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I’ve had quite a month, again, covering clever software and gadgets that continue to inch their way into performing tasks once reserved for humans. These tasks range from mundane material handling to highly skilled engineering design. It has made me think quite a bit about how our world of manufacturing and engineering will be affected by all this artificial cleverness.

Have collaborative, six-axis robots reached a tipping point in establishing their niche in manufacturing? And could they be opening doors for manufacturers to adopt automation overall?

It’s said you don’t know where you’re going if you don’t know where you’ve been. For Industry 4.0 and advanced manufacturing, digital libraries provide that map.

On race day, everybody sees the race on TV, but behind the scenes there’s a competition going on between shops where time is everything, according to Matt Gimbel, Team Penske’s production manager.

I’m among the first to dive into the latest manufacturing innovations and see how they can improve our customers’ operations. Yet, I’m also among the first to advise them to pause and ensure that the fundamentals of their manufacturing processes are in place before adding something new into the complex mix of functionality and desired outcomes.

Machine tool orders began 2018 with mixed results, dropping from December but posting a surge on a year-over-year basis, the Association for Manufacturing Technology (McLean, VA) said in a monthly report.

The next “dynamic duo” may not involve humans at all. “Machine vision and robots make for a perfect marriage,” stated Klas Bengtsson, global product manager, vision systems for ABB Robotics (Auburn Hills, MI). This is not new. Vision and robotics have gone hand in hand for years.

The University of Illinois at Urbana-Champaign (UIUC; Urbana, IL) has a long, distinguished history and tradition in mechanical and applied engineering sciences, and the university will soon celebrate the opening of a long-planned, multi-million-dollar expansion to its Mechanical Science and Engineering (MechSE) building.

A key success factor for Industry 4.0 and IIoT (Industrial Internet of Things) initiatives is the emergence of more and better sensors in machining centers, and even in the cutting tools themselves. These sensors provide the data and connectivity that are the foundation for the “factory of the future.”

Thread milling, a fundamental metalworking process to create threads, is often the operation of choice when working with difficult-to-machine materials, such as titanium, tool steels, stainless steels, hardened steels and other superalloys.