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NEURAP-A Dedicated Neutron-Imaging Facility for Highly Radioactive Samples.

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  • 1Laboratory for Neutron Scattering and Imaging, Paul Scherrer Institute, 5232 Villigen, Switzerland.

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|August 30, 2021
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Summary

NEURAP enables neutron imaging of highly radioactive samples using specialized Dy-loaded plates. This technique reveals material degradation in nuclear components and fuel rods, aiding in extending operational lifetimes.

Keywords:
NEURAPNEUTRASINQ—Swiss spallation neutron sourceleadneutron-imagingnuclear fuelradioactive specimenradiographyspallation targetzircaloy

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Area of Science:

  • Nuclear Engineering
  • Materials Science
  • Radiation Detection

Background:

  • Highly radioactive samples pose challenges for standard imaging techniques due to intense gamma radiation.
  • Existing instrumentation for neutron imaging of such materials is scarce worldwide.
  • The NEURAP setup at the Swiss neutron spallation source (SINQ) was developed to address these limitations.

Purpose of the Study:

  • To detail the NEURAP setup and its specialized procedure for neutron imaging of highly radioactive samples.
  • To present key applications of NEURAP in analyzing operational components and nuclear fuel.
  • To highlight the insights gained from quantitative image analysis regarding material degradation.

Main Methods:

  • Utilizing Dysprosium (Dy)-loaded imaging plates, sensitive to neutrons but not gamma rays.
  • Implementing a multi-step process involving neutron irradiation, gamma erasure, and delayed readout of neutron-induced signals.
  • Applying quantitative analysis to neutron radiographs of SINQ target components and spent nuclear fuel rods.

Main Results:

  • Accumulation of spallation products was identified in SINQ target components.
  • Aggregation of hydrogen was observed in spent nuclear fuel pins and their cladding.
  • Detailed characterization of material degradation in operational nuclear materials was achieved.

Conclusions:

  • NEURAP provides a unique capability for routine neutron imaging of highly radioactive samples.
  • The findings contribute to understanding material degradation mechanisms in nuclear applications.
  • Optimized operational regimes and extended safe lifetimes for nuclear components are potential outcomes.