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Record W2943917091 · doi:10.1088/1361-651x/ab20ae

Atomistic study of crack-tip plasticity in precipitation hardened monocrystalline aluminum

2019· article· en· W2943917091 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 · 2019
Typearticle
Languageen
FieldMaterials Science
TopicMicrostructure and mechanical properties
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of TorontoCompute Canada
KeywordsMaterials scienceMonocrystalline siliconAluminiumPrecipitationPlasticityCrystal plasticityPrecipitation hardeningMetallurgyComposite materialCrystallographySiliconMicrostructureMeteorology

Abstract

fetched live from OpenAlex

Abstract Understanding the atomistic mechanisms of dislocation-based plasticity ahead of a crack-tip in precipitation hardened alloys is a challenging problem due to the complexity of the interactions between the precipitates in the microstructure and the variety of defects nucleated at the crack-tip, such as dislocations, stacking faults and micro-twins. In this paper, we use classical molecular dynamics simulations to perform a comprehensive atomistic analysis of the factors that influence the motion of dislocations ahead of a crack-tip in precipitation hardened aluminum. Specifically, the effects of planar copper GPII zones on the motion of dislocations emitted at the crack-tip of an aluminum crystal in four different crystal orientations under constant strain-rate loading were investigated. By placing the precipitates close to the crack-tip, it was found that they did not affect the nucleation of the first dislocation significantly unless they were located immediately ahead. Moreover, in some crystal orientations, subsequent nucleations were appreciably delayed due to the shielding effect of the first dislocation interacting with the precipitate. Following emission, the interaction between the emitted dislocations and the precipitates consisted of different mechanisms, including shear cutting, Orowan looping, and cross-slip, depending on the crystal orientation. The resistance to dislocation motion caused by the precipitates was quantified by determining the interaction time between each dislocation and the precipitates. It was found that although the applied load in each unit cell was high, the dislocations could be significantly slowed down in some of the crystals. This resulted in less dislocation activity ahead of the crack-tip, especially in the crystals for which micro-twinning was the dominant driver of plasticity. The results of this work pave the way for the development of accurate models to predict the evolution of plasticity in metallic materials by providing a quantified assessment of dislocation motion in complex alloy microstructures.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.333
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.018
GPT teacher head0.233
Teacher spread0.215 · 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