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At Cary Rosenberg’s company, Watts Water Technologies, validating material properties to ensure they are composed of the correct elemental composition is an important part of their work.

Amid vigorous growth in their industry, product lifecycle management (PLM) software developers are exploiting the cloud and machine learning to manage data and enhance the users’ experience.

As a self-aware millennial, Pat Evans has long been wary of how quickly technology is taking over our lives and quickly dominating the economy. Attending HxGN Live in June, Hexagon AB’s annual digital solutions conference, some of those fears were reinforced, while others were quelled.

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.

Maybe your company specializes in aerospace or medical components, and you need to produce complex geometries in metals too tough to cut via conventional machining methods.

Speeding the flow of jobs through the shop, while maintaining top quality, ranks among the hallmarks of any successful manufacturing operation’s goals.

Proper drill selection, the geometry built into the drills themselves, applying proper drilling parameters, and a few tips and tricks from the pros can address nagging drilling problems such as drill breakage, unbroken chips, tool runout, poor hole edges, and poor tool life.

Hexagon Manufacturing Intelligence, a business unit of Hexagon AB, outlined its vision for the future of manufacturing at HxGN Live, the company’s annual digital solutions conference, held June 11-15 in Las Vegas.

Edge. Cloud. Digital twin. AI. AR. VR. Cobots. Once they were buzzwords. Now, they are becoming technical realities in mid- to large-scale manufacturing plants in North America.

Robots and job shops have not typically been talked about together. After all, everyone knows that automation is only suitable for high-volume production, and the typical mom-and-pop operation is anything but—its schedule filled with orders for high-mix, low-volume, and often highly complex work.