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Record W2475020122

Investigation of the crack front shape effect on the DCPD technique – application to the crack propagation under hold-time conditions in DA Inconel 718

2016· article· en· W2475020122 on OpenAlexaff
Emmanuel Fessler

Bibliographic record

VenueECF21 · 2016
Typearticle
Languageen
FieldEngineering
TopicFatigue and fracture mechanics
Canadian institutionsSafran Electronics (Canada)
Fundersnot available
KeywordsInconelFracture mechanicsMaterials scienceCrack closureStructural engineeringTurbine bladeSuperalloyParis' lawCrack growth resistance curveFinite element methodTurbineMechanicsComposite materialEngineeringMechanical engineeringPhysicsAlloy
DOInot available

Abstract

fetched live from OpenAlex

Aeroengines manufacturers have to demonstrate that critical components such as turbine disks meet the certification requirements in terms of fatigue crack propagation life, under sinusoidal loading, using the damage tolerance approaches. In order to be more representative of in-service loading conditions, this study will focus on the effect of hold-time at maximum load, involved during trapezoidal cycles, on the crack propagation behaviour of DA Inconel 718, a nickel-based superalloy widely used for turbine disk manufacturing. Crack propagation tests under hold-time have been performed both on SEN- and KB-type specimens, at 550°C and 650°C and for various hold-times (300s up to 3600s), as well as fatigue crack propagation tests (2Hz). Crack length was monitored using the direct current potential drop technique (DCPD). Hold-time cycles lead to increased crack growth rates depending on the hold-time duration, when compared to sinusoidal cycles. Under fatigue loading, transgranular fracture is observed whereas it is intergranular under hold-time conditions. Moreover, a strong crack front curvature is observed under hold-time conditions when compared to fatigue loading (Figure 1-a), undepending on specimen geometry. This is usually observed under hold-time conditions and is often neglected while analysing crack growth rates derived from PD signal. Using finite elements method (FEM), first, calibration functions of the DCPD technique were identified for ideal crack front shapes: straight for SEN and half-circular for KB-type specimens (as observed under fatigue loading). Similar calculations were carried out based on real crack front shapes, reproduced from fracture surfaces obtained under hold-time conditions (Figure 1-b). The macroscopic curvature and the microscopic “saw-teeth” aspect of the crack (Figure 2) front were taken into account in the calibration process. It is demonstrated that small approximations in the crack front shape have a strong effect on the identified calibration functions. It also affects the stress intensity factor which has then been re-computed. This procedure was used to re-analyse crack propagation test results under hold-time conditions, which usually lead to non-ideal crack front shape. The hold-time effect is often associated with the concept of a damaged zone ahead of the crack tip, due to a damaging effect of environment during the hold time. Experimental attempts to reveal this zone were carried out by performing, on the same sample, crack propagation under hold-time conditions followed by fatigue loading. A transient state is observed in the da/dN-ΔK curves obtained during the fatigue step. The crack growth increment before it reaches a stabilized state is associated to the size of the damaged zone. Analysing these tests using non-idealized calibration functions showed that the damaged zone is mostly related to the “unfolding” of the (neglected) crack curvature. It is believed that the size of the damaged zone, defined as the volume of material affected by environment at the crack tip, cannot be measured using the DCPD technique. This very local phenomenon may lead to an uneven, curved and tortuous crack front which will give rise to local high crack growth rates detected by the DCPD technique.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.010
GPT teacher head0.210
Teacher spread0.200 · 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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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