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Changes in health care are driving more innovative tooling, including new machining strategies and complex cutting tools that help deliver more patient-centered solutions.

Technology came to the aid of Detroit Tigers management when they hoped to recapture some of the magic of the 1968 Detroit Tigers’ World Series-winning season. The 50-year anniversary celebration, held September 7-9, 2018, included on-field festivities in which the 16 surviving members of the 1968 team were presented with replicas of the World Series’ trophy.

Rod Zimmerman of cutting tool manufacturer Iscar Metals lives in a pleasant green zone in a Fort Worth suburb. Yet within a half mile of his home, an oil company has sunk a vertical hole 7,500′ (2,286 m) deep, from which it has splayed nine lateral lines, each going about half a mile.

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.

One of the key advantages of additive manufacturing is its digital thread, which allows for rapid communication, iteration, and sharing of a design model and its corresponding physical representation. While this enables an efficient design process, the flow of data opens vulnerabilities to cyber-attack.

The U.S. auto industry has been automated for decades. Production of cars and trucks is associated with large, hulking robots fenced off from human employees. Inside those fenced off areas, tasks such as welding are performed. The industry, though, is advancing on the automation front.

The world of additive manufacturing (AM), commonly referred to as 3D printing, is quickly changing. The technology allows companies to manufacture products faster, with greater variation, and often with entirely new forms and functions.

The state of manufacturing is always a combination of tried and true methods; improvements (sometimes dramatic) in traditional processes; and brand new technology few people even conceived of a few years ago.

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.

Structured light systems measure surfaces by projecting a pattern of fringes, then using cameras and sophisticated software to convert them into point clouds of metrology data. Accuracy can reach the single-digit microns over millions of points.