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

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

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations1
Published2003
Admission routes1
Has abstractyes

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