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Ready for Ransomware?

The nexus of cyber and physical security threats is the stuff of nightmares, and while manufacturers are waking up to it as a reality, experts worry that the awakening is happening too slowly.

Northwestern U Doctors, Scientists Outline New AM Materials for Medicine

PITTSBURGH—Doctors and scientists at Northwestern University have been working diligently for about seven years to bring new materials to clinics that handle plastic and reconstructive surgery, as well as transplants, Sue Jordan, chief resident in plastic and reconstructive surgery at Northwestern Memorial Hospital, told a crowd gathered to hear her speak today at the RAPID + TCT show.

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.

Structured Vision in Manufacturing

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.

Detroit Tigers: Reverse-Engineered World Series Trophy Honors ’68 Tigers

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.

Optimization Module Tackles Tough Materials

Most anyone who’s worked in a machine shop for any length of time has at some point attended a trade show or machine tool distributor’s open house. There they see canned demonstrations of CNC machines busily carving up chunks of brass, mild steel, or aluminum into business card holders and tic-tac-toe games.

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.