While suppliers are under more pressure than ever to produce precision parts faster and with less scrap, in-process metrology means manufacturers can detect as soon as possible when a part is going wrong, correcting the issue quickly and saving it from scrap.
CMMs and other multifunctional metrology devices are becoming faster and more sophisticated, but top-quality gages and measuring tools still have an important place.
The international refrigerant manufacturer is using HART-enabled instrument technologies and tools, combined with AI, to optimize maintenance and equipment management.
Middleton, Wis.-based ACI is joining Dwyer Instruments, Omega Engineering and Universal Flow Monitors under the DwyerOmega brand.
Mazak's 'Discover 2023' event showcased a future-focused approach to manufacturing, featuring cutting-edge technology, automation insights, and disruptive solutions. Learn how companies are thriving in a challenging industry landscape.
Learn from industry experts about the latest breakthroughs, challenges, and the limitless potential of AM. Get ready to witness a revolution in how we design and produce vital components for the industry.
ANCA celebrates 50 years of technological innovation. With private ownership at its core, ANCA remains at the forefront of the tool industry, poised for a future of transformative advancements under the leadership of general manager Edmund Boland.
Located in their new North American Tech Center, LK Metrology offers a new CMM measurement services department for performing contract dimensional inspection.
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.
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.
