ISIS Neutron and Muon Source Data Journal

Gasoline particulate filter (GPF) neutron tomography imaging studies using IMAT

Abstract: Particulate matter emitted from internal combustion engines has been shown to be harmful to human health, and is also damaging to the environment. Recently, legislation has been introduced that limits both the mass and number of particulate emissions that an engine may produce. To meet the new legislation, future gasoline vehicles will be need to be fitted with a filtration system similar to that already used on diesel vehicles, but known as a gasoline particulate filter (GPF). Differences in gasoline and diesel combustion products mean that these new GPFs need to be optimised for key properties such as low pressure drop combined with high particulate filtration and catalyst activity. One of the main challenges with GPFs is characterising and measuring global particulate distribution after it is trapped on the filter. Neutron tomography can be used to see and measure these particles.

Principal Investigator: Dr Hamish Cavaye
Local Contact: Dr Winfried Kockelmann
Experimenter: Dr Paul Collier
Experimenter: Professor Triestino Minniti
Experimenter: Dr Andrew York

DOI: 10.5286/ISIS.E.RB1820352

ISIS Experiment Number: RB1820352

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 Hamish Cavaye et al; (2019): Gasoline particulate filter (GPF) neutron tomography imaging studies using IMAT, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1820352

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