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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.

More Profitable Toolpaths

Adaptive Milling. Dynamic Motion. hyperMILL. Profit Milling. VoluMill. Waveform machining. If you’re one of the lucky people who machines parts for a living, chances are about 50-50 that you’re using one of these or a comparable high-performance programming technology.

Swiss Machining Made Simpler

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.

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.

Aerospace Machining Solves Challenges Big and Small

Aerospace machining encompasses machines small and large. These range from the Tornos SwissNano to the Makino MAG3, as Rich Sullivan put it. He is the OEM manager for Iscar Metals Inc., Arlington, Texas.

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.