Corrosion Performance of Candidate Materials for Canadian Gen IV Supercritical Water Cooled Reactor
Bibliographic record
Abstract
Nuclear power plants have been an important source of energy in many countries for the last fifty years.The Canadian supercritical water cooled reactors (SCWR), among the Generation IV reactors, are currently being designed in Canada and many other countries.It presents challenges for many scientists and engineers due to the harsh environment in which the reactor must operate and the lack of knowledge of material's performance in this corrosive conditions of high temperature and pressure.This thesis entails the corrosion testing of four candidate materials, two nickel based alloys (IN 625 and A-286) and two stainless steels (AISI 304 and AISI 310), and microstructure evaluation of samples after being exposed to supercritical water (SCW), subcritical water (SubCW), and superheated steam.Samples were ground to 600 grit finish and placed in an autoclave and a superheated steam rig to a maximum of three thousand hours and one thousand hours respectively.Procedures, based on the manufacturer's manuals, were created for the setup and operation of all the equipment.The temperature of all three tests was set to 625 o C with a pressure of 29 MPa (SCW), 8 MPa (subcritical water) or ambient (superheated steam).The surface morphology and composition were analyzed using scanning electron microscope (SEM) imaging and energydispersive X-ray spectroscopy (EDS).Results from this study show a poor corrosion performance, in terms of surface oxide formation and weight change, for A-286 and AISI 304 in all conditions due to their low chromium content.AISI 310 and IN 625, with higher chromium content, exhibit an excellent corrosion resistance in almost all conditions, except for the superheated steam test where oxide spallation may have
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".