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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.

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.

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.

When the Italian company JDeal-Form (Oleggio, Italy) started using additive manufacturing to apply a micronized polymer coating to the underwire tips and bra straps it sold to brassiere makers, CTO Davide Ardizzoia grew frustrated with his AM vendor’s constant lateness.

In the near absence of academic programs to teach undergraduate engineering students additive manufacturing, a California-based startup has stepped in to help fill the void through internships.

Aerospace and defense manufacturing is known for its complex designs, continual changes and the need to negotiate tight margin requirements. At Elite Aviation Products (EAP), a division of Elite Aerospace Group (Irvine, CA), we face these challenges every day.

My original intention for this column was to discuss a phrase getting a lot of buzz lately, artificial intelligence (AI). By any measure, interest in AI is expanding exponentially, both in the number of articles one can read on the subject and, according to Google Trends, the number of searches for those articles.

A fused filament 3D printer has saved a custom outdoor lighting manufacturer tens of thousands of dollars a year, improving operations and winning more business. The purchase also helped retain customers who would previously have gone elsewhere for specialized parts.

Additive manufacturing lets companies think “outside the box.” Engineers can now start to look at a part without restrictions on size, shape or material. Instead of taking 15 different CNC milled parts and brazing them together, these companies have reimagined the part entirely—to be built as one part.

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.