Skip to content
SME Search Search Results

Displaying 31-40 of 1108 results for

Smart Manufacturing clear Stamping clear Forming & Fabricating clear Assembly & Joining clear Fabrication clear Product Design & Engineering clear Robotics clear Plant Engineering & Maintenance clear Measurement & Metrology clear Casting clear Welding & Cutting clear

Time for Monumental Thinking in Additive

As additive manufacturing emerges from a long infancy, the industry is grappling with a key challenge: A file format and design tools from the 20th century are being asked to do 21st century jobs.

The Ins and Outs of In-Line Automated Inspection

The challenges to manufacturing as it evolves into the 21st century are now familiar, and impact how metrology must contribute. Manufacturers face uncertain production volumes with roller-coaster demand, shorter production runs and faster product development cycles. Automation, while alluring as a way to reduce cost, needs to adjust.

Data-Driven Manufacturing

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.

Amada Opens New N.C. Plant; Tech Center to Follow

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.

Contain the Risks of Obsolete Engineering Information

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.

Laser Scanners Demand Attention as Technology Improves

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.