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Record W2916501758 · doi:10.1016/j.matdes.2019.107659

Effect of crystal orientation on indentation-induced residual stress field: Simulation and experimental validation

2019· article· en· W2916501758 on OpenAlexafffund
Simon Breumier, Aurélien Villani, Claire Maurice, Martin Lévesque, Guillaume Kermouche

Bibliographic record

VenueMaterials & Design · 2019
Typearticle
Languageen
FieldEngineering
TopicMetal and Thin Film Mechanics
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsMaterials scienceResidual stressIndentationAnisotropyCrystal (programming language)Crystal plasticityStress fieldStress (linguistics)Composite materialUltimate tensile strengthFinite element methodResidualField (mathematics)PlasticityStructural engineeringOptics

Abstract

fetched live from OpenAlex

Experimental determination of local residual stress fields beneath a spherical indent on a ⟨001⟩ copper single crystal revealed the presence of a significant tensile residual stress zone. This finding was adequately reproduced by Crystal Plasticity Finite Element simulations. Further simulations of one spherical indent on many other crystal orientations showed a strong variation of the residual stress field with crystal orientation. Accumulative effects of five superposing indents were simulated on two extreme orientations ⟨001⟩ and ⟨111⟩. The simulations showed that plastic anisotropy is responsible for potentially uneven compressive residual stresses after surface mechanical treatments.

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)0.001
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.271
Teacher spread0.255 · 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

Citations23
Published2019
Admission routes2
Has abstractyes

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