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Record W4286663575 · doi:10.48550/arxiv.1906.00906

Effect of Grain Orientation and Local Strains on Void Growth and\n Coalescence in Titanium

2019· preprint· en· W4286663575 on OpenAlexfundno aff
Marina A. Pushkareva, Federico Sket, Javier Segurado, Javier Llorca, M. Yandouzi, Arnaud Weck

Bibliographic record

VenuearXiv (Cornell University) · 2019
Typepreprint
Languageen
FieldEngineering
TopicMetal Forming Simulation Techniques
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaHorizon 2020 Framework ProgrammeH2020 Marie Skłodowska-Curie ActionsMinisterio de Economía y CompetitividadEuropean Commission
KeywordsMaterials scienceVoid (composites)Coalescence (physics)CrystallographyTitaniumGrain boundaryMetallurgyAnisotropyGrain growthComposite materialGrain sizeMicrostructureOpticsChemistry

Abstract

fetched live from OpenAlex

Ductile fracture has been extensively studied in metals with weak mechanical\nanisotropy such as copper and aluminum. The fracture of more anisotropic\nmetals, especially those with a hexagonal crystal structure (e.g. titanium),\nremains far less understood. This paper investigates the ductile fracture\nprocess in commercially pure titanium (CP-Ti) with particular emphasis on the\ninfluence of grain orientation and local state of strain on void growth. An\nexperimental approach was developed to directly relate the growth of a void in\nthree dimensions to its underlying grain orientation. Grain orientation was\nobtained by electron back scattered diffraction on void-containing CP-Ti sheets\nprior to their diffusion bonding. Changes in void dimensions were measured\nduring in-situ straining within an x-ray tomography system. The strong\ninfluence of the embedded grain orientation and that of its neighbors on void\ngrowth rate and coalescence has been experimentally quantified. Finite element\ncrystal plasticity simulations that take into account both grain orientation\nand the local strain state were found to predict the experimental void growth.\nGrains where basal slip dominates show the largest void growth rates because\nthey are closer to a plane strain condition that favors void growth and\ncoalescence.\n

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score0.756

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 studies0.0000.000
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 head0.020
GPT teacher head0.189
Teacher spread0.169 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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