Additive manufacturing (AM), commonly called 3D printing, is a $4 billion business set to quadruple by 2020. One day, manufacturers may print everything from cars to medicines, disrupting centuries-old production practices. The Federal Aviation Administration recently certified the first 3D-printed part for GE commercial jet engines, and companies like Ford Motor Company are using AM to build products and prototypes.
But the new technology poses some of the same dangers unearthed in the electronics industry, where trusted, partially trusted, and untrusted parties are part of a global supply chain.
That finding, along with initial recommendations for remedies, was reported by a team of cybersecurity and materials engineers at the NYU Tandon School of Engineering in JOM, The Journal of the Minerals, Metals & Materials Society.
In the paper, the researchers examined two aspects of 3D printing that have cybersecurity implications: printing orientation and insertion of fine defects. “These are possible foci for attacks that could have a devastating impact on users of the end product, and economic impact in the form of recalls and lawsuits,” said Nikhil Gupta, noted materials researcher and an associate professor of mechanical engineering at the New York University Tandon School of Engineering.
Additive manufacturing builds a product from a computer assisted design (CAD) file sent by the designer. The manufacturing software deconstructs the design into slices and orients the printer head. The printer then applies material in ultra-thin layers.
The researchers reported that the orientation of the product during printing could make as much as a 25 percent difference in its strength.
However, since CAD files do not give instructions for printer head orientation, malefactors could deliberately alter the process without detection. Gupta explained that economic concerns also influence how a supplier prints a product. “Minus a clear directive from the design team, the best orientation for the printer is one that minimises the use of material and maximises the number of parts you can print in one operation,” he said.
The team comprised Gupta; lead author Steven Eric Zeltmann, a graduate student in mechanical engineering; Ramesh Karri, professor of electrical and computer engineering; Michail Maniatakos, professor of electrical and computer engineering at NYU Abu Dhabi; Nektarios Tsoutsos, a doctoral student at NYU Abu Dhabi, and Jeyavijayan Rajendran, an assistant professor at The University of Texas at Dallas and former student of Karri.
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