Automated implementation of EMAT inspection

我们最近开始开发用于瑞利波和水平剪切波（SH）检测的嵌入式电磁声换能器（EMAT）。这具有提高空间分辨率的共同优点，并且使得在机器人平台上的实施更简单，特别是对于铁素体钢的检测。它的缺点是降低了信噪比（SNR），但正在研究一些路线，以改善信号分析。在RCNDE资助的一个核心研究项目期间，对SH波检查做了一些工作。然而，还有更多的事情可以做，例如使用相位技术提高SNR，在不同的分析结果之间执行数据融合，以及研究机器人的智能操作以确保检测缺陷的高概率。该博士项目将汇集多个研究领域，为非接触式超声波自动无损检测（NDT）提供一个飞跃性的变化。工作范围：EMAT的小型化，设计不同的波型自动检测设计，使用超声波NDT之间的数据融合机器人的智能操作EPSRC主题：人工智能和机器人，能源（工厂检测），工程，制造未来

We have recently started to develop miniaturised electromagnetic acoustic transducers (EMATs) for Rayleigh and shear horizontal (SH) wave inspection. This has the joint advantages of improving spatial resolution, and making implementation onto a robotic platform simpler, particularly for inspection of ferritic steel. It has the downside of reducing signal to noise ratio (SNR), but a number of routes are being investigated for improving signal analysis. Some work has been done on SH wave inspection during a core RCNDE-funded research project. However, there is much more that can be done, for example improving SNR using phasing techniques, performing data fusion between different analysis results, and looking at intelligent operation of robots to ensure a high probability of detection of defects. This PhD project will bring together several research strands, offering a step-change in non-contact ultrasonic automated non-destructive testing (NDT).Scope of work:Miniaturisation of EMATs, designs for different wavemodesDesign of automated inspection, using data fusion between ultrasonic NDT Intelligent operation of robotsEPSRC themes: AI and robotics, energy (for plant inspection), engineering, manufacturing the future