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.
McDermott International is using Digital Twins to grow its business and to keep information flowing instead of trapped in silos.
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.
One of the foundational aspects of Industry 4.0 protocols is the creation of electronic “digital twin” models of product data and production processes. This includes an exact replica of all machine tools, including complex work envelopes showing the particular spindles, fixtures, and cutting tools.
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.
If “automation” is the constant drone you hear from practically everyone in metalworking these days, job shop owners might be the only people yelling “No!” Or at least “Wait!” How, they ask, can you cost-effectively automate low-volume, high-mix parts? Yet it’s not only doable but probably necessary.
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.
Nobody knows just yet how the auto industry will adopt 3D printing. But Desktop Metal Inc. (Burlington, MA) is in a better position than most to make an educated guess.
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