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Record W2050476056 · doi:10.1115/gt2009-59566

TiAl Intermetallics for Aerospace Applications: Fracture Resistance and Cracking Mechanisms

2009· article· en· W2050476056 on OpenAlexaff
Amar Kumar, Amiya Nayak, Alka Srivastava, Udit K. Roy, Prakash Patnaik

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIntermetallics and Advanced Alloy Properties
Canadian institutionsCarleton University
Fundersnot available
KeywordsMaterials scienceLamellar structureFracture toughnessMicrostructureIntermetallicCrackingFracture mechanicsMetallurgyComposite materialFracture (geology)ToughnessTitanium aluminideDeformation (meteorology)Crack growth resistance curveAlloyCrack closure

Abstract

fetched live from OpenAlex

Research on TiAl aluminides has been undertaken to further advance the understanding of deformation and fracture mechanisms, vis-a`-vis the heat treatment effects on microstructure, fracture resistance and cracking mechanisms. Two TiAl grades considered comprise of Al-Nb-Mn-Cr-Bal Ti with two different microstructures, namely duplex and lamellar types. The size of colonies in fully lamellar structure also varied widely from 50 micron to 700 microns. Fracture toughness and crack growth resistance are studied under three point bend loading of SEN specimens at room temperature and at higher temperatures (700 °C and 900°C). The fracture resistance behavior for the intermetallics is studied following two methods, namely fracture toughness and crack growth resistance curves (KI vs. Δa). An appreciable improvement (around 50 percent) at 700°C is observed as compared to room temperature data. The crack size analysis is done by elastic compliance method and a normalized compliance curve (NCC) with a power law function for the aluminides is obtained irrespective of temperature. The mechanism of crack initiation as well as crack growth in different microstructures of the alloy is looked into to get an insight of the deformation and cracking process. In lamellar microstructure, colony boundaries appear to be the most preferred path for the crack growth, while multiple cracking mechanisms is observed in duplex structure.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.922
Threshold uncertainty score0.429

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 head0.006
GPT teacher head0.217
Teacher spread0.210 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations0
Published2009
Admission routes1
Has abstractyes

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