The need for smart data to handle risk management strategies in supply chain production and logistics are badly needed.
Chinese manufacturing is struggling to keep pace after a very strong 2020 due to heavy levels of demand, but the overall picture remains positive.
North Carolina State University have developed a process that makes use of existing industry standard techniques for making III-nitride semiconductor materials, but results in layered materials that will make LEDs and lasers more efficient.
The University of Toledo Institute of Applied Engineering Research (IAER) is working on advanced manufacturing with a focus on additive manufacturing.
Texas A&M researchers have developed a method that optimizes alloy properties and process parameters to create superior 3D-printed metal parts.
Researchers from the U.S. Military Academy at West Point and North Carolina State University developed a model to help determine how to incorporate additive manufacturing (AM) technologies into spare part supply chains.
MIT researchers are integrating sensing capabilities into 3D printable structures comprised of repetitive cells, which enables designers to rapidly prototype interactive input devices. See video.
More additive manufacturing is expected, lower costs, higher speeds with 20 part numbers available. Depending on the complexity of the part, the technology can print 60 to 100 times faster than other laser-based printing processes, allowing high-volume production.
MESA International is developing a smart manufacturing model that will provide specific recommendations on how people can be smart in their manufacturing endeavors.
Northwestern Engineering researchers have developed a lens produced by electromagnetic methods that allows researchers to print structures on challenging surfaces.