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Deformation Behavior and Microstructure Evolutions in Ti-6Al-4V Extrusion

2003· article· en· W2004451254 on OpenAlex
Nho Kwang Park, Jong Taek Yeom, Y.S. Na, J.S. Lee, In Ok Shim, Seungki Hong

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 forum · 2003
Typearticle
Languageen
FieldMaterials Science
TopicTitanium Alloys Microstructure and Properties
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsMaterials scienceMicrostructureExtrusionDeformation (meteorology)MetallurgyComposite materialTitanium alloyAlloy

Abstract

fetched live from OpenAlex

The metal-forming behavior and microstructure evolution in Ti-6Al-4V during backward extrusion for tube making are investigated. 2-D FE simulation was used. Dynamic materials model (DMM) including instability criterion and the modified Cockcroft-Latham criterion were employed to predict the forming defects and to predict the crack formation inside or outside the extruded tube. The soundness and microstructure of the backward-extruded tubes are affected by process parameters, such as billet temperature, extrusion speed, die geometry and temperature, lubrication and heat transfer conditions. Local microstructures in the deformed tubes were simulated based on the specimen-base compression tests in relation to the process parameters. The simulation results for the backward extrusion were compared with the experimental observations. The die chilling and deformation heating showed a great influence on the deformation mode and the evolution of microstructures. The changes and non-uniformities in the microstructure of extruded tubes were attributed to non-uniform distribution of strain and temperatures in the extruded tubes for the given test conditions.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.984

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.228
Teacher spread0.220 · 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