ISIS Neutron and Muon Source Data Journal

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.


Adsorption Structures of Organics additives at the Iron/Oil Interface and the Role of Water

Abstract: Numerous chemical additives have been added to steel surfaces to improve adhesion, and prohibit corrosion if the substrate is reactive to its surrounding environs. This experiment will investigate the monolayer structures of key adsorbates, that are known (from our experiments) to adhere well to an iron surface and act as adhesion promotors, and corrosion inhibitors. The adsorbates are chosen as a key reagent in the coatings industry, and/or as a key functional groups with particular affinity to the iron surface.. To capture the key behaviour of the additives at the ‘steel’-oil interface, the additives are to be adsorbed from ‘dry’ oil. Then the changes in additive behaviour in ‘wet’ oil will be investigated to observe the role of water in the additive adhesion process.

Principal Investigator: Professor Stuart Clarke
Local Contact: Dr Rebecca Welbourn
Experimenter: Mr Jeffrey Poon
Experimenter: Miss Fahmida Khan
Experimenter: Miss Anke Krautsieder
Experimenter: Dr David Madden
Experimenter: Mr Fin Allen
Experimenter: Dr Mary Wood

DOI: 10.5286/ISIS.E.RB1820335

ISIS Experiment Number: RB1820335

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.99689162 POLREF 30 November 2021 Download

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
Select the data format above to find out more about it.

Data Citation

The recommended format for citing this dataset in a research publication is as:
[author], [date], [title], [publisher], [doi]

For Example:
Professor Stuart Clarke et al; (2018): Adsorption Structures of Organics additives at the Iron/Oil Interface and the Role of Water, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1820335

Data is released under the CC-BY-4.0 license.



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