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Record W2083112826 · doi:10.1080/14786430310001612184

Quantitative determination of secondary slip in copper single crystals deformed in tension

2004· article· en· W2083112826 on OpenAlexaff
Z. S. Basinski, S.J. Basinski

Bibliographic record

VenueThe Philosophical Magazine A Journal of Theoretical Experimental and Applied Physics · 2004
Typearticle
Languageen
FieldMaterials Science
TopicMicrostructure and mechanical properties
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSlip (aerodynamics)Slip line fieldCritical resolved shear stressMaterials scienceShear stressShear (geology)Frank-Read SourceGeometryCrystallographyMechanicsComposite materialPhysicsChemistryMathematicsDislocationThermodynamicsPartial dislocationsShear rate

Abstract

fetched live from OpenAlex

To determine the amount and type of secondary slip, the full deformation matrix was calculated from current orientation and shape measurements at successive strain intervals for copper crystals of various orientations deformed in tension at room temperature. The data for diverse orientations within the standard triangle are remarkably similar and represent a combination of response to internal stress and applied stress. Internal stress due to primary edge dislocations is relieved by the same combination of secondary shears in all orientations, two particular Lomer–Cottrell reactions plus a shear on the cross-glide plane giving zero residual stress. Analogous sets of shears occur to relieve internal stresses arising from conjugate glide after overshoot ends, and coplanar glide in orientations close to [111]–[110]. This type of slip, not visible at the surface, is termed microscopic secondary slip. Deviations from this microscopic secondary glide are always in the direction of applied stress. Except for the special case of positive and negative cross-slip, secondary slip lines visible at the surface, termed slip-line slip, represent slip occurring in response to applied stress.

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 score0.088
Threshold uncertainty score0.322

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 communication0.0000.000
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 head0.020
GPT teacher head0.262
Teacher spread0.242 · 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

Citations25
Published2004
Admission routes1
Has abstractyes

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