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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.

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.

Precision Honing Powers Champion Racing Teams

In auto racing, small details have a major impact on success—a concept very familiar to performance racing parts provider Oliver Racing Parts (Charlevoix, MI). Oliver produces performance connecting rods for the world’s leading engine builders.

High-Speed Cutting for Small Precision Parts

Dau Thermal Solutions Inc. (Macedon, NY) was finding that its spindle speeder was definitely not up to speed when it came up against the test results for NSK’s HES510 series electric spindle.

The Wide World of Deburring and Refinishing

Burrs, sharp edges, and rough surfaces plague even the most precise metal-cutting or forming process. Deburring and finishing can often be treated as the step-child of a manufacturing process, but its importance is growing as tolerances get tighter and precision devices become the norm.

EDM Expands into New Territories

The use of electrical discharge machining, or EDM, is spreading as manufacturers need more precisely cut workpieces, often made from tough to machine materials.

Metrology Gets Connected

“Metrology and its relationship to manufacturing is rapidly evolving,” Ken Woodbine, president, Wilcox Associates, a brand of Hexagon Metrology (North Kingstown, RI), recently observed. “We are seeing larger quantities and faster speeds of measurement data collection. The next challenge is what to do with all that data.”