Full matrix capture (FMC) ultrasound can be used to generate a permanent re-focusable record of data describing the geometry of a part; a valuable asset for an inspection process. FMC is a desirable acquisition mode for automated scanning of complex geometries, as it allows compensation for surface shape in post processing and application of the total focusing method. However, automating the delivery of such FMC inspection remains a significant challenge for real industrial processes due to the high data overhead associated with the ultrasonic acquisition. The benefits of NDE delivery using six-axis industrial robots are well versed when considering complex inspection geometries, but such an approach brings additional challenges to scanning speed and positional accuracy when combined with FMC inspection. This study outlines steps taken to optimize the scanning speed and data management of a process to scan the diffusion bonded membrane of a titanium test plate. A system combining a KUKA robotic arm and a reconfigurable FMC phased array controller is presented. The speed and data implications of different scanning methods are compared, and the impacts on data visualization quality are discussed with reference to this study. For the 0.5 m2 sample considered, typical acquisitions of 18 TB/m2 were measured for a triple back wall FMC acquisition, illustrating the challenge of combining high data throughput with acceptable scanning speeds.
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31 March 2015
41ST ANNUAL REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION: Volume 34
20–25 July 2014
Boise, Idaho
Research Article|
March 31 2015
Automated full matrix capture for industrial processes
Roy H. Brown;
Roy H. Brown
Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, G1 1XW,
United Kingdom
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S. Gareth Pierce;
S. Gareth Pierce
Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, G1 1XW,
United Kingdom
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Ian Collison;
Ian Collison
Rolls-Royce plc, PO Box 31, Derby, DE24 8BJ,
United Kingdom
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Ben Dutton;
Ben Dutton
The Manufacturing Technology Centre, Pilot Way, Ansty Business Park, Coventry, CV7 9JU,
United Kingdom
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Jerzy Dziewierz;
Jerzy Dziewierz
Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, G1 1XW,
United Kingdom
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Joseph Jackson;
Joseph Jackson
Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, G1 1XW,
United Kingdom
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Timothy Lardner;
Timothy Lardner
Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, G1 1XW,
United Kingdom
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Charles MacLeod;
Charles MacLeod
Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, G1 1XW,
United Kingdom
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Maxim Morozov
Maxim Morozov
Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, G1 1XW,
United Kingdom
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Roy H. Brown
S. Gareth Pierce
Ian Collison
Ben Dutton
Jerzy Dziewierz
Joseph Jackson
Timothy Lardner
Charles MacLeod
Maxim Morozov
Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, G1 1XW,
United Kingdom
AIP Conf. Proc. 1650, 1967–1976 (2015)
Citation
Roy H. Brown, S. Gareth Pierce, Ian Collison, Ben Dutton, Jerzy Dziewierz, Joseph Jackson, Timothy Lardner, Charles MacLeod, Maxim Morozov; Automated full matrix capture for industrial processes. AIP Conf. Proc. 31 March 2015; 1650 (1): 1967–1976. https://doi.org/10.1063/1.4914824
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