Quantification of Sub-Pixel Dynamics in High-Speed Neutron Imaging †

Martin L. Wissink; Todd J. Toops; Derek A. Splitter; Eric J. Nafziger; Charles E.A. Finney; Hassina Z. Bilheux; Louis J. Santodonato; Yuxuan Zhang

doi:10.3390/jimaging8070201

Quantification of Sub-Pixel Dynamics in High-Speed Neutron Imaging †

Martin L. Wissink, Todd J. Toops, Derek A. Splitter, Eric J. Nafziger, Charles E.A. Finney, Hassina Z. Bilheux, Louis J. Santodonato, Yuxuan Zhang

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

The high penetration depth of neutrons through many metals and other common materials makes neutron imaging an attractive method for non-destructively probing the internal structure and dynamics of objects or systems that may not be accessible by conventional means, such as X-ray or optical imaging. While neutron imaging has been demonstrated to achieve a spatial resolution below 10 μm and temporal resolution below 10 μs, the relatively low flux of neutron sources and the limitations of existing neutron detectors have, until now, dictated that these cannot be achieved simultaneously, which substantially restricts the applicability of neutron imaging to many fields of research that could otherwise benefit from its unique capabilities. In this work, we present an attenuation modeling approach to the quantification of sub-pixel dynamics in cyclic ensemble neutron image sequences of an automotive gasoline direct injector at a 5 μs time scale with a spatial noise floor in the order of 5 μm.

Original language	English
Article number	201
Journal	Journal of Imaging
Volume	8
Issue number	7
DOIs	https://doi.org/10.3390/jimaging8070201
State	Published - Jul 2022

Funding

This material is based on the work supported by the US Department of Energy (DOE), Office of Energy Efficiency and Renewable Energy, Vehicle Technologies Office via the Advanced Combustion Systems program. Special thanks to program managers Gurpreet Singh and Michael Weismiller for their support. The authors would like to acknowledge the contributions of Anton Tremsin at the UC Berkeley Space Sciences Laboratory to the development of the MCP detector, Jonathan Willocks at ORNL for assistance with the development of the spray apparatus and execution of the experiments, and Singanallur Venkatakrishnan at ORNL for valuable discussions on image filtering approaches. The authors would also like to acknowledge Scott Parish and Ronald Grover at General Motors for providing the injector and injector driver. This research used resources at the High Flux Isotope Reactor, a DOE Office of Science User Facility, and the National Transportation Research Center, a DOE Office of Energy Efficiency and Renewable Energy User Facility, both operated by the Oak Ridge National Laboratory. Support for DOI:10.13139/ORNLNCCS/1872748 dataset is provided by the U.S. Department of Energy, project IPTS-19037 under Contract DE-AC05-00OR22725. Project IPTS-19037 used resources of the Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.

Funders	Funder number
National Transportation Research Center
Office of Energy Efficiency and Renewable Energy, Vehicle Technologies Office
U.S. Department of Energy	DE-AC05-00OR22725, IPTS-19037
Office of Science
Office of Energy Efficiency and Renewable Energy
Oak Ridge National Laboratory

Keywords

gasoline direct injector
in situ
neutron imaging
operando
quantitative
sub-pixel

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10.3390/jimaging8070201

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abstract = "The high penetration depth of neutrons through many metals and other common materials makes neutron imaging an attractive method for non-destructively probing the internal structure and dynamics of objects or systems that may not be accessible by conventional means, such as X-ray or optical imaging. While neutron imaging has been demonstrated to achieve a spatial resolution below 10 μm and temporal resolution below 10 μs, the relatively low flux of neutron sources and the limitations of existing neutron detectors have, until now, dictated that these cannot be achieved simultaneously, which substantially restricts the applicability of neutron imaging to many fields of research that could otherwise benefit from its unique capabilities. In this work, we present an attenuation modeling approach to the quantification of sub-pixel dynamics in cyclic ensemble neutron image sequences of an automotive gasoline direct injector at a 5 μs time scale with a spatial noise floor in the order of 5 μm.",

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author = "Wissink, {Martin L.} and Toops, {Todd J.} and Splitter, {Derek A.} and Nafziger, {Eric J.} and Finney, {Charles E.A.} and Bilheux, {Hassina Z.} and Santodonato, {Louis J.} and Yuxuan Zhang",

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AU - Finney, Charles E.A.

AU - Bilheux, Hassina Z.

AU - Santodonato, Louis J.

AU - Zhang, Yuxuan

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KW - gasoline direct injector

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KW - sub-pixel

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Quantification of Sub-Pixel Dynamics in High-Speed Neutron Imaging †

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