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Record W2249292870 · doi:10.4271/2005-01-2031

Parametric Analysis of Non-Adiabatic Transcritical Flow in Capillary Tubes for a New Refrigeration Cycle

2005· article· en· W2249292870 on OpenAlexaff
Y. Chen, Jun Gu

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2005
Typearticle
Languageen
FieldEngineering
TopicHeat transfer and supercritical fluids
Canadian institutionsCarleton University
Fundersnot available
KeywordsRefrigerationAdiabatic processCapillary actionMechanicsTranscritical cycleParametric statisticsFlow (mathematics)ThermodynamicsMaterials scienceEnvironmental scienceNuclear engineeringPhysicsGas compressorRefrigerantMathematicsEngineering

Abstract

fetched live from OpenAlex

<div class="htmlview paragraph">This paper presents a non-adiabatic homogeneous model of carbon dioxide flow in a novel integrated accumulator-expander-heat exchanger, which integrates the functions of refrigerant storage, expansion and heat transfer, and can lower weight and cost of the system. The model is based on the fundamental conservation equations of mass, momentum and energy. These equations are solved simultaneously through iterations. The in-tube flow can be divided into a single-phase region and a two-phase region. The choking situation at the capillary outlet is evaluated by local sonic velocity judgment. Relationships between cooling pressure, evaporating temperature, capillary size, and other parameters are presented and analyzed in detail. It can be seen that the heat transfer changes with different kinds of capillary tubes under different conditions. The present model can be used for both system design and performance evaluation. It is also very helpful in understanding the transcritical flow behaviour inside capillary tubes.</div>

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.010
GPT teacher head0.248
Teacher spread0.238 · 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.

Study designObservational
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
Published2005
Admission routes1
Has abstractyes

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