With the passage of the fiscal year 2021 Consolidated Appropriations Act at the end of 2020, MxD, the national digital manufacturing institute, secured $8.5 million in funding from the U.S. Department of Defense for 5G for manufacturing and cybersecurity for arsenal supply chains.
At Temescal Canyon High School in Lake Elsinore, Calif., I’m fortunate to work in a district that is supportive of career-oriented programs.
As one of the oldest and most prestigious research-lead universities in Europe, KU Leuven is an institution that is always seeking to innovate and stay on top of the latest trends and technologies. When it comes to manufacturing, the institution is an advocate of additive processes and dedicates a research group to the technology.
Before harmonizing new technology onto the manufacturing floor, critical steps include determining the business problems to be solved and securing buy-in from all stakeholders, industry leaders said recently during an AeroDef conference panel talk on manufacturing production harmonization.
FANUC has made real one of the promises of Industry 4.0, that of predictive maintenance for factory equipment, with its Zero Down Time IoT solution. ZDT can be applied to any of FANUC’s robotic arms and their peripherals.
With today’s focus on lightweighting, hollow parts made from composite materials—such as ducting, fuel tanks, mandrels, and rocket shrouds—are in higher demand than ever before.
In my capacity as the Chair of the Council of the Manufacturing USA institute directors, I often get asked about trends in U.S. advanced manufacturing.
Much has been written about potential applications for 5G. But a less well known application exists in the aerospace and defense industry—that pertains to manufacturing processes.
Marshall Aerospace and Defence Group is now using 3D printing from Stratasys to manufacture flight-ready parts for several of its military, civil and business aircraft—while producing specific ground-running equipment at a lower cost than aluminum alternatives.
The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.