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Fracture Property Correlation of Rheocast (EMS) and Thixocast 6061 Aluminium Alloy

2014· article· en· W2039339350 on OpenAlexaff
S. K. Singh, Prosenjit Das, K. Chattopadhyay, Pradip Dutta

Bibliographic record

VenueDiffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena · 2014
Typearticle
Languageen
FieldEngineering
TopicAluminum Alloy Microstructure Properties
Canadian institutionsCanadian Society of Intestinal Research
Fundersnot available
KeywordsMaterials scienceAlloyFracture (geology)Ultimate tensile strengthCastingAluminiumMetallurgyPorosityAluminium alloyComposite materialDie castingPhase (matter)

Abstract

fetched live from OpenAlex

The present study has been taken up to establish fracture property correlation of the semi solid processed 6061 aluminium alloy. Electro Magnetic Stirring (EMS) has been performed to get non-dendritic billets and then the alloy has been thixocast using a High pressure die casting machine. Tensile tests have been performed to estimate mechanical properties of the semi solid processed alloy. Fracture behaviour of the alloy has been investigated at the intermediate EMS cast state and subsequent final thixocast state, employing uniaxial tensile tests at 0.001s-1strain rate and at room temperature. Fracture surface morphology of the EMS cast state shows that the presence of micro porosity is responsible for crack initiation and final fracture. Our results confirm that the dimpled rupture of primary Al phase is responsible for improved mechanical properties in the thixocast state of the alloy.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.247
Teacher spread0.227 · 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".

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Citations1
Published2014
Admission routes1
Has abstractyes

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Same venueDiffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomenaSame topicAluminum Alloy Microstructure PropertiesFrench-language works237,207