MétaCan
Menu
Back to cohort
Record W7106600350

超声速旋流分离器内天然气液化过程研究

2015· article· zh· W7106600350 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2015
Typearticle
Languagezh
FieldEngineering
TopicFluid Dynamics and Heat Transfer
Canadian institutionsnot available
Fundersnot available
KeywordsProcess (computing)Identification (biology)Product (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

目前关于超声速旋流分离器内天然气凝结液化过程的研究较少,为此,通过数值模拟计算对Laval喷管内气体凝结液化过程进行研究,并分析喷管结构对凝结液化的影响。研究结果表明,甲烷气体在喷管内发生了自发凝结现象,但凝结冲波现象并不明显,这与甲烷气体凝结过程液滴生长较慢且凝结潜热较小有关;随着喷管膨胀率的增大,气体过冷度增加越快,其能更早达到凝结液化条件(Wilson点);喷管内最大成核率、液滴数目及湿度(液化率)均随膨胀率的增大而增大,膨胀率从6 000 s<sup>-1</sup>增大到12 000 s<sup>-1</sup>,成核率最大值增加154.8%,液滴数目增加79.5%,喷管出口湿度增加51.7%,较大程度提高了液化率;对于扩张段长度固定的喷管,过大膨胀率将导致气体温度或压力低于三相点而无法液化;不同膨胀率及不同入口条件下液化率均较低,需进一步开展多级液化研究。

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0030.003
Open science0.0040.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.000

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 head0.283
GPT teacher head0.524
Teacher spread0.241 · 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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueDOAJ (DOAJ: Directory of Open Access Journals)Same topicFluid Dynamics and Heat TransferFrench-language works237,207