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Specialty materials transforming the manufacturing landscape

Data democratization promises to boost manufacturing quality and deliver real-world ROI.

Toyota Motor Corp. is using artificial intelligence and 3D printing to help it navigate the biggest changes the auto industry has seen in more than a century.

The International Manufacturing Technology Show set up shop today after a four-year break stemming from the COVID-19 pandemic.

Machines can learn to spot anomalies in-process and end-of-line.

Parting and grooving operations are everyday occurrences in a typical turning department. Is your shop performing them most effectively?

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.

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.

When wrestling with vexing issues such as product complexity, lightweighting, advanced materials and new manufacturing methods, today’s manufacturing engineers increasingly use high-fidelity simulations to visualize solutions to these challenges.