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Record W7020955172

Near-IR Laser Ablation of Simulated Radiologically Contaminated Oxides on Carbon Steel Feeder Pipes

2022· article· en· W7020955172 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRadioactive wasteHuman decontaminationContaminationOxideCarbon steelStripping (fiber)Cabin pressurizationCarbon fibers
DOInot available

Abstract

fetched live from OpenAlex

As nuclear power plants age and retire from service, many countries face significant challenges concerning the safe long-term storage and disposal of large volumes of low and intermediate level radioactive wastes (L&ILW). The volumes of metallic waste are of particular concern, as when metal corrodes it produces hydrogen that could lead to pressure build-up in interim storage and disposal. In Canada, a significant fraction of the metallic wastes for Canada Deuterium Uranium (CANDU) nuclear reactors are out-of-core reactor components, such as carbon steel (CS) feeder pipes. The radioactive contamination is expected to be largely confined to the surface oxide layers on these pipes. The removal of radiologically contaminated surface oxide layers from these materials could make the metallic wastes free-releasable, or at the least, convert them from intermediate level to low level waste. If the main concern is not the extension of their service lives, but safe decontamination and disposal of radioactive wastes, non-chemical methods such as mechanical abrasion or stripping using a laser or focused ion beam can efficiently remove radioactive surface oxides without generating additional wastes. The development and application of innovative surface decontamination technologies like laser ablation will reduce costs associated with transportation, storage, and waste minimization. The first objective of this thesis was to simulate oxides that form on CANDU reactor CS feeder pipe surfaces. The variability in the physical characteristics of oxides along the length of the feeder pipes has not been investigated thoroughly. In this thesis, combinations of different solution parameters (temperature, pH, γ-radiation, and ionic strength) were used to corrode CS samples to grow oxides with varying thickness, composition, and morphology. To simulate radiological contamination of feeder oxides, inactive Co2+ ions were used as a surrogate for the radioactive 60Co found in actual feeder oxides. After simulating oxides on CS samples, the subsequent objective was the optimization of operating parameters (laser irradiance, number of scans, pulse overlap, and cleaning angle) for an ytterbium doped fiber laser (1064 nm) for the laser cleaning of corroded CS samples. Laser cleaning tests demonstrated that laser irradiance was the most important operating parameter determining cleaning efficacy. At laser irradiances > 100 MW/cm2, the formation of a high temperature plasma ejects oxides as large fragments, resulting in the highest oxide removal efficiencies. A HEPA filter was used to collect the ablated oxides, and collection efficiencies of up to ~ 95% were observed for the highest-grade HEPA filter tested. The results in this thesis show that laser ablation using an ytterbium doped fibre laser (1064 nm) is a promising decontamination technique for radiologically contaminated CS feeder pipes.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.065
GPT teacher head0.261
Teacher spread0.196 · 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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueScholarship@Western (Western University)→Same topicBat Biology and Ecology Studies→French-language works237,207→