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When it comes to using new materials, medical and dental device makers are ultra-conservative—because they need to clear devices through a thicket of federal regulators.

Manufacturers face a difficult task juggling the current “innovation agenda.” Today, the Industrial Internet of Things (IIoT), robotic automation and artificial intelligence (AI) are all poised to be the next big thing.

Basic trends in modern manufacturing are driving growth in 3D optical metrology. “One is the highly complex and high-tech material that manufacturers are using today. For example, in the aerospace turbine blade market, they simply cannot touch the part like they used to—the surface finish of the material is too readily affected by any kind of contact metrology."

Remember the boy with endless learning capacities in the 2001 film “AI Artificial Intelligence”? He’s quickly coming to life. Today, AI is no longer fictional; it’s reality.

The Digital Manufacturing and Design Innovation Institute (DMDII) today kicked off a new cybersecurity initiative focused on manufacturing.

Ongoing exchange between CAD/CAM software technology developers and cutting tool manufacturers is an excellent illustration of how technology collaborations can create productivity gains in manufacturing. Several examples involve our company and cutting tool manufacturers.

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.

Drilling advancements have spurred the evolution of oil and gas operations from simplistic single-well pad fields to more complex multi-well pads. Today, many producers are using fracking and lateral drilling techniques to place 10 or more wells on one pad.

Erik Anderson, president and CEO of Basin Precision Machining LLC, has determined that setups are the root of all evil when it comes to manufacturing productivity. They cause part variations, downtime, and high-percentage scrap rates.

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.