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

JOURNAL OF HAZARDOUS MATERIALS

卷:412

Article

Coffey, Paul^1,2  Smith, Nick^2,3,4  Lennox, Barry⁵  Kijne, Gerben⁶  Bowen, Bob⁷  Davis-Johnston, Adrian⁷  Martin, Philip A.^1,2 

[1] Univ Manchester, Dept Chem Engn & Analyt Sci, Manchester M13 9PL, Lancs, England

[2] Univ Manchester, Photon Sci Inst, Manchester, Lancs, England

[3] Univ Manchester, Dept Mech Aerosp & Civil Engn, Manchester M13 9PL, Lancs, England

[4] Natl Nucl Lab, Manchester, Lancs, England

[5] Univ Manchester, Dept Elect & Elect Engn, Manchester, Lancs, England

[6] Pixel Mill Digital, Manchester, Lancs, England

[7] Nuvia Ltd, Seascale, Cumbria, England

关键词: Robotics;    LIBS;    Raman;    Remote analysis;    Material characterisation;    Nuclear environments;    Decommissioning;   

DOI  :  10.1016/j.jhazmat.2021.125193

来源: Elsevier

【 摘 要 】

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.

【 授权许可】

Free