Siemens and Qualcomm Technologies, Inc. have implemented a private 5G standalone (SA) network in a real industrial environment using the 3.7-3.8GHz band.
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It’s a sad fact of practically all metal removal operations that, no matter how sharp the tool or free-machining the material, there are going to be burrs, hanging chads, ragged corners, and other edge quality issues that must be dealt with before calling the workpiece complete.
What does the future of the world have in store for mankind? That question was posed by Autodesk CEO Andrew Anagnost at the Autodesk University 2019 opening keynote on Nov. 18 and helped set the stage for the rest of the week at the event in Las Vegas Nov. 18- 21.
Boeing Co., which had wanted to return the 737 Max to service this month, threw up the surrender flag on Dec. 16. The company said it will suspend 737 Max production in January.
Marposs said its new Mida Hyper Probing software can achieve an 80% reduction in cycle time, ensuring fast and precise probing.
Engineering information is both pervasive and essential within manufacturing plants. And, it changes constantly as a result of maintenance-related adjustments, alterations in plant processes, or the swap-out of components.
Technology came to the aid of Detroit Tigers management when they hoped to recapture some of the magic of the 1968 Detroit Tigers’ World Series-winning season. The 50-year anniversary celebration, held September 7-9, 2018, included on-field festivities in which the 16 surviving members of the 1968 team were presented with replicas of the World Series’ trophy.
Efficient creepfeed grinding can remove material quickly and produce a precision ground surface on challenging materials. However, since creepfeed grinding applications typically draw more power and have higher forces, there are important considerations to pay attention to during application setup.
The growing skills gap is causing trepidation among manufacturers and the lack of millennials building careers within the industry is part of the concern.
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.