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Who Controls Feedstock Used in 3D Printers?

Should the US Copyright Office oversee whether 3D printer operators can use feedstock not approved by their machine’s maker to turn out medical devices or airplane parts, or is that the role of the US Food and Drug Administration (FDA) and US Federal Aviation Administration (FAA), respectively?

The Quest for Safer 3D Printing Materials

When Desktop Metal introduced its “office-friendly” Studio metal prototype printer earlier this year, the company renewed attention on the issue of safer materials for binder jetting, an additive manufacturing method.

Busting the Myths about Artificial Intelligence

Manufacturers face a difficult task juggling the current “innovation agenda.” Today, the Industrial Internet of Things (IIoT), robotic automation and artificial intelligence (AI) are all poised to be the next big thing.

Walking the Talk at IMTS 2018

I just returned from IMTS in Chicago and my first thought was, “where will I be able to rack up all those bonus steps I got last week?” On the easiest day, I walked 7.9 miles, and I topped 10 miles on two other days. It’s easy to understand why.

Metrology, Product Design and the Next Revolution

When I graduated with an engineering degree some decades ago, I learned that the organizations I was going to work for had internal communication problems. This was especially true for those that designed and manufactured complex machinery such as engines, aircraft, or automobiles.

2030

SME’s Smart Manufacturing Hub will be part of IMTS this year. Smart Manufacturing asked past Hub speakers to imagine what manufacturing will look like in 2030. Here are their visions:

Students Experience RAPID + TCT Show

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.

Real Thinking About Artificial Intelligence

My instincts tell me we need a sense of urgency around the use of artificial intelligence (AI) in manufacturing. The urgency is driven by how quickly technology can move today, and how an unexpected breakthrough can quickly dominate.