MétaCan
Menu
Back to cohort
Record W2080987520 · doi:10.1179/cmq.2003.42.1.97

Microstructural Evolution and Strength in Hot Working of ZK60 and other Mg Alloys

2003· article· en· W2080987520 on OpenAlexfundno aff
H.J. McQueen, М. M. Myshlyaev, A. Mwembela

Bibliographic record

VenueCanadian Metallurgical Quarterly · 2003
Typearticle
Languageen
FieldMaterials Science
TopicMagnesium Alloys: Properties and Applications
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaRussian Foundation for Basic Research
KeywordsMaterials scienceMetallurgy

Abstract

fetched live from OpenAlex

The microstructures close to the gauge surface were observed by optical and transmission electron (TEM) microscopy in ZK60 (Mg-5.7Zn-0.65Zr) and in AZ31S (Mg-2.8Al-0.9Zn) after torsion testing over 180–450 °C and 0.01 to 1.0 s−1. The flow curves rose rapidly to a peak stress which was lower as temperature T rose and strain rate declined. At or below 240 °C, the stress fell rapidly to fracture but at or above 300 °C the curves descended less rapidly and extended into plateaus until failure. Clearly, grains that are not oriented for slip undergo twinning in the initial stages (ϵ ≤ 0.15) at all temperatures and some grains undergo the process as they rotate with strain. Basal slip proceeds in suitable grains and in the early formed twins leading to planar arrays. The stress concentrations at grain boundaries and in twins especially near intersections lead to slip on non-basal systems and to the formation of subgrains with greater dynamic recovery at higher T and lower ϵ. With increasing strain, misorientation builds up resulting in dynamic recrystallization (DRX), first at twin intersections with very fine cells and later at grain boundaries which have become quite serrated. Even after extensive straining at high temperatures, the new grains are found mainly as thick necklaces along the boundaries of the original grains leaving their centers with only basal slip; however, grains that twinned are likely to become completely replaced because of nucleation at twins.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.727
Threshold uncertainty score0.979

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 head0.013
GPT teacher head0.208
Teacher spread0.195 · 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

Citations23
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Metallurgical QuarterlySame topicMagnesium Alloys: Properties and ApplicationsFrench-language works237,207