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Record W2041007420 · doi:10.1088/0965-0393/15/8/006

Modeling the influence of grain-level matrix inhomogeneity on strain localization in the presence of hard particles

2007· article· en· W2041007420 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueModelling and Simulation in Materials Science and Engineering · 2007
Typearticle
Languageen
FieldEngineering
TopicMetal Forming Simulation Techniques
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaGeneral Motors of Canada
KeywordsMaterials scienceShear bandMatrix (chemical analysis)Shear (geology)Finite element methodDeformation (meteorology)Composite materialMetalCondensed matter physicsPhysicsThermodynamicsMetallurgy

Abstract

fetched live from OpenAlex

The influence of grain-level matrix inhomogeneity on strain localization in sheet metals has been studied using a two-dimensional plane stress model containing two hard particles by finite element analysis. When the matrix material is treated as a homogeneous continuum, the localization strain decreases with interparticle spacing for particles aligned along the loading direction. In the case of an inhomogeneous matrix, consisting of grains of different Taylor factors corresponding to different crystallographic orientations, the position of the localization band and the value of localization strain seem to be insensitive to the interparticle spacing. Instead, localization forms preferentially in the softer grains within the matrix. The amount of post-localization deformation decreases significantly when the two particles straddle the shear band. It is concluded that the stress concentration that develops between two closely spaced particles does influence the shear localization process but the matrix inhomogeneity dominates localization behavior during sheet metal deformation.

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)0.003
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score0.230

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.038
GPT teacher head0.277
Teacher spread0.239 · 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