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Imaging inspection techniques, such as ultrasound and radiography, are used in the non-destructive testing (NDT) of industrial components in order to locate any cavities, inclusions, lack of fusions and so on that may have been formed during the manufacturing process.

The MSRR group, at the University of Surrey, have been investigating the potential uses of image processing and pattern recognition for semi or fully autonomous non-destructive testing for over 10 years. Most of this work has been directed at real time on-line inspection systems featuring the use of Digital Radiography (radioscopy) and Ultrasonic Time of Flight Diffraction (TOFD) methods for data acqusisition. Much of this work has been directed at weld inspection though we do also have experience in processing of image data from castings/explosives inspection systems and have undertaken pilot studies into car alloy wheel inspection using radioscopy and even x-ray inspection of chicken pieces.
Our work has featured the development of fast, novel image processing operators for defect detection and expert systems for product quality assessment. We have also been involved in the assessment of whether neural network operators can be used to replace econventional image processing for defect detection.
Summary of the final ultrasonic TOFD trials for the BRITE_EURAM project "NDT methods for flaw detection during welding".
(also published here
on the OnLine Ultrasonic Journal).
Summary of defect detection rates using automated TOFD interpretation software during welding.
(published in response to a question posted to the OnLine Ultrasonic Journal open forum, February 1998).
References to pattern recognition in conventional UT.
(published in response to a question posted to the OnLine Ultrasonic Journal open forum, November 1998).
References to TOFD ultrasonic testing.
References to pattern recognition in industrial radiography..
These pages are administered by Maarten Michielen
(m.michielen@surrey.ac.uk)
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Last change: April 2000