Automated implementation of EMAT inspection

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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