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Record W2728752291 · doi:10.1299/jsmessc.2001.5.119

D02 Study on the practical refrigeration system with a pulse tube refrigerator

2001· article· en· W2728752291 on OpenAlexaboutno aff
Makoto Nohtomi, Masafumi Katsuta

Bibliographic record

VenueThe Proceedings of the Symposium on Stirlling Cycle · 2001
Typearticle
Languageen
FieldEngineering
TopicAdvanced Thermodynamic Systems and Engines
Canadian institutionsnot available
Fundersnot available
KeywordsRefrigerationPulse tube refrigeratorRefrigerantRefrigerator carHeat exchangerTube (container)Vapor-compression refrigerationCryocoolerCooling capacityGas compressorEnvironmental scienceStirling engineMechanical engineeringRegenerative heat exchangerNuclear engineeringComputer scienceEngineering

Abstract

fetched live from OpenAlex

Since environmental problems are getting to be very serious in these days, we have to provide for the protection of the environment as soon as possible. As a result of the Montreal Protocol and the Kyoto Protocol, utilization of CFCs and HFCs are restricted to phase out and to cut down respectively. Therefore, an interest is growing to apply a cryocooler to the non CFCs' and non HFCs' refrigeration system, which will be a candidate for alternatives of the traditional vapor compression refrigeration system. In particular, a helium gas is one of the promising refrigerants for its zero ODP (Ozone Depletion Potential) and zero GWP (Global Warming Potential) characteristics. In this paper, some kinds of heat exchanger have been discussed to compare the characteristics among various kinds of refrigeration system. And in addition, a Stirling cycle refrigeration system, such as pulse tube refrigeration, is focused to concretize the value of it and at the same time a checking up the feature of a pulse tube refrigerator is done. To make further reference to the performance of pulse tube refrigeration, a numerical calculation has been done. As a result of it, a velocity distribution in section varies greatly owing to the operating condition. Especially, near the solid wall, the definition of the thickness of boundary layer is difficult and that thickness acts on the refrigeration performance. Finally to improve or develop the Stirling cycle refrigeration system, some comments are made.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score0.507

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.227
Teacher spread0.215 · 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

Citations0
Published2001
Admission routes1
Has abstractyes

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