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Record W2368793826

Novel Gas Atomization Device for Preparing Ultra Fine Metal Powder

2008· article· en· W2368793826 on OpenAlexaboutno aff
Zhao Xiao-juan

Bibliographic record

VenueRejiagong gongyi · 2008
Typearticle
Languageen
FieldEngineering
TopicElectrohydrodynamics and Fluid Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsNozzleMaterials scienceJet (fluid)Electric fieldPowder metallurgyDispersion (optics)TinGranularityAnalytical Chemistry (journal)MetallurgySinteringOpticsChemistryMechanical engineeringChromatographyMechanics
DOInot available

Abstract

fetched live from OpenAlex

Based on the technologies of gas atomization,supersonic gas atomization,surface effect of electric charges and jet technology,a novel atomization device of two fluids atomization with the combination of solid atomization and electric field is designed utilizing a LAVAL nozzle,delivery tube of sectional type and electrical field dispersion technique.The 63 A soldering tin was atomized with the air,and the powder prepared was analzed by optical granularity analyzer,analyzer of size distributions and Zeta electric potential analytic instrument.The results show that the powders with less than 8 μm can reach 75%;the average size is 1.761 2 μm,and the first peak in the distribution curve is around 500 nm,which is an order of magnitude smaller than that the reported peak.The compound atomization device can refine the powder effectively,improve uniformity,yielding rate,and the purity of atomized powders and has a significant atomization effect,thus provides powerful supports for preparing fine metal powders with high efficiency and low energy consumption and has a good prospect in the application.

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score0.955

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 head0.010
GPT teacher head0.211
Teacher spread0.201 · 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 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
Published2008
Admission routes1
Has abstractyes

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