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While 3D scanning has already been adopted by many automotive part manufacturers, the use cases in Quality Control (QC) have been limited.

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).

The virtual thread enables connected data flow for all asset information and related metadata.

There are parallels in how industry and healthcare adapt to digital technology—and some interesting differences.

Where and why has the sharing of information fallen through the cracks?

Robotics and AI meet the challenges of constant commerce at Pitney Bowes.

Solar, wind and hydro are striving for dominance in the energy sector while oil and gas continues to hang on tight. What does it mean for suppliers?

Despite the availability of spindle rebuilders nationwide, not every firm provides the same level of quality.

Physics-informed AI simulations are beginning to replace artificial neural network models, yielding more accurate and more trustworthy predictions than ANN simulations.