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Record W2055991784 · doi:10.1504/ijex.2011.041428

Reducing entropy generation by volumetric heat transfer in a supersonic two-phase steam flow in a Laval nozzle

2011· article· en· W2055991784 on OpenAlexaboutno aff
Mohammad Reza Mahpeykar, Ali Reza Teymourtash, Ehsan Amiri Rad

Bibliographic record

VenueInternational Journal of Exergy · 2011
Typearticle
Languageen
FieldMathematics
TopicGas Dynamics and Kinetic Theory
Canadian institutionsnot available
Fundersnot available
KeywordsThermodynamicsMaterials scienceSupersonic speedHeat transferSupercoolingAdiabatic processNozzleCondensationMechanicsNucleationChoked flowPhysics

Abstract

fetched live from OpenAlex

In a supersonic flow of pure vapour in adiabatic diffusers, under some circumstances, nucleation phenomenon occurs and consequently vapour condensation is observed. In this process, the resulted pressure rise is called the condensation shock, which causes the entropy generation. The innovation of this research is analytically modelling the volumetric heat addition to the steam flow in a 1D convergent?divergent supersonic nozzle. The analysis of the results shows that an appropriate volumetric heat addition to the convergent section of a convergent?divergent supersonic nozzle can reduce the degree of supercooling and subsequently reduce the nucleation rates significantly. The condensation reduction declines the irreversible internal heat transfer, which improves the efficiency of the steam flow.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.710
Threshold uncertainty score0.457

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.032
GPT teacher head0.298
Teacher spread0.266 · 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

Citations23
Published2011
Admission routes1
Has abstractyes

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