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The COVID-19 pandemic clearly proved challenging to the manufacturing industry in myriad ways. Now, as nations and industries begin to navigate their way forward as restrictions are lifted, manufacturers have an opportunity to put into practice some lessons learned.

ORNL has partnered with MSC Industrial Supply to deliver a service that improves the material removal rate of existing equipment by a factor of three, on average, by correctly using cutting conditions based on measurements.

Trumpf Inc. named a new chief financial officer.

IMTS to highlight three important subjects, one pavilion, multiple buildings.

Nuclear power has long been a clean, dependable source of energy throughout the world. However, as power plants age, concerns grow on their continued reliability. There are many components that make up the infrastructure of a nuclear power plant with the design intent to reduce radiation and contamination exposure to personnel, equipment, and the surrounding environment.

With the number of offline and in-process toolsetting options on the rise, developing a way to efficiently utilize this technology can be confusing. Which presetter should we buy? What about the software that’s so often part of these systems—do we really need it?

Located in their new North American Tech Center, LK Metrology offers a new CMM measurement services department for performing contract dimensional inspection.

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.

Mitutoyo America Corp. has announced a sponsorship agreement with Titans of CNC, a free project-based education platform that helps guide students and teachers on CNC machine operation and programming.

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.