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.
In 2018, CNC Software Inc., Tolland, Conn., reached several milestones: its 35th anniversary as a company, 250,000th installation, a new user website and the introduction of Mastercam 2019.
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.
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.
In Donald, Ore., 24 miles south of Portland, GK Machine Company Inc., is manufacturing parts for heavy agricultural equipment such as harvesters, sprayers, tree diggers, and hose reels.
Five-axis machining, once a novel and somewhat forbidding technology, has become routine in many shops. Meanwhile, some organizations are still hesitant to use it, largely due to programming concerns.
The new Metrology Gate portal from LK Metrology provides remote access to information of connected metrology devices