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

博士学位的总体目标是改变自动化退役的效率、灵活性和成本，在更短的时间内降低塞拉菲尔德和其他核设施的风险，为纳税人和政府节省数亿英镑。该PHD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过程参数，从而实现安全、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项目保持一致，该项目涉及布里斯托尔大学、曼彻斯特大学和英国原子能机构(UKAEA)的远程挑战环境应用(RACE)部门，特别是与NNL在Workington建立的新的柔性机器人激光切割单元一起工作，以在未来十年将未来的博士成果应用于开发。

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.