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Record W4385614880 · doi:10.1111/ffe.14119

Effect of stress‐relieved heat treatment on very high cycle fatigue performance of additive manufactured Ti‐6Al‐4V alloy

2023· article· en· W4385614880 on OpenAlexafffund
Md Mehide Hasan Tusher, Ayhan Ince

Bibliographic record

VenueFatigue & Fracture of Engineering Materials & Structures · 2023
Typearticle
Languageen
FieldEngineering
TopicAdditive Manufacturing Materials and Processes
Canadian institutionsConcordia University
FundersCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceAlloyFatigue testingMicrostructureTitanium alloyMetallurgyDurabilityLow-cycle fatigueStress (linguistics)Fatigue limitFusionComposite material

Abstract

fetched live from OpenAlex

Abstract Laser powder bed fusion (L‐PBF) technique is utilized in various industries to create intricate designs. The durability of L‐PBF components should be evaluated when subjected to different load cycles to widen their applicability in other fields. While previous studies have mostly concentrated on static and low cycle loads, high cycle and very high cycle loadings are crucial in many applications. This study examines the impact of stress‐relieved (SR) heat treatment on very high cycle fatigue (VHCF) performance of L‐PBF Ti‐6Al‐4V alloy. The SR heat treatment enhanced the VHCF response of the alloy by lowering defect levels and their size along with changing the microstructure, thus demonstrating their increased versatility for wider industrial applications.

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 categoriesMeta-epidemiology (narrow)
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 score0.606
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
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 head0.007
GPT teacher head0.224
Teacher spread0.217 · 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.

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

Citations15
Published2023
Admission routes2
Has abstractyes

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