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Troy, N.Y.-based Hudson Valley Community College is building a $14.5-million, 37,000-sq.-ft. advanced manufacturing center to train CNC machinists, toolmakers, CNC programmers, and industrial maintenance personnel. The Gene F. Haas Center for Advanced Manufacturing Skills (CAMS) is expected to be completed this May and open in September.

Desktop Metal, the company committed to making metal 3D printing accessible to engineers and manufacturers, today announced the launch of H13 tool steel for the Studio System, the world’s first office-friendly metal 3D printing system for prototyping and low volume production.

Simcenter Testlab enables better usage of test-based data, from design and simulation to validation and certification.

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.

Today’s virtual technology enables faster and better product development. Planes, trains and automobiles are defined in CAD, subjected to virtual tests to see how they might fail, re-designed, virtually manufactured and virtually shown to customers to confirm market acceptance.

As a provider of automation equipment and software, our company is immersed in this ongoing, revolutionary, data-driven ride, and we’re anticipating a new trend: our customers are not just automating their traditional subtractive methods.

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.

Tool data management solutions provider TDM Systems (Schaumburg, Ill.) will showcase a variety of its tool data management software and digital solutions and offer insights into its several new initiatives in smart manufacturing in booth 1444 at AeroDef 2019, April 29-May 2, 2019, in Long Beach, Calif.

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.