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In Donald, Ore., 24 miles south of Portland, GK Machine Company Inc., is manufacturing parts for heavy agricultural equipment such as harvesters, sprayers, tree diggers, and hose reels.

Anyone who’s worked with wind turbine blades or just seen one up close can attest to the massive size of these clean-energy workhorses. Ever thought about what happens to that costly, high-tech material once the blade reaches the end of its lifespan in 20 years or so?

Going into this year, economic improvement was forecast for manufacturing after a sluggish second half of 2019. Things weren’t expected to boom, but a solid economic year was supposed to be in the offing.

AS A TEAM OF FOUR MANUFACTURING engineering undergraduate students from Western Washington University (Bellingham, WA), we had our minds blown within seconds of walking onto the RAPID + TCT show floor when we attended the event, April 23-26, in Fort Worth, TX.

There’s a whole choice of edge finders that work and function in different ways. Let’s take a look at them to better understand the advantages and disadvantages and hopefully help you to choose the best one for you.

Erik Anderson, president and CEO of Basin Precision Machining LLC, has determined that setups are the root of all evil when it comes to manufacturing productivity. They cause part variations, downtime, and high-percentage scrap rates.

NASCAR champion Brad Keselowski has joined the ranks of entrepreneurs in the metalworking industry while continuing his successful racing career.

Changes in health care are driving more innovative tooling, including new machining strategies and complex cutting tools that help deliver more patient-centered solutions.

Marshall Aerospace and Defence Group is now using 3D printing from Stratasys to manufacture flight-ready parts for several of its military, civil and business aircraft—while producing specific ground-running equipment at a lower cost than aluminum alternatives.

The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.