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Record W2781491255 · doi:10.15517/ri.v28i1.29257

Desarrollo de un Modelo Virtual para el Conformado de Aceros Inoxidables

2017· article· es· W2781491255 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

VenueIngeniería · 2017
Typearticle
Languagees
FieldEngineering
TopicAdvanced machining processes and optimization
Canadian institutionsBombardier (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

En este trabajo se presenta un modelo virtual en ANSYS del proceso de conformado en aceros inoxidables que permite la obtención de la fibra neutra. La fibra neutra, también conocida como factor K, permite el cálculo del desarrollo de una pieza para su posterior conformado. Dada la complejidad de los procesos de conformado en la industria, como lo son el doblado, embutido y estampado, es necesario realizar el análisis computacional de los mismos. Es importante disponer de modelos que permitan conocer el comportamiento de los materiales durante su procesamiento para disminuir los posteriores errores de manufactura. Este trabajo propone un método de análisis por elementos finitos para el conformado de aceros inoxidables y presenta la comparativa con la experimentación física. Se ha caracterizado el proceso particular de doblado y se ha hecho la comparativa con probetas físicas de los aceros inoxidables 201 y 304, la cual muestra una diferencia de apenas el 0.4 por ciento entre ambas. El factor K obtenido puede ser utilizado directamente para cálculos analíticos para el desarrollo de piezas, o en los softwares de plegado de chapa metálica.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.542
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.015
GPT teacher head0.283
Teacher spread0.268 · 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