MétaCan
Menu
Back to cohort
Record W2706089335 · doi:10.1299/jsmefed.2015._0903-1_

0903 Numerical Analysis of cryogenic multiphase flow characteristics with a solid phase change within the Laval nozzle

2015· article· en· W2706089335 on OpenAlexaboutno aff
Haruto Abe, Jun Ishimoto, Naoya Ochiai

Bibliographic record

VenueRyuutai Kougaku Bumon Kouenkai kouen rombunshuu/Ryutai Kogaku Bumon Koenkai koen ronbunshu · 2015
Typearticle
Languageen
FieldMathematics
TopicGas Dynamics and Kinetic Theory
Canadian institutionsnot available
Fundersnot available
KeywordsSubcoolingNozzleAdiabatic processMaterials scienceThermodynamicsParticle (ecology)Liquid nitrogenHeat fluxCryogenicsMechanicsNuclear engineeringFlow (mathematics)NitrogenHeat transferChemistryPhysicsEngineering

Abstract

fetched live from OpenAlex

The innovative characteristics of the cryogenic single-component micro-nano solid nitrogen (SN_2) particle production using super adiabatic Laval nozzle and its application to the ultra-high heat flux cooling process are investigated by a new type of integrated measurement coupled computational technique. Furthermore, cooling characteristics and impingement behavior of cryogenic micro-solid nitrogen (SN_2) particles in relation to a heated wafer substrate were investigated for application to next generation cooling technology. It is especially found that high-speed ultra-fine SN_2 particle is continuously generated due to the freezing of liquid nitrogen (LN_2) droplet induced by rapid adiabatic expansion of subsonic subcooled two-phase subcooled nitrogen flow passing through the Laval nozzle.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.053
GPT teacher head0.335
Teacher spread0.282 · 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 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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueRyuutai Kougaku Bumon Kouenkai kouen rombunshuu/Ryutai Kogaku Bumon Koenkai koen ronbunshuSame topicGas Dynamics and Kinetic TheoryFrench-language works237,207