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As the automotive industry’s reawakening continues, less-expensive high-payload robots are gaining traction over more conventional fixed tooling among automakers focused on cutting costs while improving manufacturing productivity and processes.

For years, the manufacturing industry has debated the pros and cons of opening up manufacturing networks, but concerns over virus vulnerabilities and the stability of PCs on the network largely limited open-architecture PC controls’ progress and kept entrenched proprietary systems in place.

Last year’s surge in medical machining and firearms manufacturing could well be joined or even eclipsed by this years’ reemergence of production for applications in the automotive, aerospace, electronics, and hydraulics industries, generating increased interest in Swiss-style machining. This isn’t news. But what may be surprising is that the venerable, tried and true Swiss automatic CNC lathe coninues to evolve, adding bells and whistles where needed, or conversely stripping one—like a guide bushing—away to maximize its efficiency in machining parts complete.

Shop efficiencies start with the machine tool controller, as today’s CNC equipment offers machine operators myriad tools for improving part surface finishes, allocating machine time, and cutting job cycle times.

A self-described “river rat” during his teenage years, Herbert B. Voelcker grew up in the small town of Tonawanda, NY, just north of Buffalo, where as a young man he grew to love the water, boats, and steam engines. His early fascination with how things worked eventually led him to study mechanical engineering at the Massachusetts Institute of Technology (Cambridge, MA), and to embark later on a greatly varied technical career highlighted by his research into the mathematical foundations for 3-D solid modeling.

Robotic machining technology has advanced to where it poses a serious alternative to metalcutting applications on more traditional machining centers. With the latest robotics equipment and related software, automation suppliers and robotic system integrators are gaining some traction using robots in many material-removal applications previously done only with machine tools.

Workholding techniques using a magnetic field, a vacuum, or an adhesive can be effective alternatives to clamps. When these techniques are used, more part area is available for the cutting tools, thin parts can be held, and initial setup can be fast and simple. Plus, there is a potential for smoother surfaces and a shorter overall production cycle.

To climb the Mastercam learning curve, Ariel Corp. worked with CNC Software to craft a training course for its workforce.

After supply chain shortages, executives point to public health crises and cyberattacks among leading concerns.

The complex world of artificial intelligence and machine learning—and why it all matters