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Convergence-enabled cyberattacks—where criminals exploit traditionally isolated operational technology (OT) devices through their new connections to the IT network—may be motivated by the desire to hijack and demand ransom for services, steal trade secrets through industrial or national cyberespionage, or commit cyberterrorism or engage in cyberwarfare.

It’s a familiar scenario at the factory. Quality issues have reared their ugly heads, requiring rework, causing backorders, delaying shipments, and driving tense daily customer calls. Meanwhile, the team works to address production issues using a mix of day-old post-mortem reports, shop-floor observations captured on notepads, and other operational data summarized on spreadsheets and sticky notes.

Defense systems are, by design, built to defend against threats. Today, however, manufacturers of these systems are focusing on an entirely new kind of threat: security breaches targeting their automation systems.

The increased use of CT scanning for metal powder bed fusion parts is usually associated with high-value parts and elevated quality requirements. There are increased requests for CT scanning on parts made of engineering-grade polymers like PEEK, PEKK or ULTEM and for fiber-reinforced composites like Nylon 12 CF.

An engine manufacturer discovers there is a way to reduce 50 billion data points to 2 billion—a reasonable number from which the foundation for machine learning can be built.

The low temperature intrinsic to solid-state printing processes allows manufacturers to weld layers of dissimilar metals without fear of metallurgical incompatibility issues.

Automated manufacturing operations are finely tuned ecosystems in which all components must function in complete harmony. Grippers used to pick and place, orient and hold components or end products at various points along the production chain are key to this process.

Northrop Grumman's SCRAM system revolutionizes additive manufacturing with integrated continuous carbon fiber for aerospace and defense. It offers cost-effective build-on-demand capabilities, streamlines certification processes, and enhances agility in responding to evolving customer needs.

Companies like ABB, Balluff and Sick would be within their rights to film a commercial with exuberant sensor product managers breaking out in a song of cheer.

The next cycle of technology disruption is upon us. Artificial Intelligence (AI) is taking hold in every industry and manufacturing is no exception. AI enables companies—from medical device and electronics manufacturers to pharmaceutical firms—to leverage their Big Data and IoT investments to see new patterns and insights and to perform tasks more efficiently and quickly than ever before.