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DESIGN I TEST & MEASUREMENT
the beams retrospectively, permitting many offline operations, such as adaptive imaging, without needing to rescan.” Lines says that if you see a feature
within the composite material and want to characterise it better, you can analyse it and manipulate the orientation to help find flaws, such as when dealing with the problem of ply wrinkling. “It is usual to have the inspection
beams at right angles to the plies so that the typical defects reflect straight back and are easily seen,” he explains. “However, this inspection angle will need to change to follow the plies in curved components or the defect echo may be missed as the energy bounces in a direction away from the array. You can compensate for this if the curvature is known, but ply waviness is by definition
unplanned. FRD processing allows the beams to adapt to optimise the detection without rescanning.”
Wipe the flaw Lines points to the aircraft wing and how its features change profile throughout its length: “If you take a phased array scanner and run it along the length of a wing section, you either have to define all the focusing laws at the beginning or be aware of the whereabouts of any delay profiles. FlawInspecta collects the full raw data, independent of any changes in delay profile, as it is moved along the wing. The user then simply changes the post-processing on the image and adapts it to focus optimally the whole way along using the same data set.” Lines notes that one key advantage
of FlexRIO is its ability to acquire very high data rates – just over 3GB/sec even on the most basic FlexRIO board – which he says needs local buffering before streaming over the backplane. “This results in a bottleneck as you
scale it up to 64- and 128-channel systems,” he concludes. “What we’ve done is acquire the data, transfer it into the host for processing and all this is being done at about 20 frames/sec. Once debugged, this same code can then migrate into the FPGA for local processing of the images for a further speed-up. Without NI’s help we would have almost certainly needed to obtain a customised solution which would have
been much harder to deploy.”
www.diagnosticsonar.com www.ni.com
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