants in VCRS from the past days keeping in mind the need of changing the past refrigerants due to the rapid depletion of our Ozone layer. When the depletion of Ozone layer was observed increasing day by day Montreal Protocol was signed for prohibition of the use of the refrigerants like CFC, HCFC, HFC and their derivatives were prohibited worldwide.But the need of refrigerants were increasing rapidly day by day so new refrigerants were discovered like R-11, R-22 and many more which are efficient enough and eco-friendly too. In this paper, it is also presented that the new drastic changes in the introduction of new refrigerants like R-410 A and R-417 A. Their efficiency, drawback, new implementations are also introduced in this paper.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

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 communication0.0010.001
Open science0.0010.000
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 head0.003
GPT teacher head0.206
Teacher spread0.203 · 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 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
Published2014
Admission routes1
Has abstractyes

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Same venueSAMRIDDHI A Journal of Physical Sciences Engineering and TechnologySame topicSpace Technology and ApplicationsFrench-language works237,207