报告主题：复杂几何超声探测数据的新颖可视化方法

Novel data visualization approaches for ultrasonic inspection of complex geometries

主讲人：Dr. Carmelo Mineo

报告时间：4月25日上午10:00

报告地点：延长校区电机楼202会议室

内容简介：

The demand for high speed ultrasonic scanning of large and complex components is driven by a desire to reduce production bottlenecks during the non-destructive evaluation of critical parts. Emerging systems (including robotic inspection) allow the collection of large data volumes in short time spans, compared to existing inspection systems. To maximize throughput, it is crucial that the reconstructed inspection data sets are generated and evaluated rapidly without a loss of detail. This requires new data visualization and analysis tools capable of mapping complex geometries whilst guaranteeing full part coverage. This presentation will give an overview of the research developed at the University of Strathclyde, enabling high throughput robotic non-destructive testing. It will focus on a novel approach for the visualization of three-dimensional ultrasonic C-scans, suitable for application to high data throughput ultrasonic phased array inspection of large and complex parts. Existing reconstruction approaches are discussed and compared with the new Index Based Triangulation (IBT) method presented. The IBT method produces 3D C-scan representation, presented as coloured tessellated surfaces, and the approach is shown to work efficiently even on challenging geometry. An additional differentiating characteristic of the IBT method is that it allows easy detection of lack of coverage (an essential feature to ensure that inspection coverage can be guaranteed on critical components). Results demonstrate that the IBT C-scan generation approach runs over 60 times faster than a C-scan display based on Delaunay triangulation and over 500 times faster than surface reconstruction C-scans.

In summary the main benefits of the new IBT technique are:

• High speed generation of C-scans on large ultrasonic data sets (orders of magnitude improvement over surface reconstruction C-Scans);

• Ability to operate efficiently on 3D mapped data sets (allowing 3D interpretation of C scans on complex geometry components);

• Intrinsic indication of lack of inspection coverage.

Acknowledgements

This work is part of the Autonomous Inspection in Manufacturing and Re-Manufacturing (AIMaReM) project, funded by the UK Engineering and Physical Science Research Council (EPSRC) through the grant EP/N018427/1.

主讲人：

Dr Carmelo Mineois a Research Fellow in the Centre for Ultrasonic Engineering (CUE) of the department of Electrical and Electronic Engineering at the University of Strathclyde. Carmelo graduated with a MEng in Mechanical Engineering from the University of Palermo (Italy), where he undertook research projects in areas such as non-destructive evaluation, laser ultrasound and characterization of wave propagation with experimental and numerical studies. He joined CUE in 2012 to undertake a PhD in Automated Non-Destructive Inspection of Large and Complex Geometries of Composite Materials. Carmelo's PhD program was primarily developed in an industrial environment, at the TWI facility in South Wales (Port Talbot, UK). It was instrumental to develop advanced robotics for the operation of ultrasound testing on aerospace parts with complex shapes.

Through strongly engaging with industrial sponsors, Carmelo is current responsible for contributing to the development of high value robotic systems for the inspection of aerospace components, solving crucial automation problems and speeding up data acquisition. Carmelo’s current research interests comprise all aspects of the operation of robotic cells, including programming, instrument interfacing, data collection, data visualization and analysis. Carmelo has vast experience in industrial engineering areas such as robotics, sensors, mechanical design, software, system integration, interfacing and control. He is a certified ultrasonic NDT inspector of welds on plates and pipes (PCN UT Level 2).