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Record W3117535536 · doi:10.22059/jufgnsm.2020.02.11

Significant grain refinement and enhanced mechanical properties of 6070 Al alloy via Ti/Sr addition and hot extrusion

2020· article· en· W3117535536 on OpenAlexaff
Masoud Emamy, Bita Pourbahari, Meysam Mostafapour

Bibliographic record

VenueJournal of Ultrafine Grained and Nanostructured Materials · 2020
Typearticle
Languageen
FieldEngineering
TopicAluminum Alloy Microstructure Properties
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMaterials scienceUltimate tensile strengthExtrusionAlloyEutectic systemMicrostructureBrittlenessMetallurgyHomogenization (climate)Grain sizeComposite material

Abstract

fetched live from OpenAlex

The effects of Al-5Ti-1B and Al-10Sr master alloys on the microstructure and tensile properties of extruded 6070 Al alloy have been investigated in current research. Different amounts of Al-5Ti-1B and Al-10Sr master alloys were added to provide 0.01-0.5 wt.% of each element (Ti/Sr) in the alloy before homogenization, extrusion and heat treatment process. After adding 0.03 wt.% Ti and 0.03 wt.% Sr to the alloy separately, reduction in the average grain size was found to be %83 and eutectic Si changed from needle shape to fine fibrous morphology. Although the combined addition of Al-5Ti-1B and Al-10Sr increased slightly the grain size of the alloy, there was a considerable improvement in tensile properties for the extruded and T6-heat treated specimens. Further improvement in tensile strength was achieved after T6 heat treatment for 0.1 wt% Sr + 0.03% Ti added specimens in which ultimate tensile strength (UTS) showed the highest value (410 MPa). Fracture surface examinations revealed that hot extrusion process changes the mode of fracture from brittle in the as-cast condition to a more ductile form.

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 score0.002
Threshold uncertainty score0.897

Codex and Gemma teacher scores by category

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

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 head0.010
GPT teacher head0.183
Teacher spread0.172 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Ultrafine Grained and Nanostructured MaterialsSame topicAluminum Alloy Microstructure PropertiesFrench-language works237,207