4.7 Article

Robotic arm material characterisation using LIBS and Raman in a nuclear hot cell decommissioning environment

Journal

JOURNAL OF HAZARDOUS MATERIALS
Volume 412, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jhazmat.2021.125193

Keywords

Robotics; LIBS; Raman; Remote analysis; Material characterisation; Nuclear environments; Decommissioning

Funding

  1. UK Research and Innovation (UKRI), via the EPSRC TORONE project [EP/P018505/1]
  2. Nuvia UK as part of an Innovate UK grant
  3. Royal Society Industry Fellowship
  4. NNL Core Science Group Decontamination IRD Theme
  5. PaR Systems, Remote Handling and Service team, European Centre of Excellence, Lillyhall, Cumbria
  6. EPSRC [EP/P018505/1] Funding Source: UKRI

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This study explores the feasibility of using commercial off the shelf LIBS and Raman spectroscopy in a decommissioning hot cell environment, successfully designing adapters and probes for remote operation by a robotic arm. Potential for contamination identification was shown through spectral data collected by a basic COTS LIBS, establishing new possibilities for decommissioning processes.
Material characterisation in nuclear environments is an essential part of decommissioning processes. This paper explores the feasibility of deploying commercial off the shelf (COTS) laser induced breakdown spectroscopy (LIBS) and Raman spectroscopy, for use in a decommissioning hot cell environment, to inform waste operation decision making. To operate these techniques, adapters and probes were designed and constructed, for each instrument, to form tools that a robotic arm could pick up and operate remotely from an isolated control room. The developed instrumentation successfully returned live measurement data to a control room for saving and further analysis (e.g. material classification/identification). Successful testing of the solutions was performed for contact LIBS, contact Raman and stand-off Raman on a PaR M3000 robotic arm, in a simulated hot cell environment and the limitations identified. Data obtained by the techniques are analysed, classified and presented in a 3D virtual environment. The spectral data collected by a basic COTS LIBS showed potential for use in contamination identification (beryllium is used as example). Potential for COTS, LIBS and Raman in decommissioning is established and improvements to the hardware, the measurement processes and how the data is stored and used, are identified.

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