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Record W2616608880

MICROSTRUCTURAL ANALYSIS OF HELIUM DISTRIBUTION IN NICKEL AND INCONEL X750

2016· dissertation· en· W2616608880 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUniversity Library - University of Saskatchewan (University of Saskatchewan) · 2016
Typedissertation
Languageen
FieldMaterials Science
TopicMetallurgy and Material Science
Canadian institutionsnot available
Fundersnot available
KeywordsInconelNickelHeliumMaterials scienceMetallurgyNuclear engineeringEngineeringPhysicsAtomic physicsAlloy
DOInot available

Abstract

fetched live from OpenAlex

Nickel alloys have found ever increasing use in the nuclear sector in recent times. Inconel X750 and other nickel-based alloys are used in the construction of reactor fuel channels. Thermal neutrons cause transmutation of nickel, and the nuclear reactions that take place within some nuclear reactor components result in the production of helium. Helium accumulation causes the swelling, reduces material strength and finally leads to failure. This project addresses two impact areas, viz., i) improving safety of nuclear energy systems and, ii) advancing knowledge on nuclear materials used in CANDU (Canada Deuterium Uranium) reactors. 
\nThe project discusses the experiments carried out on helium irradiated pure Ni and Inconel X750 alloy in order to understand void formation due to helium. SEM (Scanning Electron Microscope) and TEM (Transmission Electron Microscopy) analyses were carried out to establish a relationship between helium void formation and temperature. In addition, EBSD (Electron Backscattered Diffractometry) analysis was carried out to analyse the concentration of helium voids at various grain boundaries. 
\nThe project explains in detail the use of SPECTER code to calculate the gas production levels and DPA (displacement per atom) and SRIM (Stopping and Range of Ions in Matter) software, which was used to carry out the various calculations necessary to perform helium ion implantation experiments. As it was difficult to work with irriadted materials from the reactor on account of safety concerns, and also cost associated with working with heavily irradiated materials, the method of helium ion implantation was adopted for this project.
\nResults showed that at higher temperatures both irradiated pure Ni and Inconel X750 alloy showed accumulation of voids towards the grain boundaries. TEM and EDS (Energy Dispersive Spectroscopy) analysis on irradiated pure Ni confirmed the presence of voids near the grain boundaries. 
\nA statistical relationship was also established between the accumulation of voids and the grain boundary misorientation. It was found out that for both irradiated pure Ni and Inconel X750 alloy the concentration of voids increased with an increase in the grain boundary misorientation. This was due to more free volume available at higher angle grain boundaries.

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.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.696
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.005
GPT teacher head0.172
Teacher spread0.167 · 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