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Record W2017960417 · doi:10.1179/026708300101508036

Dynamic recrystallisation of D2 and W1 tool steels

2000· article· en· W2017960417 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.

Bibliographic record

VenueMaterials Science and Technology · 2000
Typearticle
Languageen
FieldEngineering
TopicMetallurgy and Material Forming
Canadian institutionsConcordia University
Fundersnot available
KeywordsMaterials scienceMetallurgyGrain sizeDynamic recrystallizationStrain rateNucleationCarbideKineticsGrain growthComposite materialThermodynamicsMicrostructureHot working

Abstract

fetched live from OpenAlex

Hot torsion continuous tests were performed on a high carbon, high chromium cold work die steel (D2) and a water hardenable carbon tool steel (W1) at strain rates of 0·1, 1, and 4 s-1 in the temperature ranges of 900 to 1150°C for D2 and 900 to 1200°C for W1. The stress–strain (σ–ɛ) curves rose to a peak stress σ p , then declined to a steady state value σ ss , typical of dynamic recrystallisation (DRX). The commencement and effective completion (99%) of DRX are obtained from θ–σ and σ–ɛ curves respectively where θ is the strain hardening rate dσ/dɛ. The kinetics of DRX are assumed to follow an Avrami equation whereas the time t ss for 99% DRX is related to σ ss and temperature by a sinh function. The equilibrium recrystallised grain size D s decreases with increase in σ ss and Z, the Zener–Hollomon temperature compensated strain rate. Due to the presence of carbides, which stimulate nucleation, D2 generally has faster DRX kinetics than W1.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.347

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 head0.197
Teacher spread0.193 · 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