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.
Hydrophilic Melt Additive Segregation in Polyolefins
Abstract: Small molecule additives are used in melt processing, sometimes to lubricate extrusion or to provide bespoke hydrophilic surfaces. Both applications require the additive to migrate to the film surface during or shortly after extrusion, which is often challenging and rarely efficient. We are studying this process for a model amphiphilic additive which migrates to LDPE surfaces rendering them more hydrophilic. In this present experiment, we want to better understand the role of process temperature & crystallinity on surface segregation. Neutron reflection is the only method to determine surface segregation of the additive in the melt state. We will use this technique to determine melt segregation to compare to the segregation which we use on semicrystalline (below Tm) state. Ultimately we will feed results into theory and computational models to provide a toolkit to predict migration
Principal Investigator: Dr Richard Thompson
Experimenter: Mr Matthew Litwinowicz
Experimenter: Mr Colin Gibson
Local Contact: Dr Rebecca Welbourn
Experimenter: Dr Ophelie Squillace
Experimenter: Miss Rebecca Fong
Experimenter: Dr James Hart
DOI: 10.5286/ISIS.E.RB1910298
ISIS Experiment Number: RB1910298
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.101138606 | INTER | 18 March 2022 | Download |
10.5286/ISIS.E.RB1910298-2 | INTER | 01 March 2022 | 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:
Dr Richard Thompson et al; (2019): Hydrophilic Melt Additive Segregation in Polyolefins, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1910298
Data is released under the CC-BY-4.0 license.