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Computed tomography (CT) scan data analysis can help trace failures and performance shortcomings back to their design roots.

For Dale Mickelson, Yasda product manager at Methods Machine Tools Inc. (Sudbury, MA) and author of several books on hard milling, tackling heat-resistant superalloys (HRSAs) requires the perfect combination of machine, workholding, tooling, tool paths and coolant.

Constant refinement of medical machining from tooling design to finished product requires not only the ability to handle a broad range of plastic and metal materials but also to achieve predictable results—particularly in the face of strict regulations.

Flexibility has come to automation, perhaps as never before. And for industries that require precision machining, assembly, and measurement, automation technologies have never been more available.

Artificial Intelligence is weaved in with capacity management, cybersecurity, data science, diagnostics, ERP-PLM integration, location analysis, machine learning, predictive maintenance, process optimization, situational awareness and supply chain management.

Automotive engineering has never had so much complexity to address. Producing millions of vehicles per year is a daunting feat.

As additive manufacturing (AM) moves from prototypes to mass production, manufacturers are setting their sights on the holy grails—the products and processes that will be game-changers. Many game-changers are already in play.

Swiss-style machine tools can be a good choice for making complex parts. On the downside, however, Swiss machining itself has a reputation of being complex—and, therefore, more difficult to master than standard machining.

In our May webinar titled “Lasers in Manufacturing: State of the Art in 2018,” we noted the emergence of some novel technologies to produce the “holy grail” of laser welding: spatter-free joins with no porosity and, when required, highly aesthetic outcomes.

Smart factory systems benefit from improved technologies, as well as proven applications.