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.
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.
For machine shops in a competitive global marketplace, keeping spindles running and making product is the only way to stay in business. Still, adding a new piece of equipment, even with the promise of improving the efficiency of your existing ones, may be a difficult sell to management.
We all know the buzzwords circulating around digital data and the factory. You have heard them—Industry 4.0, smart factories, data analytics, and artificial intelligence (AI). The question we all have is how will this impact workers in the long term? What do these terms really mean? Nevertheless, both traditional software suppliers and makers of advanced manufacturing equipment are offering digital solutions.
Because its president saw opportunities to improve efficiency and an immediate need to make up for capacity lost due to impending worker retirements, Daiwa Steel Tube is set to save more than $1 million a year.
