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.
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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.
New systems, software and processes are replacing so-called islands of automation with seamless, automated manufacturing lines that boost overall equipment effectiveness (OEE) from 30 to 80% or more.
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.
A decade removed from the Great Recession, the U.S. job market is thriving. Because employers are struggling to fill empty positions, they must explore other ways to increase production needs.
Artificial intelligence will go long way to imbue data management with trust.
Automotive manufacturers and their Tier One suppliers spend endless engineering hours developing the PAB (passenger airbag) system, from the airbag and its propellant to the construction of the materials used in the composite instrument panel.
Winthrop Sheldon of SLM Solutions spoke with Editor in Chief Brett Brune at the Aerodef 2017 conference in Texas.
The average lifespan of a company on the S&P 500 has fallen to 20 years from more than 60 years in 1960. The power and influence of technology will increase as much in the next 18 months as it has in the last 30 years.