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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.

The auto industry wants to expand the use of 3D printers. Automakers such as Ford Motor Co. and BMW AG are working directly with additive manufacturers concerning deployment of the technology.

When it comes to the production of high-precision parts for industries ranging from aerospace to medical, grinding remains the best, most cost-effective approach to obtaining fine surface finishes and tight tolerances.

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.

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 Grinding Symposium 2019 hosted by the United Grinding Group attracted hundreds of journalists, customers, and other stakeholders from around the world. Held near its Studer subsidiary’s plant in Thun, Switzerland, the scenery of the Alps and a warm welcome was combined with a purpose: education.

SyncFab will give more than 1,300 National Tooling and Machining Association (NTMA) members access to its advanced manufacturing blockchain platform, the company said today. As the national representative of the precision custom manufacturing industry, NTMA members generate more than $30 billion in sales combined.

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.

Cyber criminals are increasingly setting their sights on today’s digitized manufacturing industry as an entry point into government and commercial supply chains.