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.
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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.
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.
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.
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.
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.
Our focus has always been on helping manufacturers improve quality, productivity and visibility. In Sight Machine 2.0, among other things, we’ve added a set of enhancements to improve visibility.
The demand for titanium components by the aerospace industry began as a whisper about 15 years ago and steadily grew to a sustained, raucous shout over the last five and likely won’t quiet for several more.