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.
From polymer molecular architecture to lubrication efficacy and CO2 emission reduction
Abstract: In collaboration with Infineum (a world-leading engine-oil additive company), we propose a SANS study of self-assembly of novel polymethacrylate (PMA) block copolymers as a function of concentration and temperature. Preliminary SANS results for a diblock polymer architecture have revealed a core-shell micelle structure in a model oil (deuterated n-dodecane). Here different polymer architectures will be investigated (multiblock, diblock, random, and homo). The results will complement our ongoing interfacial structure and friction/lubrication studies using XRR and the surface force apparatus, in order to correlate their bulk structures with their surface adsorption behaviour. Such fundamental studies will assist rational design of future polymeric friction-modifying additives for mechanical lubrication, which is of immense environmental and economic importance in the UK and globally.
Principal Investigator: Professor Wuge Briscoe
Experimenter: Mr Michael Stevens
Experimenter: Dr Beatrice Cattoz
Experimenter: Professor Peter Dowding
Experimenter: Mr Nick Taylor
Local Contact: Dr Najet Mahmoudi
Experimenter: Miss Xueying Guo
DOI: 10.5286/ISIS.E.RB2010516
ISIS Experiment Number: RB2010516
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.RB2010516-1 | SANS2D | 01 March 2023 | 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:
Professor Wuge Briscoe et al; (2020): From polymer molecular architecture to lubrication efficacy and CO2 emission reduction, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2010516
Data is released under the CC-BY-4.0 license.