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The Commonwealth Center for Advanced Manufacturing (CCAM), Prince George County, Va., brings together industry, academia, and government to solve advanced manufacturing challenges.

CNC Software Inc., Tolland, Conn., the developers of Mastercam, has announced the winners of the 2018-2019 Wildest Parts Competition. The Wildest Parts Competition is held each year to encourage student interest and participation in manufacturing.

Well into the 21st century, the medical industry faces a host of intriguing challenges, from aging populations to a growing range of personalized and at-home diagnostic and care devices—all set against a backdrop of increasing digital collection, transfer and storage of sensitive patient data.

Maybe your company specializes in aerospace or medical components, and you need to produce complex geometries in metals too tough to cut via conventional machining methods.

McDermott International is using Digital Twins to grow its business and to keep information flowing instead of trapped in silos.

Connected manufacturing and digitization technologies are spurring many of the major innovations in CNC machine controls that help machine shops cut metal and create parts as quickly and efficiently as possible.

Sensors are making their way deeper into process manufacturing where they monitor PH levels in vinegar, ensure towering bins of sugar aren’t overfilled and measure humidity in bakeries. Sensors are even helping power better mousetraps.

California Polytechnic State University’s (Cal Poly) Industrial and Manufacturing Engineering (IME) Department is ensuring its students are prepared for the future of fabrication by integrating abrasive waterjet into its curriculum.

Cloud computing helps any kind of manufacturing with cybersecurity, efficiency, on-call scalability, and Industry 4.0. But for medical manufacturers, cloud computing brings additional critical benefits.

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.