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.
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.
As additive manufacturing (AM) moves from prototypes to mass production, manufacturers are setting their sights on the holy grails—the products and processes that will be game-changers. Many game-changers are already in play.
As with any digital transformation process, the devil is in the details, and there are many potential pitfalls that can derail projects.
The U.S. Department of Defense (DoD) is set to award $10 million in funding this year to the Digital Manufacturing and Design Innovation Institute (DMDII) here, UI Labs CEO Caralynn Nowinski Collens, said this morning. UI Labs is DMDII’s parent organization.
Swiss-style machine tools can be a good choice for making complex parts. On the downside, however, Swiss machining itself has a reputation of being complex—and, therefore, more difficult to master than standard machining.
To produce complex titanium parts more cost-effectively, machine shops are increasingly incorporating advanced forging equipment to complement their existing CNC capabilities.
In today’s ever-changing environment, planning—and investing in next-generation solutions—is more critical than ever.
As hackers become more sophisticated and dangerous, manufacturers need to step up their cybersecurity efforts.
Digital twins are breathing life and innovation into increasingly more areas of manufacturing as well as solving challenges for machine shops of all sizes. With the skilled labor shortage and an ongoing effort to reshore high-tech manufacturing to the U.S., digital twins have a lot to offer.
