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Metalworking machines are fast, powerful, and accurate, but they weren’t always as capable as they are today. Modern equipment is more nimble, flexible and adaptable. The machines collectively exceed the sum of their parts.

My involvement in SME and its AeroDef event began in 2014, when I first presented an Adaptive Machining Overview at AeroDef 2014 in Long Beach, Calif. At the time, the conference was relatively small in terms of attendees and exhibitors in comparison to the explosion of other engineering conferences that began around that time.

Today’s virtual technology enables faster and better product development. Planes, trains and automobiles are defined in CAD, subjected to virtual tests to see how they might fail, re-designed, virtually manufactured and virtually shown to customers to confirm market acceptance.

No one can accuse cutting tool manufacturers of not trying every possible combination of coating, substrate, material and geometry in their quest to gain a competitive edge for their customers.

Ranked as the top additive manufacturing (AM) platform vendor, Stratasys (Los Angeles) scored highest in the overall category of implementation and topped four of the 12 ranking criteria, announced Oyster Bay, N.Y.-based ABI Research, a market-foresight advisory firm providing strategic guidance on the most compelling transformative technologies.

Troy, N.Y.-based Hudson Valley Community College is building a $14.5-million, 37,000-sq.-ft. advanced manufacturing center to train CNC machinists, toolmakers, CNC programmers, and industrial maintenance personnel. The Gene F. Haas Center for Advanced Manufacturing Skills (CAMS) is expected to be completed this May and open in September.

The U.S. auto industry has been automated for decades. Production of cars and trucks is associated with large, hulking robots fenced off from human employees. Inside those fenced off areas, tasks such as welding are performed. The industry, though, is advancing on the automation front.

Structured light systems measure surfaces by projecting a pattern of fringes, then using cameras and sophisticated software to convert them into point clouds of metrology data. Accuracy can reach the single-digit microns over millions of points.

As a provider of automation equipment and software, our company is immersed in this ongoing, revolutionary, data-driven ride, and we’re anticipating a new trend: our customers are not just automating their traditional subtractive methods.

Kennametal Inc. worked with Anthony Machine Inc. so the latter could reduce setup times.