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Precipitation hardening of AA2195 DC cast alloy

2014· article· en· W1969140899 on OpenAlexaff
E. M. Elgallad, Junjie Lai, X.-G. Chen

Bibliographic record

VenueCanadian Metallurgical Quarterly · 2014
Typearticle
Languageen
FieldEngineering
TopicAluminum Alloys Composites Properties
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsAlloyMaterials sciencePrecipitation hardeningHardening (computing)PrecipitationMetallurgyTransmission electron microscopyDifferential scanning calorimetryIngotComposite materialThermodynamicsNanotechnology

Abstract

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Direct chill cast ingot plates of AA2195 alloy have recently been used to manufacture large moulds for the plastic and automotive industries. The precipitation hardening behaviour of AA2195 direct chill cast materials was investigated using hardness measurements, differential scanning calorimetry and transmission electron microscopy. Aging treatments were performed at 125, 140 and 150°C for up to 96 h. The aging behaviour of the alloy varied significantly relative to the aging temperature. At 125°C, the alloy displayed a low age hardening rate related to the formation of GP zones and ultrafine θ″-Al2Cu precipitates. At 140°C, two different age hardening rates were observed, corresponding to the precipitation of θ″-Al2Cu phase during the early stages of aging and to the precipitation of both plate-like θ′-Al2Cu and T1-Al2CuLi phases over prolonged aging times. The kinetics of the aging process were accelerated at 150°C, and a strengthening effect was induced primarily by the θ′-Al2Cu and additionally by T1-Al2CuLi precipitates. These different aging behaviours enable the AA2195 direct chill cast alloy to provide a range of desirable combinations of mechanical properties, satisfying most design requirements for large mould applications.On a utilisé récemment des tôles d’alliage AA2195 de lingot de coulée semi-continue pour usiner des moules de grande taille pour l’industrie du plastique et de l’automobile. On a examiné le comportement de durcissement par précipitation de matériaux de coulée semi-continue d’AA2195 en utilisant les mesures de dureté, l’analyse calorimétrique différentielle et la microscopie électronique en transmission. On a effectué des traitements de vieillissement à 125, à 140 et à 150°C, jusqu’à une durée de 96 h. Le comportement de vieillissement de l’alliage variait significativement par rapport à la température de vieillissement. À 125°C, l’alliage exhibait une faible vitesse de durcissement par vieillissement reliée à la formation de zones GP et de précipités ultrafins d’θ″-Al2Cu. À 140°C, on a observé deux vitesses différentes de durcissement par vieillissement, correspondant à la précipitation de la phase θ″-Al2Cu durant les étapes initiales du vieillissement et à la précipitation des deux phases de type stratifié, θ′-Al2Cu et T1-Al2CuLi, à des durées prolongées du vieillissement. La cinétique du procédé de vieillissement s’accélérait à 150°C et un effet de renforcement était induit primairement par l’θ′-Al2Cu et en outre par les précipités de T1-Al2CuLi. Ces différents comportements de vieillissement permettent à l’alliage AA2195 de coulée semi-continue de fournir une gamme de combinaisons désirables de propriétés mécaniques, satisfaisant la plupart des exigences de conception pour applications dans les moules de grande taille.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.578
Threshold uncertainty score0.999

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 studies0.0000.000
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 head0.008
GPT teacher head0.179
Teacher spread0.171 · 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 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

Citations2
Published2014
Admission routes1
Has abstractyes

Explore more

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