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Formulação adimensional do fluxo em injetores de fertilizantes

2006· article· pt· W1999671160 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista Brasileira de Engenharia Agrícola e Ambiental · 2006
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicSoil Management and Crop Yield
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPhysicsMathematics

Abstract

fetched live from OpenAlex

Nesta pesquisa, desenvolveu-se uma solução analítica para previsão e análise do desempenho de injetores de fertilizantes. As equações de conservação de massa, quantidade de movimento e energia, foram aplicadas ao processo de mistura dos fluidos de sucção e motriz através de uma formulação adimensional. Injetores de alto desempenho foram avaliados experimentalmente, utilizando-se água, tanto como fluido motriz como de sucção, de forma que os coeficientes de perda de carga em cada componente desses equipamentos, fossem obtidos através de calibração. A formulação proposta apresentou estreita concordância com os dados experimentais e forneceu valores adequados para os coeficientes de perda de carga implícitos nas equações. Através de curvas teóricas de rendimento, geradas a partir dos coeficientes de perda de carga calibrados, constatou-se que, quanto maior é a densidade do fluido de sucção menores são as faixas de vazão de operação e os rendimentos alcançados.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.015
GPT teacher head0.236
Teacher spread0.221 · 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