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Pittsburgh, PA – June 12, 2018 — Advanced Robotics for Manufacturing (ARM) is proud to announce the awardees of its first round of project funding to strengthen U.S. manufacturing. Separate from ARM’s first official project call, these projects were selected upon ARM’s inception to begin generating timely impact on the national manufacturing landscape and serve as examples of ARM’s mission.

Intelligent factories have existed since manufacturing’s historical inception, but intelligence—defined as the acquisition and application of manufacturing knowledge—resided only with the factory’s staff.

A new report urges the United States invest in emerging manufacturing technologies, saying the private sector can’t preserve US manufacturing by itself.

Advanced Robotics for Manufacturing (Pittsburgh, PA) announced the awardees of its first round of project funding to strengthen US manufacturing. Separate from its first official project call, these projects were selected upon ARM’s inception to generate timely impact on the national manufacturing landscape and serve as examples of its mission.

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

Automotive is one of the most highly-automated industries in the world, and it has been a leading force in expanding the use of industrial automation for decades. In fact, the first industrial robot in production was a Unimation UNIMATE that GM installed on a die-casting line in New Jersey in 1962.

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.”

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.

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.

While laser marking and engraving are well-established processes, innovations and investments in the sector are continuing to push performance boundaries.