Researchers are developing a system based on artificial intelligence (AI) to pinpoint internal flaws in aircraft quickly and accurately that are missed otherwise.
Aircraft made mostly from composite materials are already on the drawing boards of major aeronautical manufacturers, which seek lighter planes able to carry more passengers, cargo and fuel.
While these ultralight materials are available, their widespread use is problematic because scanning them for potential flaws is expensive and more time—consuming than similar processes used for checking and certifying metals.
Swinburne University of Technology researchers are tackling this challenge by developing an automated approach, based on AI technology that greatly speeds up analysis and accuracy than a human technician can ever achieve.
“There is a lot of pressure on the technicians who analyse the scans of composite materials for certification,” said Mark Hodge, CEO of the Defence Materials Technology Centre, based at Swinburne’s Hawthorn campus, according to a Swimburne statement.
“Getting it wrong could cost lives and a lot of money. The risk of those consequences means there is a tendency for the technician to be conservative and not certify parts that have any potentially threatening flaw,” he said.
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