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Moldmaking is making a comeback, with more reshoring to North America of mold-and-die manufacturing that left for the Far East and other low-cost manufacturing centers. With faster metalcutting through high-speed machining (HSM) and improved EDM techniques, mold-and-die shops are finding innovative ways to compete with manufacturing operations in traditionally low-cost labor markets.

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.

Nesting is the process of arranging parts to be cut from sheets of metal or wood in the most efficient manner possible in order to maximize yield and speed the cutting process. By reducing scrap and accelerating the cutting process, fabricators are saving on material cost while running more jobs.

Turning to software over paper reports does more than just save trees. Chris Mahar, Associate Editor of Manufacturing Engineering, talks with David McPhail, President and CEO of Memex Inc., about how manufacturers can utilize technology to improve efficiency, reduce downtime and boost productivity and profits across their business.

Manufacturers require a deep understanding of operations to make quick, data-driven decisions and keep production running in the face of unpredictable challenges.

To climb the Mastercam learning curve, Ariel Corp. worked with CNC Software to craft a training course for its workforce.

The complex world of artificial intelligence and machine learning—and why it all matters

Materials.AI is trained on Fictiv's manufacturing data to help mechanical engineers navigate material options.