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Before the coronavirus pandemic upended normal life and essentially shut down commercial airliners, the aviation industry had a projected need for 40,000 new aircraft—planes, helicopters, air taxis, and unmanned aerial vehicles—in the next 20 years.

Controls help make modern manufacturing go. Controls help shop floor employees monitor Industry 4.0 technology. Controls also boost productivity on the shop floor. Technology companies are highlighting improvements designed to maintain the forward momentum of advanced technology.

Take a break from the virtual and go live at the 32nd edition of BI-MU. Over 550 companies have confirmed their presence at this Italian trade show for machine tools, robotics and automation in Milan, Italy.

Fiber laser welding continues to grow as it improves in weld quality, reliability and performance. Many fiber laser welding applications are autogenous, where the weld is formed entirely by melting parts of the base metal and no additional filler wire or powder is used

Ford Motor Co. is leasing four-legged robots from Boston Dynamics as part of a program to reduce cost and boost efficiency.

With the potential for a 30% productivity increase or even more, there's a strong incentive for automating CNC machining processes. But before you flip the switch on that robot, you’ll need to check out the surrounding tools and processes.

Fastems LLC has launched three new products to enable educational institutions and manufacturing enterprises to benefit from its advanced Digital Manufacturing (DM) solutions for factory automation. In addition to functioning as a classroom teaching and learning tool, DM enables companies to do training and testing before ramp-up and simulation during production.

Necessity, as the saying goes, is the mother of invention, and this symbiotic relationship between need and solution was on full display at a recent two-day, two-location event hosted by GF Machining Solutions.

McDermott International is using Digital Twins to grow its business and to keep information flowing instead of trapped in silos.

How do we turn all the data collected at each step of the manufacturing process into something usable?