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Automotive Industry Warms to 3D Printing

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.

Manufacturing and AI: Promises and Pitfalls

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.

Tool Presetters Take On Industry 4.0

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.

SyncFab, NTMA Set to Boost Supply Chain on Blockchain

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.

Artificial Intelligence Comes to CAD

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.

Setting Sights on Holy Grails in AM

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.

How to Automate to Efficiency Without Sacrificing Agility

There is no shortage of competition in a global market. As a manufacturer trying to get ahead of the pack, automation can help with problems like a limited skilled labor force, quality control issues and suboptimal throughput. But the high initial cost and extended implementation time can be deterrents.