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On May 9, I took a whirlwind tour of change in manufacturing by visiting several open house events. First up was BIG Kaiser Precision Tooling Inc. in Hoffman Estates, IL, where Matt Tegelman, applications manager and product manager Kaiser, talked about the Industrial Internet of Things.

It’s the machine tool acronym you never bother to put into words: CNC. And much of the time it’s probably OK to view your “computer numerical control” as a black box doing magic. But if you’re struggling with high-speed machining, need better surface finishes or higher accuracy, have training and retention problems, or want a better handle on your production efficiency, the answer just might be the latest iterations of those three little letters.

There are plenty of manufacturing catchphrases: the Industrial Internet of Things (IIoT), Industry 4.0 and the Digital Factory. “Sometimes it’s a lot of buzzwords. Sometimes there’s a lot of reality behind it,” said Roger Hart, research and development manager of Siemens (Berlin and Munich, Germany).

BIG Kaiser Precision Tooling Inc. has announced a promotion and multiple new hires that the company says will continue to bolster customer support and responsiveness in several key regions.  

Charlie Novak Jr. has joined Arch Cutting Tools as Arch Specials Business Development and Coordinator. He will be located at Arch-Mentor, Mentor, Ohio, and report to Brent Sheerer, with a dotted line to Jeff Cederstrom.

Not long ago, the mention of workholding might call to mind the traditional vise or three-jaw chuck. The integral nature of proper fixturing to successful machining has forever changed that paradigm and made workholding as critical to the manufacturing process as any of the machines or systems of which it is a part.

Using Blockly to make robots easier to install and operate without specialized training.

Some of the key trends in manufacturing are brought about by convergence of the design and manufacturing industries. With manufacturers under more pressure than ever to deliver better products faster and at lower cost, the need to connect and automate design and manufacturing processes to reduce iterations, errors, and delivery times is becoming critical.

For decades, plant personnel have performed insulation resistance tests with handheld megohmmeters to prevent motor failures that lead to costly unplanned shutdowns, failure-to-produce penalties and rewinding repairs. However, these tests only provide a “snapshot” of motor health. In a matter of days, motor windings and cables exposed to moisture, chemicals, contaminants or vibration can be compromised and fail at startup.

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.