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Record W2080040060 · doi:10.4314/gjs.v47i1.15928

Natural Aging Behaviour Of AA6111 Aluminium

2008· article· en· W2080040060 on OpenAlexafffund
G. K. Quainoo, S. Yannacopoulos

Bibliographic record

VenueGhana Journal of Science · 2008
Typearticle
Languageen
FieldEngineering
TopicAluminum Alloy Microstructure Properties
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan Campus
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIntermetallicMicrostructureMaterials scienceAluminiumUltimate tensile strengthMetallurgyFormabilityAlloyDifferential scanning calorimetryIndentation hardnessAluminium alloyPhysicsThermodynamics

Abstract

fetched live from OpenAlex

In the continuing drive for weight reduction in new automobile designs, the 6000 series aluminium alloys have emerged as the most promising age-hardenable body sheet material in the automotive industry. Currently, one of the body sheet alloys used for its combination of strength and formability in the (T4) temper is AA6111, an Al-Mg-Si-Cu alloy. The T4 behaviour of AA6111 has been investigated by means of tensile testing, microhardness measurements, differential scanning calorimetry (DSC), scanning electron microscopy (SEM), and X-ray analysis. The results show that AA6111 attains a monotonic strength after approximately 120 h of natural aging. The microstructure consists of an aluminium matrix and angular intermetallic particles containing mainly Al, Fe, Cu, Si and Mn dispersed within the microstructure. The intermetallic particles are found to possess a structural formula of the type AlxFeSi. Compared with other 6xxx series of alloys under the same T4 condition, AA6111 shows superior strength properties. Natural aging is observed to affect the kinetic reaction of AA6111.Dans la campagne continue pour la réduction en poids dans le nouveau modèle d\' automobile, les séries 6000 d\' aluminium en alliage ont émergé comme le matériau de feuille de carrosserie la plus prometteuse endurcirable avec l\'âge dans l\'industrie de l\' automobile. Actuellement, l\' un d\' alliage de feuille de carrosserie utilisé pour sa combinaison de solidité et formabilité dans la trempe (T4) AA6111 un alliage de Al-Mg-Si- Cu. Dans cet article, le comportement T4 de AA6111 a été étudié au moyen de l\'essai de traction, l\'évaluation de microdureté, la calorimétrie de balayage différentiel (CBD), la microscopie électronique à balayage (MEB) et l\'analyse radioscopique. Les résultats montrent que AA6111 atteint une solidité monotone après approximativement 120 h de vieillissement naturel. La microstructure consiste d\'une matrice d\' aluminium et les particules intermétalliques angulaires contenant principalement Al, Fe, Cu, Si, Mn dispersés dans la microstructure. Les particules intermétalliques sont trouvées de posséder une formule structurelle du type Alx Fe Si. Comparé avec d\' autres séries d\' alliage de 6xxx sous la même condition de T4, AA6111 montre les propriétés de solidité supérieure. Les vieillissement naturel est observé d\' influer sur la réaction cinétique de AA6111. Ghana Journal of Science Vol. 47 2007: pp. 91-100

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 score0.053
Threshold uncertainty score0.351

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 studies0.0000.001
Scholarly communication0.0000.001
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 head0.011
GPT teacher head0.211
Teacher spread0.200 · 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

Citations3
Published2008
Admission routes2
Has abstractyes

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