Automated implementation of EMAT inspection

我们最近开始开发用于瑞利波和剪切水平波检测的小型化电磁声换能器（EMATs）。这具有提高空间分辨率的共同优势，并使机器人平台上的实施更简单，特别是对于铁素体钢的检测。它有降低信噪比（SNR）的缺点，但一些改进信号分析的途径正在研究中。在rcnde资助的一个核心研究项目中，已经完成了一些关于SH波检测的工作。然而，还有很多事情可以做，例如使用相位技术提高信噪比，在不同的分析结果之间进行数据融合，以及研究机器人的智能操作以确保高概率检测缺陷。这个博士项目将汇集几个研究方向，为非接触式超声波自动无损检测（NDT）提供一个台阶式的改变。工作范围：emat的小型化，不同波形的设计；自动检测的设计，使用超声波无损检测之间的数据融合机器人的智能操作；src主题：人工智能和机器人，能源（用于工厂检测），工程，未来制造业

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