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Study of Superioring of a Seal Soldered by Tig Process of the Aluminum League 6061

2020· article· en· W3095017863 on OpenAlexaboutno aff
J.A. da Silva, A.G. Miranda, Solenise Pinto Rodrigues Kimura, Bruna Michelle de Freitas, Rassana Nathalia Araújo Silva, João Carlos Martins da Costa, José Costa de Macêdo Neto, Susana Leite

Bibliographic record

VenueMaterials science forum · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvanced Welding Techniques Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceMetallurgyIndentation hardnessGas tungsten arc weldingWeldingJoint (building)MetallographyAlloyAluminiumTungstenEngineeringMicrostructureStructural engineeringArc welding

Abstract

fetched live from OpenAlex

The aim of this work was to verify the mechanical behavior of a Gas Inert Tungsten (TIG) welded joint of a 6061 aluminum alloy, after aging and super-aging thermal treatments. The characteristics of aluminum allow diversified applications, which contributes as one of the most used metals in the world. Being a lightweight, durable and sturdy material, it shows excellent performance and superior properties in most applications. Brazil is the eleventh primary aluminum producer, preceded by China, Russia, Canada, the United Arab Emirates, India, Australia, the United States, Norway, Bahrain and Saudi Arabia. The specific objectives were to obtain welded joints in aluminum by TIG process, performing the thermal treatments of aging and super-aging, metallography/macrography tests of welded joints, microhardness test of treated and untreated joints, and analysis of the results. The methodology used in the analysis of the samples was by the techniques of Metalografia and Microhardness.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.317

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.014
GPT teacher head0.254
Teacher spread0.240 · 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 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
Published2020
Admission routes1
Has abstractyes

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