Robotic arm material characterisation using LIBS and Raman in a nuclear hot cell decommissioning environment.
Robotic arm material characterisation using LIBS and Raman in a nuclear hot cell decommissioning environment.
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DOI：
10.1016/j.jhazmat.2021.125193
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发表时间：
2021-01
影响因子：
13.6
通讯作者：
P. Coffey;N. Smith;B. Lennox;Gerben Kijne;Bob A. Bowen;Adrian Davis-Johnston;P. Martin
中科院分区：
文献类型：
--
作者：
P. Coffey;N. Smith;B. Lennox;Gerben Kijne;Bob A. Bowen;Adrian Davis-Johnston;P. Martin
核环境中的材料特性鉴定是退役过程的重要组成部分。本文探讨了部署商用现货（COTS）激光诱导击穿光谱（LIBS）和拉曼光谱的可行性，用于退役热室环境，通知废物操作决策。为了操作这些技术，为每个仪器设计和构造了适配器和探针，以形成机器人手臂可以从隔离的控制室远程拾取和操作的工具。开发的仪器成功地将实时测量数据返回到控制室进行保存和进一步分析（例如材料分类/识别）。在模拟的热室环境中，在PaR M3000机械臂上对接触LIBS、接触拉曼和远离拉曼的解决方案进行了成功的测试，并确定了局限性。通过该技术获得的数据进行分析，分类，并在3D虚拟环境中呈现。由基本COTS LIBS收集的光谱数据显示出用于污染识别的潜力（铍被用作例子）。COTS，LIBS和拉曼在退役的潜力是建立和改进的硬件，测量过程和如何存储和使用的数据，被确定。
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 formtoolsthat 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.