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Record W4410420538 · doi:10.70567/rmc.v1i19.224

Modelado de la Soldadura y Manufactura Aditiva con Asistencia por Alambre Caliente (Hot-Wire)

2024· article· es· W4410420538 on OpenAlexaff
Fernando B. Sánchez Sarmiento, Patricio F. Méndez

Bibliographic record

VenueResúmenes de Mecánica Computacional · 2024
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsCanadian VIGOUR Centre
Fundersnot available
KeywordsHumanitiesArtEngineering

Abstract

fetched live from OpenAlex

Este trabajo presenta un análisis de la deposición por alambre caliente durante soldadura. En esta metodología, el alambre está en contacto con la pieza de trabajo y la corriente se induce de tal manera que el alambre se calienta casi exclusivamente por efecto Joule. Entonces, se produce una combinación tal que la velocidad, la longitud y las propiedades del alambre junto con la corriente generan que el punto de contacto entre el alambre y la pieza alcance la temperatura de fusión. Esta tecnología es ampliamente empleada en la industria nuclear y otras industrias donde los materiales son sensibles al calor aportado. El desafío de este modelado radica en que la resistividad del alambre varia en un orden magnitud entre la temperatura con la que ingresa el alambre y su fusión. Esto se resuelve con un modelo no lineal y el conocimiento detallado del propiedades eléctricas y termo-físicas.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.018
GPT teacher head0.266
Teacher spread0.248 · 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 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
Published2024
Admission routes1
Has abstractyes

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