Possible On-Line Methods of Removing Oxide Deposits from Inside Steam Generator Tubes
Bibliographic record
Abstract
In an attempt to find an on-line method to remove oxide deposited during normal operation on the primary side of a steam generator, a series of experiments was undertaken in a high temperature recirculating autoclave system. Alloy-600 steam generator tubes removed from a CANDU nuclear reactor were monitored on-line with a gamma spectrometer and the effects on them of transients in pH, oxidizing condition of the coolant and temperature, alone and in combination, were attempted. Only a chemical process—the addition of a mixture of ethylenediaminetetraacetic acid (EDTA) and citric acid—was effective in removing radioactivity and, therefore, oxide. Dans un effort pour trouver une méthode en ligne pour extraire l'oxyde déposé lors du fonctionnement normal sur le côté primaire d'un générateur de vapeur, une série d'expériences ont été entreprises dans un autoclave à recirculation à températures élevées. Des tubes de générateur de vapeur d'alliage de type 600 retirés d'un réacteur nucléaire CANDU ont été surveillés en continu avec un spectromètre gamma, et on a tenté d'étudier les effets sur ces derniers des transitoires dans le pH, la condition oxydante du réfrigérant et de la température, seuls et en combinaison. Seul un procédé chimique, soit l'ajout d'un mélange d'acide éthylènediamine-tétraacétique (EDTA) et d'acide citrique, est efficace pour retirer la radioactivité, et par conséquent l'oxyde.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".