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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.

Edge finishing is a relatively new term in manufacturing. It’s a new and deeper focus on what many used to call deburring, edge honing, edge preparation, edge prepping, burring, chamfering, or edge blending. Edge finishing goes beyond any of those definitions. Deburring, which is often considered wasted effort by managers, wrongly carries a negative connotation. In reality, deburring and edge-finishing processes add many benefits to parts—they create highly desirable edge quality—the quality most products need.

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.

High-pressure water can simultaneously clean and deburr a workpiece, and hybrid systems can include mechanical deburring in the process.

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

Breaking down barriers for small- and medium-sized manufacturers

Building the business case for sustainability efforts in manufacturing

Reduce downtime and waste with better overall equipment effectiveness