Ensuring Decommissioning Safety, Integrity and Verification through Advanced Ultrasonic Sensor-Enabled Cutting

通过先进的超声波传感器切割确保退役安全、完整性和验证

• 批准号: 2744604
• 金额: --
• 依托单位: University of Strathclyde
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2744604
• 关键词: Ensuring; Decommissioning; Safety; Integrity; Verification

The overarching aim of the PhD is to transform automated decommissioning efficiency flexibility and costs, reducing risks on the Sellafield and other nuclear sites in a much shorter timeframe saving taxpayers and governments hundreds of millions of pounds. The core technical aim of this PhD is to investigate the potential for ultrasonic sensor-enabled feedforward and feedback control of the robotised laser cutting process to deliver optimum cut process parameters at all times, for safe, efficient, flexible, lower-cost decommissioning. The project and the student will directly align with the Hot Robotics NNUF project involving the University of Bristol, University of Manchester and Remote Applications in Challenging Environments (RACE) arm of the UK Atomic Energy Authority (UKAEA), specifically working alongside and on the new flexible robotic laser cutting cell being set up by NNL in Workington to progress future PhD outcomes to exploitation in the coming decade.

博士学位的总体目标是改变自动化退役效率、灵活性和成本，在更短的时间内降低塞拉菲尔德和其他核电站的风险，为纳税人和政府节省数亿英镑。该博士学位的核心技术目标是研究机器人激光切割过程的超声波传感器前馈和反馈控制的潜力，以始终提供最佳的切割工艺参数，实现安全，高效，灵活，低成本的退役。该项目和学生将直接与热机器人NNUF项目，涉及布里斯托，曼彻斯特大学和远程应用在英国原子能管理局（UKAEA）的机器人环境（RACE）的手臂，特别是一起工作，并在新的灵活的机器人激光切割单元上由NNL在沃金顿建立，以在未来十年内开发未来的博士成果。