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

Decommissioning LIBS Material characterisation Nuclear environments Raman Remote analysis Robotics

Journal

Journal of hazardous materials
ISSN: 1873-3336
Titre abrégé: J Hazard Mater
Pays: Netherlands
ID NLM: 9422688

Informations de publication

Date de publication:
15 06 2021
Historique:
received: 31 07 2020
revised: 18 01 2021
accepted: 19 01 2021
pubmed: 31 1 2021
medline: 31 1 2021
entrez: 30 1 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 33516106
pii: S0304-3894(21)00156-4
doi: 10.1016/j.jhazmat.2021.125193
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

125193

Informations de copyright

Copyright © 2021. Published by Elsevier B.V.

Auteurs

Paul Coffey (P)

Department of Chemical Engineering and Analytical Science, University of Manchester, Manchester M13 9PL, UK; Photon Science Institute, University of Manchester, UK.

Nick Smith (N)

Photon Science Institute, University of Manchester, UK; Department of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester M13 9PL, UK; National Nuclear Laboratory, UK.

Barry Lennox (B)

Department of Electrical & Electronic Engineering, University of Manchester, UK.

Gerben Kijne (G)

Pixel Mill Digital, Manchester, UK.

Bob Bowen (B)

Nuvia Ltd., Cumbria, UK.

Adrian Davis-Johnston (A)

Nuvia Ltd., Cumbria, UK.

Philip A Martin (PA)

Department of Chemical Engineering and Analytical Science, University of Manchester, Manchester M13 9PL, UK; Photon Science Institute, University of Manchester, UK. Electronic address: Philip.Martin@Manchester.ac.uk.

Classifications MeSH