Artificial intelligence will go long way to imbue data management with trust.
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.
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.
Applications and new players are on the rise, but challenges remain—including financial concerns.
With today’s focus on lightweighting, hollow parts made from composite materials, such as ducting, fuel tanks, mandrels, and rocket shrouds, are in higher demand than ever before. The composite ducting market in the aerospace and defense sector alone is expected to reach $864.7 million by 2024, according to a recent report from Stratview Research.
A Michigan company that displays instructions for manual manufacturing processes on work stations via augmented reality (AR) is adding wearables to provide similar guidance.
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.
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:
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.