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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.

High QA, Inc., the developer of Inspection Manager Quality Management Software, has established a headquarters operation in Sevenum, Netherlands, to directly serve its customers on the European continent.

Software AG (Frankfurt, MDAX: SOW) announced an original survey of over 125 North American manufacturers in the heavy industry and automotive sectors that revealed they are unable to scale their Industrial Internet of Things (IIoT) investments across their enterprises, and therefore are losing millions of dollars in potential profits while falling behind competitors that have invested in enabling technologies that support IIoT across the enterprise.

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. In most cases, software leads the way in helping both CNC programmers and operators on the shop floor to easily manufacture parts with the highest possible precision.

Implementing five-axis machining can be an excellent strategy for efficiently producing accurate, complex parts. However, it takes more than the right machine tool to realize the full potential of a five-axis process. In addition to the right machine, tooling and fixturing options, CAM software must be selected carefully.

Manufacturers require a deep understanding of operations to make quick, data-driven decisions and keep production running in the face of unpredictable challenges.

Materials will be subjected to moon dust, low pressure and rapid temperature swings.

To climb the Mastercam learning curve, Ariel Corp. worked with CNC Software to craft a training course for its workforce.

The complex world of artificial intelligence and machine learning—and why it all matters

Materials.AI is trained on Fictiv's manufacturing data to help mechanical engineers navigate material options.