Many people want to implement IoT in their factories, and with the abundance of IoT platform technologies out there, they think it’s a breeze. But many challenges await those who don’t think things through carefully—challenges for which traditional IoT platforms do not have effective solutions.
In the aerospace world, as in all sectors of manufacturing, the race is on for faster, more automated and connected machining operations. Aerospace builders have steadily pushed for more automotive-like automation over the past several years in order to improve productivity and more effectively handle large order backlogs in commercial aviation.
Today, the ideal factory can achieve levels of self-controlling (and perhaps self-learning) production processes, in which production reacts autonomously to changes or faults and takes appropriate measures.
New work materials are developed continually to improve the capabilities of finished parts, making them lighter and stronger, among other properties. When these materials catch on, cutting tools must adapt to their often challenging properties.
CENIT AG is negotiating the acquisition of all shares in Keonys S.A.S., Paris, one of the leading European PLM specialists based on the software products of Dassault Systèmes.
The ongoing digital transformation of manufacturing comes baked-in with many uncertainties, and the automotive business is no exception.
Lasers — well-established tools in the manufacture of medical devices—are continuing to break ground by producing smaller, more precise and more functional parts thanks to faster pulse speeds at lower cost, new applications and the marriage of laser processing to Swiss-style machining.
In an interview with Manufacturing Engineering Editor in Chief Alan Rooks, DIEGO TAMBURINI, senior design and manufacturing industry strategist for Autodesk, details key strategies for remaining competitive and spells out the IIoT opportunity for manufacturers.
In an effort to make products better, faster and stronger, the manufacturing process has grown significantly more complex in recent years. Technology and automation play much larger roles. The supply chain is longer and more diverse. Measuring processes with an eye on improving performance, finding efficiencies and increasing the bottom line has become all consuming.
How new CAD/CAM programming and simulation software can help address additive manufacturing processes.
