In my capacity as the Chair of the Council of the Manufacturing USA institute directors, I often get asked about trends in U.S. advanced manufacturing.
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Manufacturing faces “continued risk for disruption” and uncertainty in 2020, consulting firm Deloitte said in a report.
Mahr Inc., a global manufacturer of precision measurement equipment, will host a grand opening of its new Midwest Regional Customer Center July 25-26.
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.
Amada America Inc., Buena Park, C.A., a supplier of precision sheet metal production equipment and related systems, has expanded its customer coverage in the Southeast with the opening of a 190,000 ft2 (17,652 m²) manufacturing facility near High Point, N.C.
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.
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.
There’s a whole choice of edge finders that work and function in different ways. Let’s take a look at them to better understand the advantages and disadvantages and hopefully help you to choose the best one for you.
FANUC has made real one of the promises of Industry 4.0, that of predictive maintenance for factory equipment, with its Zero Down Time IoT solution. ZDT can be applied to any of FANUC’s robotic arms and their peripherals.
Metrology-grade laser scanners are expanding their range of applications. New users are finding the main attractions of laser scanners—speed and ease of use. What prevented more widespread use in the past were laser scanners’ perceived tradeoffs. Using one usually meant sacrificing accuracy or working with noisy data.