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Record W4409716863 · doi:10.1016/j.msea.2025.148388

Formability limits and fracture mechanisms in AA5182 Al-Mg sheets under room and cryogenic temperature conditions

2025· article· en· W4409716863 on OpenAlexafffund
John Magliaro, Amir Masoud Khodadadi Behtash, A.T. Alpas

Bibliographic record

VenueMaterials Science and Engineering A · 2025
Typearticle
Languageen
FieldEngineering
TopicMetal Forming Simulation Techniques
Canadian institutionsUniversity of WindsorUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsFormabilityMaterials scienceFracture (geology)MetallurgyForming limit diagramComposite material

Abstract

fetched live from OpenAlex

The formability of in-demand Al-Mg alloys, such as AA5182, is constrained by the Portevin-Le Chatelier (PLC) effect, which manifests as serrated plastic flow due to dynamic strain aging (DSA) from solute-dislocation interactions. This phenomenon contributes to the premature onset of necking (i.e., reduced ductility) and surface defects, hindering the broader application of these alloys in lightweight structural components. The formability limits and fracture mechanisms for AA5182 sheets subjected to uniaxial tension and Erichsen punch forming were investigated under room temperature (293 K) and cryogenic (77 K) conditions. The cryogenic tensile fracture strain and flow stress increased by 47 % and 91 %, respectively, the Considère necking criterion was globally satisfied and surface wrinkling was fully prevented. Cryogenic forming limit diagrams (FLDs) were obtained for the first time for AA5182 sheet material using the Erichsen punch tests. The major strain limits increased by 18 %, 43 % and 27 % for uniaxial (drawing), plane strain and biaxial stretching strain paths, respectively, compared to room temperature conditions. Optical microscopy of the through-thickness microstructure confirmed that PLC suppression at 77 K prevented unstable interactions with opposing shear planes, promoting more uniform strain distribution and sheet thinning. Scanning electron microscopy of the fractured edges revealed a higher frequency of dimple initiation sites and 29 % greater dimpled area post-forming under cryogenic conditions due to delayed fracture and correspondingly increased void formation and growth. The average post-forming surface roughness was also reduced (improved) by a factor of 5, representing the difference between Class B and Class A surface finishes. • First complete cryogenic forming limit diagrams (FLDs) at 77 K for AA5182 sheets. • Major strain limits from cryogenic, 77 K FLD increased up to 42 % compared to 293 K. • Portevin-Le Chatelier (PLC) bands suppressed; fracture delayed for cryogenic tests. • More even sheet thinning at 77 K since opposing PLC and shear planes were avoided. • Strain marks eliminated and post-forming surface roughness improved 400 % at 77 K.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.006
GPT teacher head0.233
Teacher spread0.228 · 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 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

Citations7
Published2025
Admission routes2
Has abstractyes

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