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In the fast-changing world of motorized vehicle manufacturing, supply chain companies are now offering numerous software suites, bringing digitalization software and customizable applications to machine tool builders, alongside CNC hardware and operating software.

Tolland, Conn.-based CNC Software Inc., developer of Mastercam CAD/CAM software, announces the release of Mastercam 2020. The new release increases machining productivity and reduces overall production costs with new 2D through multiaxis milling automation features, CAD and model preparation improvements, improved machine configuration, 3D tooling, and more.

SyncFab will give more than 1,300 National Tooling and Machining Association (NTMA) members access to its advanced manufacturing blockchain platform, the company said today. As the national representative of the precision custom manufacturing industry, NTMA members generate more than $30 billion in sales combined.

Marshall Aerospace and Defence Group is now using 3D printing from Stratasys to manufacture flight-ready parts for several of its military, civil and business aircraft—while producing specific ground-running equipment at a lower cost than aluminum alternatives.

At this week’s RAPID + TCT show, there was an emphasis on how 3D printing was part of the present and not so much part of a distant future. Various companies – from makers of 3D printers to suppliers of materials – talked about how additive manufacturing is part of the present.

GF Machining Solutions will unveil four new products for the first time in North America at its 2019 GF Solutions Days: the AgieCharmilles CUT C 350; the Microlution ML-10 and MLTC; and the DMP Flex 350.

My first experience with additive manufacturing was 10 years ago when I managed a project to develop a 3D-printed, remotely piloted aircraft. Within this program, a 3D-printed parts producer, that mainly printed prototypes at the time, collaborated with a university and an aerospace systems manufacturer.

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.

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.

Simulation in manufacturing is becoming much more pervasive. Advanced visualizations are used everywhere, from machining on shop-floor CNCs to offline CAD/CAM programming of NC equipment.