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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.

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.

Machining aerospace materials is a challenging task. Not only are machining operations tightly controlled, a wide variety of workpiece materials are employed, including aluminum, titanium, and carbon-fiber reinforced plastics (CFRPs). The following is a brief guide to cutting tool options for successful machining of airframe components. All of the tools referenced are manufactured by Mitsubishi Materials.

In the early days at CNC Software, we saw that our Mastercam CAD/CAM system was only part of a larger manufacturing solution and that an open architecture foundation could allow seamless data communication with complementary devices and systems across the shop floor.

Composite materials have clear benefits for manufactured parts in aerospace, medical, automotive applications and many other industries. Ensuring the highest part accuracy is critical. Force measurement and material testing are essential processes for product designers and manufacturers to gain insightful data to create high-quality composite components.

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.

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.

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.

I’m among the first to dive into the latest manufacturing innovations and see how they can improve our customers’ operations. Yet, I’m also among the first to advise them to pause and ensure that the fundamentals of their manufacturing processes are in place before adding something new into the complex mix of functionality and desired outcomes.

Intelligent factories have existed since manufacturing’s historical inception, but intelligence—defined as the acquisition and application of manufacturing knowledge—resided only with the factory’s staff.