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.


Combined SAXS and SANS analysis of strained composite materials

Abstract: The microscopic origins of strain softening (Payne Effect) are vital to our understanding of energy dissipation in vehicle tyres. This proposal builds on our recent SANS experiments in which we have identified the structure of a model silica in polybutadiene nanocomposite and the relationship to rheological behaviour. We have also quantified the extent of a glassy layer of polybutadiene at the silica interface. Here we propose to combine SANS and SAXS on cross-linked nanocomposites under strain, which will uniquely be able to identify the extent of polymer and silica network deformation respectively. SANS will use contrast labelled PB/dPB to detect chain stretching while SAXS will use the inherent contrast between the silica and the polymer to quantify deformation to the silica network. In each case 2d detectors will enable the anisotropy of the strained components to be resolved.

Principal Investigator: Dr Richard Thompson
Experimenter: Dr Victoria Garcia Sakai
Local Contact: Dr Sarah Rogers
Experimenter: Mr James Hart
Experimenter: Professor Nigel Clarke
Experimenter: Dr Stephen Boothroyd
Experimenter: Mr Alexander Schulz

DOI: 10.5286/ISIS.E.RB1620071

ISIS Experiment Number: RB1620071

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.82353681 SANS2D 17 October 2019 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; (2016): Combined SAXS and SANS analysis of strained composite materials, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1620071

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



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