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Record W7029427696

Investigating the Microstructural Stability of Nanocrystalline Oxide Dispersion-Strengthened Alloys under Proton Irradiation by X-ray Line Profile Analysis

2025· dissertation· en· W7029427696 on OpenAlexfundno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2025
Typedissertation
Languageen
FieldMaterials Science
TopicFusion materials and technologies
Canadian institutionsnot available
FundersArgonne National LaboratoryNatural Sciences and Engineering Research Council of CanadaOffice of ScienceAustralian Nuclear Science and Technology OrganisationU.S. Department of Energy
KeywordsGrain boundaryNanocrystalline materialDislocationCrystalliteStacking faultIrradiationOxideAtom probeSuperalloy
DOInot available

Abstract

fetched live from OpenAlex

Nanocrystalline (NC) alloys contain unique defect structures compared to conventional Coarse-Grained (CG) alloys. NC alloys have smaller grains, and therefore higher Grain Boundary (GB) volume fraction, higher dislocation density and more ordered dislocation structures. Experimental and computational studies of NC alloys show improved resistance to degradation of material properties under irradiation due to increased point-defect (PD) sink densities. As a result, there is a reduced concentration of PDs available for clustering into higher-dimensional defects, which are chiefly responsible for the degradation of properties at the engineering scale. This work aims to experimentally validate the approach of limiting radiation damage by introducing pre-existing defect structures, as well as to gain a better understanding of the defect interactions that govern the thermodynamics and kinetics of irradiation-induced microstructural evolution. A Ni-based superalloy (Inconel 617, solution-annealed and aged) and two Oxide Dispersion-Strengthened (ODS) alloys, Ni and Fe-based (MA754 and MA957), are processed by High-Pressure Torsion (HPT), a form of Severe Plastic Deformation (SPD). Convolutional Multiple-Whole Profile (CMWP) analysis of high-resolution Xray diffraction (XRD) patterns reveals these sample to have dislocation densities on the order of 1016 m-2 and crystallite sizes of approximately 15 nm. Following low temperature (T < 0.35Tm) proton irradiation up to two displacements per atom (dpa), XRD experiments are repeated. Irradiation is found to cause partial annihilation of the dislocations created by HPT, with the mechanism of dislocation annihilation seemingly depending on crystal structure. Irradiation-induced grain growth, thought to be due to cascade-induced thermal spikes overlapping with grain boundaries, is observed in all samples. However, Inconel 617 exhibits “NC stability”, exemplified by a stable grain size with increasing dose – the greater NC stability of Inconel 617 agrees with earlier differential scanning calorimetry recrystallization experiments. XRD phase analysis suggests that the nanoscale oxide dispersions in MA754 and MA957 undergo ballistic dissolution due to low-temperature irradiation. Thus, they are unable to exert a Zener pinning force on mobile GBs to improve NC stability, nor can they serve as effective recombination sites for PDs, indicating that NC-ODS alloys do not show significant promise in the pursuit of material stability in extreme environments. The results suggest that NC stability is better approached by finetuning the alloy system to reduce GB energy. Finally, the irradiation-induced precipitation of α-Cr is found to occur in all Ni-based samples, with the effect being far more prevalent in MA754. Experimental evidence for radiation-induced segregation occurring concurrently with grain growth (previously investigated via phase-field models) is presented, with XRD revealing a grain size dependence on Cr concentration.

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), Insufficient payload (model declined to judge)
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 score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.199
Teacher spread0.192 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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