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An Experimental and Numerical Investigation of Non-isothermal Cup Drawing of a 7XXX-T76 Aluminum Alloy Sheet

2018· article· en· W2894236339 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIOP Conference Series Materials Science and Engineering · 2018
Typearticle
Languageen
FieldEngineering
TopicMetal Forming Simulation Techniques
Canadian institutionsUniversity of Waterloo
FundersHonda Development and Manufacturing of America
KeywordsMaterials scienceFormabilityIsothermal processMicrostructureAlloyComposite materialAnisotropyDeep drawingAluminiumMetallurgyHardening (computing)Ultimate tensile strengthThermodynamicsOptics

Abstract

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The 7000-series of aluminium alloys are an attractive material for anti-intrusion components in the car body-in-white due to their high specific strength and lower density. The limited room temperature formability of these alloys can be overcome through elevated temperature forming while controlling heat exposure to prevent changes to the microstructure such as over-aging. The present work details a comprehensive characterization of a developmental alloy, 7xxx-T76, for non-isothermal warm forming of a cylindrical deep drawn cup. Material anisotropy and a non-associated constitutive model were developed with the hardening response as a function of temperature and strain-rate. Friction was characterized at elevated temperature using a Warm Twist Compression Test apparatus developed at the University of Waterloo. Significant material anisotropy was observed in the tensile characterization results and during warm forming with the formation of eight ears in the deep drawn cups for a drawing ratio of 2.25. The predictions of the forming model were evaluated in terms of the earring profile, punch force, and surface strains from optical strain measurements using ARGUS.

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.

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 score0.039
Threshold uncertainty score0.604

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 communication0.0000.001
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 head0.014
GPT teacher head0.246
Teacher spread0.232 · 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