Development of a method to measure the moderator temperature distribution in a CANDU reactor
Bibliographic record
Abstract
CANDU, Canada Deuterium Uranium, represents the power reactor system using natural uranium as a fuel, and heavy water as a coolant and a moderator of the reactor. The moderator is used to slow neutrons to increase fission probability in the fuel, and act as a heat sink for reactor accident situation. Due to irradiative heating of any material present, the measurement of the temperature ability in reactor operation is difficult. The Vertical Flux Detector assembly (VFD) could be used to measure the moderator temperature. The experiments were carried out to determine the heat transfer characteristics of the VFD by using the test cell duplicated from a small section of the VFD with electrical heating to simulate the irradiative heating in the reactor core. A number of parameters were analyzed to determine their effects on the measurement technique. A numerical calculation using FLUENT was applied to determine the temperature profile in the VFD correlated with its heat transport characteristics. It was found that the temperature difference between the moderator and the positions in the detector wells of the electrical heaters was directly proportional to the internal heat generation rate. The temperature distribution along the detector wells could be used to determine the irradiative heating in the station reactor moderator.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".