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The combination of metrology hardware, adaptive CAM software and connectivity to plant-wide systems is making additive hybrid machine tool applications ever more practical on the shop floor.

The low temperature intrinsic to solid-state printing processes allows manufacturers to weld layers of dissimilar metals without fear of metallurgical incompatibility issues.

The U.S. needs to build a national infrastructure in engineering and manufacturing R&D that parallels its scientific infrastructure. While it makes all the sense in the world, it is not happening.

On June 22-23, SME hosted a Smart Manufacturing Working Group meeting at Texas A&M University (College Station, TX) followed by an international workshop on Smart Manufacturing for the Factory of the Future.

For Dale Mickelson, Yasda product manager at Methods Machine Tools Inc. (Sudbury, MA) and author of several books on hard milling, tackling heat-resistant superalloys (HRSAs) requires the perfect combination of machine, workholding, tooling, tool paths and coolant.

Simulation tools are making it much easier for manufacturers to optimize their processes, visualizing the entire path of production from NC metalcutting simulations through 3D design and factory-floor imaging.

Your father’s Oldsmobile may be long gone but his B-52 is still pulling missions, and they haven’t built the “BUFF” (Big Ugly Fat Fellow) since 1962. The last KC-135 tanker was built in 1965. Besides aging warbirds (the average plane in the US Air Force is over 28 years old) there are hundreds of ancient civilian airliners carrying friendlier payloads everyday. The key to doing this safely is of course excellent maintenance and periodic upgrades. Laser scanning plays an essential role.

In addition to carbide, ceramics, and cermet, the drive to create the hardest possible cutting tool materials has given us the alphabet soup of PCD, PCBN, CVD-D, and MCD (polycrystalline diamond, polycrystalline cubic boron nitride, chemical vapor deposition diamond, and mono-crystalline diamond, respectively).

Data management and the maintenance of clean, usable data for asset performance metrics pose great challenges for manufacturers today.

Consumer expectations have shifted to almost unrecognizable levels, catalyzed by innovative tech companies like Amazon, Lyft and Netflix. Previously acceptable levels of customer service are no longer good enough. Customers now expect real-time support and answers to complex questions at the ready, at a minimum.