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Record W2375574568

Finite Element Analysis of Craft Parameter Influence on FVS0812 Aluminum Alloy Sheet Hemispheroid Drawing Forming

2008· article· en· W2375574568 on OpenAlex
Jiang Heng-he

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

VenueNatural Science Journal of Xiangtan University · 2008
Typearticle
Languageen
FieldEngineering
TopicMetallurgy and Material Forming
Canadian institutionsGeological Survey of Canada
Fundersnot available
KeywordsMaterials scienceFinite element methodLubricationAluminiumFracture (geology)Enhanced Data Rates for GSM EvolutionDeformation (meteorology)Composite materialForming processesDeep drawingAlloyStress (linguistics)MoldMetallurgyStructural engineeringEngineering
DOInot available

Abstract

fetched live from OpenAlex

The impact of different temperature combination,pressure pad force and friction coefficient on FVS0812 heat resisting aluminum alloy hot drawing forming process was investigated numerically employing the finite element analysis software DEFORM3D and experimentally using the hemispheroid warm forming tests.The results show that the largest strain area appears in 1/4~1/3 of the raised mold radius in the drawing process,and the critical Damage value is 0.24 when fracture occurred.The results also demonstrate that the preferred temperature is likely to be built in workpiece deformation area by employing the cold mold,hot workpiece and the pressure edge marked with a circle,leading to the smooth strain distribution for the workpiece.Furthermore,decreasing the pressure edge force results in the reduction of fracture risk,and the good lubrication also improves the strain and the stress distributions.Excellent agreement is observed between the numerical result and the experiment for the Damage area prediction.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.009
GPT teacher head0.209
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