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Modern manufacturing is rapidly adopting model-based definition (MBD). When employing an MBD strategy, the CAD model becomes more than the nominal to which all parts are measured and inspected against. MBD keeps the all-important digital thread intact—from design to manufacturing to inspection and quality reporting.

“Metrology and its relationship to manufacturing is rapidly evolving,” Ken Woodbine, president, Wilcox Associates, a brand of Hexagon Metrology (North Kingstown, RI), recently observed. “We are seeing larger quantities and faster speeds of measurement data collection. The next challenge is what to do with all that data.”

The classic manufacturing conundrum is how to make products quicker, cheaper, and better.

Why use a metrology device on or near a machine tool? It isn’t just useful for making sure a tool is present or monitoring tools for wear or breakage. On-machine measurement technologies can save time and money, by speeding up processes and eliminating extra personnel, and they are a critical step in the movement towards “lights-out” manufacturing.

The most important step in digitizing any manufacturing or supply chain process is analysis of the ROI and business case and being able to demonstrate success to company leaders.

Capture 3D becomes part of the ZEISS Industrial Quality & Research segment, following ZEISS acquisition of GOM, makers of the ATOS systems Capture 3D resells.

Fastems has published “The CNC Automation Guide for Existing Machine Tools” to help manufacturers through a transition into using FMS.

Industrial computed tomography is a cost-effective, reliable way to meet intensifying requirements for qualifying both the design of aerospace parts and the materials needed for their construction.

Big things are happening in the aviation maintenance, repair and operations (MRO) market: the first industry-wide material allowables for metal additive manufacturing (AM) parts are anticipated to be released this autumn.

In the AI world, fear is driven by unfamiliarity with the process, the professional impact of failure and the daunting tasks of pulling together all of the people and perspectives required just to get started. Here are three key lessons learned from our work with Rolls-Royce and Gulfstream that will clear your AI project for takeoff.