This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.
Characterising the corrosion/inhibition mechanisms of iron in different environments.
Abstract: Offshore structures such as wind turbines and oil rigs generally comprise steel structures—essentially ferritic iron—and are extremely prone to corrosion, a problem that causes huge expenditure and often the use of noxious chemicals in an attempt to prevent it. Whilst various theories have been offered as to how to limit the corrosion process, the actual mechanism of corrosion and its dependence on the particular ionic species present remain poorly understood. Better understanding of the corrosion mechanisms and dependence on different environments and ion concentrations, as well as the mechanisms of inhibition offered by various potential inhibitors are badly needed to mitigate this problem in future. This proposal aims to use neutron reflectometry to characterise these corrosion and inhibition mechanisms whilst simultaneously characterising adsorbed additive layers in situ.
Principal Investigator: Dr Mary Wood
Experimenter: Mr Jeffrey Poon
Local Contact: Dr Rebecca Welbourn
Experimenter: Dr David Madden
Experimenter: Professor Stuart Clarke
DOI: 10.5286/ISIS.E.RB1710233
ISIS Experiment Number: RB1710233
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.84794399 | OFFSPEC | 15 March 2020 | Download |
10.5286/ISIS.E.87841707 | OFFSPEC | 23 November 2020 | Download |
10.5286/ISIS.E.89608857 | CRISP | 29 November 2020 | Download |
Publisher: STFC ISIS Neutron and Muon Source
Data format: RAW/Nexus
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Data Citation
The recommended format for citing this dataset in a research
publication is as:
[author], [date], [title], [publisher],
[doi]
For Example:
Dr Mary Wood et al; (2017): Characterising the corrosion/inhibition mechanisms of iron in different environments., STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1710233
Data is released under the CC-BY-4.0 license.