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Record W2304610833 · doi:10.14288/1.0166948

A study on the coupled effects of solute and grain size on the work hardening of fine- grained FCC alloys

2014· article· en· W2304610833 on OpenAlex
Ashkan Shadkam

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.

Bibliographic record

VenuecIRcle (University of British Columbia) · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced materials and composites
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGrain sizeWork (physics)Materials scienceWork hardeningHardening (computing)MetallurgyComposite materialMicrostructurePhysicsThermodynamics

Abstract

fetched live from OpenAlex

This thesis develops a physically based model for the work hardening of model (pure or solute strengthened) FCC alloys having grain sizes of between 2 μm and 100 μm. This model builds on a previous study of Sinclair et al. (2006) on fine-grained pure Cu and extends it to Cu16at%Ni, Cu50at%Ni and Cu1.5at%Al alloys. Through careful and systematic mechanical testing coupled with microstructural observations several basic hypotheses were tested. The yielding behaviour of fine-grained materials showed an extension of the elasto-plastic transition (over the generally accepted 0.002 offset strain) with decreasing grain size and increasing solute content. This resulted in Hall-Petch plots which showed that the grain size effect was more pronounced with increasing solute content. In all of the materials tested with a sufficiently fine grain size, the stress-strain plots showed an inflection (i.e. region of a low work hardening or “plateau”). While the work hardening rate dropped significantly in this portion of the test, image correlation was used to show that the drop in work hardening was not sufficient to cause strain localization. The stress-strain plots were differentiated and work hardening behaviour was analyzed using a Kocks-Mecking model. An important observation was that with increasing solute content from pure Cu to Cu50at%Ni, a grain size dependent separation between the work hardening plots appeared for tests performed at room temperature. This observation was initially hypothesized to be due to backstresses as proposed in the original model of Sinclair (Sinclair et al. 2006). This idea was tested using strain-rate sensitivity experiments. Strain-rate sensitivity tests showed that a single mechanism (forest hardening) controls the work hardening behaviour beyond the initial few percentage of straining. To unify all these experimental observations in a self-consistent work hardening model, the original Sinclair model was modified through the addition of a new variable, n*f , which accounts for additional dislocation storage by the forest dislocations blocked at grain boundaries. It was hypothesized that the effects of dislocation/grain boundary interactions on screening/annihilation of dislocations could be used to capture the initial high rate sensitivity at the “plateau” in the stress-strain curve of fine grained alloys.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.963
Threshold uncertainty score0.386

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 head0.005
GPT teacher head0.153
Teacher spread0.148 · 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