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Record W4254857472 · doi:10.1504/ijhm.2020.112200

Study on flow field and temperature field characteristics of gas-liquid two-fluid snowmaking nozzle

2020· article· en· W4254857472 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Hydromechatronics · 2020
Typearticle
Languageen
FieldEngineering
TopicIcing and De-icing Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsNozzleInletDischarge coefficientMechanicsSupersonic speedMaterials scienceFlow (mathematics)ChemistryThermodynamicsMechanical engineeringEngineeringPhysics

Abstract

fetched live from OpenAlex

A snowmaking nozzle based on the principle of supersonic speed of Laval nozzle is proposed, and the influence of its operation and structural parameters on flow field and temperature field characteristics is analysed. The results show that the gas-liquid mixture velocity outside the nozzle outlet increases with the increase of air inlet pressure, water inlet pressure and throat diameter, decreases with the increase of distance between water inlet and nozzle outlet. The gas-liquid mixture temperature outside the nozzle outlet increases as water inlet pressure and distance between water inlet and nozzle outlet increases, decreases as air inlet pressure and throat diameter increases. As gas-liquid pressure ratio increases, the gas-liquid mixture velocity outside the nozzle outlet tends to decrease first, then increase and then decrease, while its temperature tends to increase first, then decrease and then increase. When gas-liquid pressure ratio α = 3, this nozzle has the best performance.

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.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.436
Threshold uncertainty score0.477

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.011
GPT teacher head0.249
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