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Today’s virtual technology enables faster and better product development. Planes, trains and automobiles are defined in CAD, subjected to virtual tests to see how they might fail, re-designed, virtually manufactured and virtually shown to customers to confirm market acceptance.

As a provider of automation equipment and software, our company is immersed in this ongoing, revolutionary, data-driven ride, and we’re anticipating a new trend: our customers are not just automating their traditional subtractive methods.

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.

Manufacturing automation is trickling down from the massive automotive assembly lines toward the “mom and pop” machine shop. As you take your first look at automation, consider the benefits of and barriers to this technology.

The Digital Manufacturing and Design Innovation Institute (DMDII) will be renamed MxD and will stand as an independent organization from UI LABS, now that it has achieved strong momentum and robust fiscal health, the organization said today.

Cheaper robots with more functions, along with more flexible work cells and installations that facilitate robotics, are accelerating the growth of automated manufacturing facilities in the non-automotive sector. Ideas on whether robotics and automation lead to lights-out manufacturing on the shop floor, though, are mixed.

To date, GBneuhaus has only produced its nanotech-enabled coatings in Neuhaus am Rennweg, a small village in the state of Thuringia. But that’s about to change: The 28-year-old firm in June founded a company in Pune, India, and will soon begin producing its antimicrobial coating there.

There’s a type, geometry and coating for virtually any application or material.

The range and requirements of flexible machining cells are increasing.

Predictive maintenance is a way to predict every possible scenario of hardware failure, identifying when maintenance is required and alerting maintenance staff, when necessary, as well as providing preventative solutions.