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Record W7065731389

Diseño de un conjunto de componentes mecánicos para modificar un elevador telescópico en un desatador de rocas

2019· dissertation· es· W7065731389 on OpenAlexaboutno aff

Bibliographic record

Venuerenati · 2019
Typedissertation
Languagees
FieldPhysics and Astronomy
TopicLaser-Plasma Interactions and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsBuckleNova scotiaStage (stratigraphy)
DOInot available

Abstract

fetched live from OpenAlex

El desatado de rocas representa el 30% de los accidentes fatales ocurridos en minería subterránea siendo considerado una actividad de alto riesgo; para disminuir este riesgo se introdujo al mercado un equipo auxiliar denominado Scaler; actualmente existen diferentes diseños, en su mayoría obtenidos por la conversión de equipos diseñados para la construcción y transporte de carga. La presente tesis muestra el diseño de un brazo hidráulico telescópico de sección rectangular con un alcance máximo de 5m cuyo equipamiento consta de: cilindros hidráulicos, martillo hidráulico, rodamiento de giro, motor hidráulico, bomba hidráulica, válvulas y mangueras, para convertir un elevador telescópico en un desatador de rocas cuya operación está enfocada en una sección de avance de 4mx4m (explotación mecanizada de vetas angostas). Por último, se usaron diversas herramientas computacionales como SolidWorks, Adams, Matchad y FluidSim; obteniéndose resultados en un menor tiempo y análisis iterativo en el desarrollo de la concepción del diseño.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.011
GPT teacher head0.267
Teacher spread0.257 · 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 designBench or experimental
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
Published2019
Admission routes1
Has abstractyes

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