Effect of Nickel Content on the Corrosion Behaviour of Stainless Steel at 80 °C
Bibliographic record
Abstract
A range of Fe-Cr-Ni alloys are used in nuclear power plants due to their high mechanical strength and corrosion resistance. As a major component of these alloys, Ni contributes to the formation of austenite microstructures. In many nuclear reactor applications the alloys are exposed to ionizing radiation (g-rays) that can continuously decompose water to a range of highly redox active species (such as •OH, H 2 O 2 , O 2 ). The change in water chemistry induced by radiation can affect both the general and localized corrosion behaviour of these alloys. In particular, its influence on the susceptibility of an alloy to localized corrosion such as crevice and stress corrosion cracking (SCC) are important for assessment of reactor component aging. As well, corrosion products that dissolve into the reactor coolant can be transported to the reactor core where they can be neutron activated. This can create a radiological hazard for reactor maintenance personnel. Thus, quantifying the rate of general corrosion and the corrosion product transport in a reactor are important safety, operation and maintenance issues. It has been well established that the type of oxide that forms on a surface is a critical factor in determining both general and localized corrosion behaviour. Both alloy composition and water chemistry affect the type of oxide that forms. Systematic studies that examine the effect of alloy composition on corrosion are rare and those available have been conducted mostly from a metallurgical perspective. There are even fewer studies that examine the combined effects of alloy composition and corrosion environment. A fundamental understanding of the mechanism by which the Fe to Ni ratio in a steel alloy influences the corrosion rate in different environments will provide valuable information that can be used for alloy selection and usage. We have investigated the effect of the Fe to Ni ratio of alloy on oxide formation and growth kinetics. For this study, customized steel alloys with different Ni contents and constant Cr content (18 ± 1 %) were prepared. The Ni content ranged from 15 to 25 wt.%, within the range between AISI 316L and Alloy 800 (Fig. 1). The corrosion kinetics was investigated using a combination of coupon corrosion tests and electrochemical measurements. These measurements were augmented by oxide surface and depth analyses using several spectroscopic and imaging techniques, and by post-test solution analyses for dissolved metal loss. We found that the oxide formed at pH 10.6 and 80 °C has a graded layer structure, consisting of a mixed spinel oxide (FeCr 2 O 4 /Fe 3 O 4 /NiFe 2 O 4 ) as an inner layer and Ni(OH) 2 as an outer layer. The increase in Ni content from 15 to 25 wt.% does not affect the inner layer but increases the thickness of the Ni(OH) 2 layer. The increase in Ni content also decreases the total amount of dissolved metal loss. Gamma-irradiation of the corroding system increases the corrosion potential on these alloys. Correspondingly, gamma-radiation accelerates the formation of passive oxide layers and decreases the overall rate of metal dissolution. The observed kinetics of oxide growth and metal dissolution can be explained by the competition kinetics of oxide growth and dissolution for oxidized metals. Figure 1
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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 | 0.003 | 0.001 |
| 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 | 0.000 |
| 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".