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Record W3141149512

Design and evaluation of a Laval-type supersonic atomizer for low-pressure gas atomization of molten metals

2014· article· en· W3141149512 on OpenAlexaboutno aff
Chao-run, Si Si, Xianjie, Zhang, Junbiao, Wang, YuJun YuJun, Li

Bibliographic record

Venue矿物冶金与材料学报:英文版 · 2014
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Heat Transfer
Canadian institutionsnot available
Fundersnot available
KeywordsMolten metalSupersonic speedMaterials scienceMetallurgyChemistryThermodynamicsPhysics
DOInot available

Abstract

fetched live from OpenAlex

Laval 类型超声的煤气的 atomizer 为熔融的金属的低压的煤气的粉碎成原子被设计。主要设计目的是由改进煤气的入口和插头结构并且优化结构的参数在更低的操作压力生产小粒子的一致粉末。一个计算液体流动模型被开发学习设计 atomizer 的流动领域特征。模拟结果证明在粉碎成原子地区的最大的煤气的速度能到达 440 m 敭楲慺楴湯瀠潲畤瑣 ? 敷敲挠慨慲瑣牥穩摥戠 ? 敭档湡捩污琠獥楴杮? 諟熻鷸 { 攠敬瑣潲 ? 業牣獯潣祰 ???? 湥牥祧搭獩数獲癩?? 慲? 灳 ' 虪光礉樀???? 湡 ?? 慲? 楤晦慲瑣潩 ? 堨吗??

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score0.508

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.019
GPT teacher head0.239
Teacher spread0.220 · 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
Published2014
Admission routes1
Has abstractyes

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